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DNA-binding proteins: Structure, function, and their role in cellular processes

DNA-binding proteins are proteins that interact with DNA to regulate essential cellular processes, including transcription, replication, repair, recombination, and chromatin organization, thereby maintaining genomic stability and orchestrating gene expression.

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DNA-binding proteins (DBPs) are a diverse group of proteins that interact with DNA to regulate various cellular processes1. DNA-binding proteins function in maintaining genomic integrity, transcription, DNA replication, DNA repair, chromatin organization, and recombination2.

Advances in structural biology, genomics, and single-molecule techniques have enhanced our understanding of DBP mechanisms and broadened their applications. This overview discusses the structure, function, and roles of DNA-binding proteins in cellular processes.

Some examples of DBPs include  transcription factors(TFs), nucleases, and histones. Their ability to interact either specifically or non-specifically with DNA makes them valuable tools in biotechnology and molecular diagnostics3. DBPs are vital in medical applications, including the development of antibiotics, cancer treatments, and therapies for genetic diseases4.

Recent advancements have enabled researchers to determine high-quality structures of these proteins and their DNA complexes5, offering valuable insights into base sequence recognition and DNA structural alterations upon binding.

Types of DNA-binding proteins

DNA-protein complexes play essential roles in vital cellular processes. These interactions involve DBPs binding either double- or single-stranded DNA. Broadly, DBPs can be classified into sequence-specific, non-sequence-specific, and single-stranded DNA-binding proteins.

Sequence-specific DNA-binding proteins

Sequence-specific DNA-binding proteins recognize and bind defined nucleotide motifs within the genome to regulate gene expression. They bind only to certain DNA sequences, such as promoter or enhancer regions, based on the base pair pattern6. These proteins interact with the major or minor groove of the DNA molecule through multiple weak interactions. For example, in Escherichia coli, catabolite gene activator protein (CAP) binds to the GC-rich regions of the major groove through weak electrostatic and van der Waals interactions7.

These proteins can also act as transcriptional enhancers or repressors, as seen with the tumor suppressor p53 protein8. Sequence-specific DBPs use structural motifs like zinc fingers, helix-turn-helix, or leucine zippers to interact with the DNA helix.

Transcription factors recognize and bind to specific DNA sequences that match their DNA-binding domains. For example, transcription factors like p53 and NF-κB bind to defined motifs in gene promoters or enhancers9, thereby regulating the expression of genes involved in apoptosis, cell cycle control, and immune responses.

Non-sequence-specific DNA-binding proteins

Non-sequence-specific DNA-binding proteins recognize DNA through structural features such as DNA bending or variations in electrostatic properties, rather than specific nucleotide sequences10. These proteins bind to the minor groove or backbone of DNA.

For example, bacterial histones (HU) bind non-specifically to the DNA backbone, regulating gene expression by modulating DNA accessibility11. Similarly, proteins like high mobility group (HMG) proteins in eukaryotes help organize and structure DNA within the cell, contributing to genome architecture and function12.

Single-stranded DNA-binding proteins (SSBs)

Single-strand binding proteins (SSBs) bind tightly to single-stranded DNA (ssDNA) during replication and repair, protecting it from degradation and preventing the formation of secondary structures13.

As helicase unwinds the DNA, creating regions of ssDNA, SSBs stabilize these exposed strands to prevent reannealing and errors such as deletions. While DNA polymerase synthesizes the new strand, one polymerase on the lagging strand backstitches to maintain continuity, further exposing ssDNA regions.

In eukaryotes, the replication protein A (RPA) complex serves as the primary SSB, functioning in both replication and repair14. Molecular dynamics simulations show that SSB-ssDNA complexes are structurally dynamic, with SSBs providing high-affinity binding sites that influence the equilibrium and mobility of ssDNA on the protein surface15. Researchers have demonstrated that, beyond maintaining genome stability and integrity, SSB-ssDNA interactions actively regulate transcription in all three domains of life and viruses13.

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Structural aspects of DNA-binding proteins

The structural features of DNA-binding proteins include specialized domains that facilitate their interaction with DNA. These domains exhibit conformational flexibility, allowing them to undergo structural changes upon binding, which is important for achieving high specificity and stable interactions.

Types of DNA-binding domains

DNA-binding domains of proteins facilitate interactions with DNA. DNA-binding domains are highly prevalent in transcription factor proteins. Common DNA-binding domains include helix-turn-helix, leucine zipper, zinc finger, and homeodomains.

Helix-turn-helix (HTH)

The HTH motif superclass encompasses diverse TFs such as homeodomains, winged helix domains, and heat shock factors17, which regulate important biological processes such as basal transcription, cellular differentiation, response to signaling pathways, and epigenetic gene expression control.

HTH proteins have a core structure composed of three α-helices, where the third helix, known as the recognition helix, binds to the DNA major groove and facilitates base-specific interactions18. The HTH motif can be associated with various effector domains, which impact biological functions. Based on structural variations, HTH motifs are of different types, such as bi-helical, tri-helical, tetra-helical, and winged HTH.

Zinc finger nucleases (ZFNs)

Zinc finger proteins function as TFs, with their characteristic finger domains playing a central role in gene regulation. ZFNs are stabilized by zinc ions and bind to the major groove of DNA for gene regulation19. They function as interaction modules, binding to nucleic acids, proteins, and small molecules20. Zinc finger structures are classified into multiple groups, with the majority falling into three main types such as Cys2His2-like fingers, treble clef fingers, and zinc ribbons.

Zinc-finger proteins play key roles in regulating processes, such as transcription, protein degradation, signal transduction, DNA repair, and cell migration21.

ZFN proteins form the largest class of transcription factors in the human genome and feature diverse DNA-binding motifs, including Cys2His2 (C2H2) and Gag knuckle types. These structural variations allow them to perform a wide range of biological functions. Numerous studies have linked zinc finger proteins to various pathological conditions, particularly multiple forms of cancer22.

Leucine zippers

Leucine zipper is a large transcription factor family that regulates cellular functions. The leucine zipper forms a coiled-coil structure in which two α-helices associate through hydrophobic interactions between leucine residues located at every seventh position within a heptad repeat23.

This structure is important for protein folding and design, as it represents a simple yet stable tertiary structure. Leucine zipper proteins and peptides are also used in biomaterials for applications in nanobiotechnology and tissue engineering24.

High mobility group (HMG) box

The high mobility group box (HMG-box) domain consists of ~75 amino acid residues25. It facilitates DNA binding in both sequence-specific and non-sequence-specific manners, with a preference for non-B-type DNA structures like bent or unwound DNA26.

These domains also participate in diverse protein-protein interactions and are found in various DNA-binding proteins, including chromatin remodelers27. Humans express a wider range of HMG-box proteins, especially transcription factors, which represent the most diverse subgroup. In contrast, plants show greater diversity in chromosomal HMGB-type proteins.

Protein-DNA recognition and specificity

Protein-DNA interactions are important for genetic and molecular processes. Based on DNA-binding specificity, proteins are classified as specific, multispecific, and non-specific28.

Specific DNA-binding proteins, such as transcription factors, demonstrate affinity and selectivity governed by structural determinants like hydrogen bond orientation and DNA groove geometry28. Multispecific proteins, by contrast, recognize broader patterns or families of DNA sequences28.

Tools like position-weighted matrices (PWMs) are used to model binding motifs and quantify interaction energies, bridging biophysical foundations with sequence specificity and promoter activity28.

Although binding affinity and specificity vary across proteins, all DNA-protein interactions rely on fundamental molecular forces such as π-π stacking, electrostatic interactions, hydrogen bonding, and van der Waals forces, establishing a continuum that spans specific to non-specific binding28.

Structural dynamics in DNA binding

Structural dynamics in DNA binding show the conformational changes of the DNA as well as proteins as they interact with each other. DNA-interacting proteins undergo conformational shifts upon interacting with DNA, enabling precise binding and regulating processes like gene expression or DNA repair, with mechanisms such as induced fit or conformational selection guiding these interactions29.

For example, SSBs exemplify dynamic DNA-protein interactions by actively translocating along DNA strands to stabilize them30. Similarly, allosteric regulation involves the binding of effector molecules that induce conformational changes, thereby modulating the protein’s activity and its interaction with DNA.

Diffracted X-ray tracking (DXT) was used to study the structural dynamics of the DNA-binding protein31.

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Mechanisms of DNA-protein interactions

Structural domains such as helix-turn-helix (HTH) and zinc-finger nuclease (ZFN) motifs mediate DNA-protein interactions by enabling recognition of specific DNA sequences. These interactions typically occur within the DNA grooves and involve weak molecular forces16. Upon binding, proteins undergo conformational changes that regulate critical processes, including gene expression, DNA replication, and repair.

Molecular basis of DNA recognition (direct and indirect readout)

Protein-DNA interactions involve direct and indirect mechanisms for specific recognition.

Direct readout

Direct readout refers to recognizing DNA sequences through direct protein and DNA base contacts32. Protein-DNA interactions are influenced by factors such as DNA sequence, DNA shape, hydrogen bonds, and van der Waals forces33.

Hydrogen bonds between protein side chains and DNA bases play a key role in stabilizing DNA-protein interactions. For example, transcription factors containing HTH or ZFN motifs directly recognize DNA sequences and allow sequence-dependent binding.

Missense mutations in the protein can disrupt its binding to DNA, impairing the cell’s ability to repair damaged DNA.

Indirect readout

Indirect readout involves recognizing the DNA’s intrinsic structure or its capacity to change shape upon protein binding32. Recognition through indirect readout can occur through local structural features of B-DNA, such as base pair parameters, dinucleotide step parameters, groove widths, and electrostatic potential34.

These shape attributes play an important role in facilitating DNA-protein interactions. Additionally, global structural properties, like DNA bending, bridging, wrapping, duplex stability, and supercoil-induced destabilization, contribute to DNA recognition over multiple helical turns34. For example, histone proteins and chromatin remodelers bind to DNA to aid in changing its conformation. Transcriptional activators also use the indirect readout method to bind to the bent regions of the DNA35.

Dynamics of protein binding and unbinding

Protein binding and unbinding from DNA are important for regulating transcription and other DNA-related processes in a crowded molecular environment with competing binding partners36.

DNA-binding proteins achieve binding specificity by recognizing functional binding sites within a crowded genome through specific or non-specific interactions. They often undergo kinetic proofreading, briefly binding non-targets before locating the correct site. Kinetic proofreading employs chemical energy to drive molecular recognition processes out of thermodynamic equilibrium, thereby allowing the system to amplify a single free-energy difference between correct and incorrect targets through multiple discriminatory steps, ultimately enhancing specificity and fidelity37. Moreover, DBPs rely on factors beyond core DNA motifs, such as chromatin accessibility and cooperativity38.

Chromatin inaccessibility39, nucleosome occupancy, and local DNA structure in flanking regions help distinguish functional sites from non-binding sites, even when motifs are identical. Histone modifications play a key role in transcriptional regulation by altering chromatin structure and influencing TF binding40. Unbinding is influenced by DNA structure and competing molecules, allowing proteins to perform tasks like transcription or repair and then dissociate.

histone-modifications

Transcription factors’ DNA-binding sites must maintain stable interactions with DNA long enough to influence transcription, yet be removable when their regulatory function ends - balancing stability with responsiveness to signals.

Functions and biological roles

Nucleic acid-binding proteins play essential roles in regulating gene expression by binding to specific DNA sequences and controlling transcription. They are important for DNA replication and repair, where they help unwind DNA, stabilize single-stranded regions, and facilitate the repair of damaged DNA. Additionally, these proteins are involved in chromatin remodeling and maintaining genome integrity by ensuring proper packaging and organization of DNA within the cell.

Regulation of gene expression

Regulation of gene expression is controlled by TFs, which bind to specific DNA sequences, regulating the transcription of genes into messenger RNA. These transcription factors interact with transcription factor binding sites (TFBSs)41, short DNA sequences, to either enhance or inhibit the recruitment of RNA polymerase, thereby influencing gene activity.

Various experimental and computational techniques, including ChIP-Seq and regression-based models, are used to identify TFBSs41, although challenges persist due to limitations in experimental methods and the need for more refined computational models to predict binding sites with greater accuracy.

DNA damage response and repair mechanisms

Protein-DNA interactions are important for DNA damage response and repair, mediated by specific binding domains recognizing DNA sequences or structures and stabilized by factors like hydrogen bonds and van der Waals forces.

Base excision repair and direct reversal repair pathways address DNA lesions caused by mutagens, with proteins like O6-methylguanine DNA methyltransferase (MGMT) reversing specific alkylation damage through a “suicidal” repair mechanism involving active site residues and nucleotide flipping42. In research, cell lines and lysates are frequently used to study these mechanisms, providing insights into the molecular dynamics of DNA repair.

Mutations or single-nucleotide polymorphisms (SNPs) in key repair proteins, particularly MGMT, can impair DNA repair processes, destabilize protein function, and increase susceptibility to cancers such as esophageal, colorectal, and thyroid cancer43.

Cell cycle regulation

The cell cycle is an important process that maintains the structural and functional integrity of the cell. Any defect in the cell cycle pathway can lead to several genetic disorders, chronic diseases, and cancer. Hence, DNA-binding proteins like transcription factors and histones play a significant role in regulating the process44.

The retinoblastoma protein (RB) and transcription factor p53 are key tumor suppressors involved in regulating the cell cycle. RB interacts with the E2F family to repress cell cycle regulator genes. p53 activates p21, thereby inhibiting RB phosphorylation and leading to cell cycle arrest45. The study of primary antibodies can help investigate the expression levels and activity of these proteins in various cell cycle stages, providing deeper insights into cancer progression and other cellular processes.

Further, chromatin remodeling proteins are predominantly expressed during G1/S and S phases, and translational regulation of DNA repair proteins complements transcriptional regulation, potentially driving cancer cell proliferation through feedback loops.

Epigenetic modifications and chromatin remodeling

Epigenetics involves heritable changes in gene expression without altering the DNA sequence, with DNA-binding proteins playing a key role in regulating chromatin structure, transcription factor recruitment, and gene accessibility46. Important DBPs include:

These processes are essential for cellular differentiation, development, and responses to environmental stimuli.

Applications in biotechnology and research

DNA-binding proteins have significant applications in biotechnology. In research, DBPs are important for studying gene regulation, DNA repair mechanisms, and cellular responses to DNA damage.

Additionally, DBPs are employed in diagnostic techniques, including biosensors and assay kits. For example, recent studies increasingly highlight the significant role of damage-associated molecular patterns (DAMPs) in the development of disseminated intravascular coagulation (DIC). Following cell death or activation of hematopoietic and parenchymal cells, components such as extracellular cell-free DNA and DNA-binding proteins such as histones and HMG box 1 (HMGB1) are released into the bloodstream47. The detection of these DNA-binding proteins (DBPs) offers a potential diagnostic approach for identifying disseminated intravascular coagulation (DIC) in patients.

CRISPR-Cas9 and gene editing tools

DNA-binding proteins like zinc finger proteins and transcription activator-like effectors (TALEs) are used in genome editing by being fused to restriction endonucleases like FokI48. Still, they face challenges in target specificity and modular assembly.

The CRISPR/Cas9 system, with its RNA-guided targeting mechanism, simplifies this process by allowing precise, scalable, and multiplexed genome editing with high efficiency49. Additionally, these customizable DNA-binding proteins can be fused with functional effector domains for applications beyond editing, such as transcriptional activation and epigenome modifications, expanding the versatility of genome engineering.

Development of artificial transcription factors

Protein interactions are essential in biology, and designing artificial DNA-binding proteins that can disrupt or modulate these interactions has great potential50. While empirical methods can generate binders from large libraries, computational approaches offer a more targeted and efficient way to design binders by focusing on specific regions of a protein surface.

Artificial transcription factors (ATFs) are synthetic tools engineered to imitate natural transcription factors, consisting of a DNA-binding domain (DBD) that targets specific DNA sequences and one or more transcriptional effector domains (TEDs) responsible for modulating gene expression51.

It offers significant potential for understanding and treating diseases like cancer and hereditary disorders52. Despite advancements in engineering ATFs for gene activation endogenously, challenges such as immunogenicity, inefficient delivery, off-target effects, and lack of durable gene activation persist. ATFs have applications in cell reprogramming, pathogenic gene screening, and disease treatment. However, obstacles to their clinical translation remain, prompting the need for strategies to enhance their effectiveness and overcome current limitations.

Role in synthetic biology for gene circuit design

Synthetic biology applies engineering principles to redesign cellular communication and processes, aiming to enhance cancer therapies by modifying cells and creating synthetic molecules. While monoclonal antibodies have been used to manipulate native biology, synthetic biology enables the creation of user-controlled genetic circuits, offering more flexibility and overcoming natural limitations.

DNA-binding proteins in synthetic biology are important for designing synthetic gene circuits with predictable and scalable functions. Synthetic DNA sponges, which decoy transcription factors, offer a powerful method for tuning gene expression by reducing basal leakage, increasing dynamic range, and improving host growth53. This approach, tested in E. coli, shows that DNA sponges can enhance complex gene circuits by decoying regulatory proteins, offering a systematic and versatile alternative to traditional gene regulation methods53.

The integration of artificial intelligence with synthetic biology will lead to more complex gene circuits for immunotherapy, enabling the expression of larger synthetic genes in human cells through advanced nonviral gene transfer systems.

Emerging research and future directions

Emerging research in DNA-binding proteins focuses on understanding their role in complex cellular processes, such as epigenetic regulation and chromatin dynamics. Understanding the specific residues involved and the recognition mechanism remains challenging. Several computational and structural bioinformatics approaches have been developed, including databases for protein-DNA interactions, structural analyses, and tools for predicting binding sites and specificity.

Techniques like electrophoretic mobility shift assay (EMSA) and filter binding assays are used to identify DNA-protein interactions, DNase footprinting to map protein binding sites, and chromatin immunoprecipitation sequencing (ChIP-seq) for genome-wide studies. However, multiple methods may be needed for comprehensive analyses.

Single-molecule studies

Single-molecule studies of DNA-binding proteins involve purifying and labeling proteins to observe their interactions with DNA54. However, challenges like loss of activity, incomplete labeling, and the inability to replicate the complex nuclear environment limit their accuracy.

Further, studies within living cells offer more biologically relevant insights but face difficulties in resolving individual proteins in the dense nuclear milieu and determining DNA strand orientation.

The single-molecule Analysis of DNA-binding proteins from nuclear extracts (SMADNE) method overcomes these limitations by integrating single-molecule techniques with nuclear extracts54. Tools such as optical tweezers and confocal microscopy enable precise measurement of protein binding specificity, diffusion, and interactions, effectively bridging the complexity of the nucleus with single-particle resolution.

In vitro techniques like protein binding microarrays (PBMs) characterize the sequence specificities of DNA-protein interactions within a single day55. This method involves binding a tagged DNA-binding protein to double-stranded DNA microarrays, washing away non-specific interactions, and labeling with a fluorophore to identify binding motifs.

PBMs have proven effective in annotating regulatory proteins, constructing gene regulatory networks, and identifying functional binding sites, including condition-specific ones, with results comparable to and complementary to ChIP-chip data.

Dynamics of protein searching on DNA

Protein search for specific DNA binding sites is an important biological process that focuses on rapid and efficient recognition. However, the complexity of protein-DNA interactions remains. A discrete-state stochastic model reveals that semi-specific binding sites56, or traps, have a significant impact on search dynamics, influenced by factors such as the positioning of target-trap sites, protein sliding distance, and DNA length.

Homeodomain proteins play important roles in development, yet their DNA-binding specificity remains challenging to understand due to similar target sequences. Using High-Throughput systematic evolution of ligands by exponential enrichment (SELEX) technique for DNA binding site selection by exponential enrichment data, researchers are using a computational approach to identify cooperative dimeric binding57. This data reveals that certain homeodomain proteins form dimers on DNA with specific spacing and orientation.

This shows that SELEX data can uncover binding preferences and cooperative interactions. It also explains that these proteins achieve specificity despite recognizing similar DNA sequences.

Epigenetic regulation by DNA-binding proteins

Epigenetic regulation involves intricate mechanisms that vary depending on the cellular and environmental context. This complexity poses significant challenges for researchers, particularly in cancer58, where epigenomic alterations often drive abnormal gene expression. Recent research has advanced our understanding of how DNA-binding proteins influence the epigenetic code. These findings provide critical insights into disease mechanisms and hold potential for the development of targeted therapies.

Advanced tools like ChIP-seq are giving us a clearer understanding of how DNA-binding proteins affect chromatin states in different cells and diseases59. They also reveal the complex and dynamic nature of epigenetic control.

Applications in synthetic biology

Emerging research on DNA-binding proteins is opening new frontiers in synthetic biology, where these proteins are being engineered to precisely regulate gene expression, construct synthetic gene circuits, and reprogram cellular behavior60, 61. Advances in protein design and CRISPR-based technologies have enabled the development of customizable DNA-binding domains such as TALE and TALEN that can target specific genomic loci with high specificity and efficiency62.

These engineered proteins are being integrated into synthetic regulatory networks to control complex cellular processes, including metabolic pathway optimization, cell fate determination, and biosensing63. Continued progress in DBPs is expected to accelerate innovations in biotechnology, therapeutic development, and sustainable biomanufacturing.

AI-driven prediction of protein-DNA interactions

Recent advancements in artificial intelligence, particularly deep learning, are greatly enhancing protein-DNA binding site prediction algorithms64. Machine learning models can now analyze large genomic datasets such as DNA sequence motifs, chromatin accessibility, and transcription factor binding profiles to predict protein-DNA interactions.

One example is deep predictor of binding specificity (DeepPBS), a deep learning model that predicts binding specificity based on protein-DNA structures64. It applies to both experimental and predicted models, offering interpretable insights into protein-DNA interactions. DeepPBS validates predictions through mutagenesis experiments and guides the design of proteins targeting specific DNA sequences, advancing molecular interaction studies and synthetic biology.

Predicting the structure of protein-nucleic acid complexes presents greater challenges than modeling proteins or RNA individually, primarily because most existing methods construct the components separately before combining them. Drawing inspiration from advanced machine learning frameworks such as RoseTTAFold, which model protein-DNA interactions, researchers have developed RoseTTAFoldNA64. Trained on structural data from the protein data bank, RoseTTAFoldNA accurately predicts protein-nucleic acid complex structures, even in the absence of close homologs, and outperforms several existing approaches in comparative benchmarks.

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FAQs

What roles do single-stranded binding proteins play in DNA replication?

Single-stranded binding proteins play an important role in DNA replication by binding to single-stranded DNA regions formed during DNA unwinding. They prevent the ssDNA from reannealing or forming secondary structures, ensuring the DNA remains accessible for replication. SSBs also help stabilize the ssDNA, allowing DNA polymerase and other replication machinery to function efficiently during DNA synthesis.

What is the structure and function of zinc finger proteins?

Zinc finger proteins have a characteristic structural motif where one or more zinc ions stabilize the fold of the protein, typically consisting of a β-sheet and an α-helix. This structure allows them to bind to specific DNA sequences, recognizing the major groove of the DNA through the α-helix, playing a key role in gene regulation, DNA repair, and transcription. Zinc finger proteins are versatile, functioning in a variety of cellular processes, including transcriptional regulation and protein-protein interactions, due to their ability to bind to both nucleic acids and other proteins.

How do transcription factors regulate gene expression?

Transcription factors regulate gene expression by binding to specific DNA sequences, such as promoters or enhancers, near target genes. They can either activate or repress transcription by recruiting or blocking RNA polymerase, influencing the transcription of genes into messenger RNA. Through these interactions, transcription factors control various cellular processes like cell differentiation, response to stimuli, and growth, ultimately regulating gene expression in a highly specific manner.

References

1.      Zhao, Z., Yang, W., Zhai, Y., et al. Identify DNA-binding proteins through the extreme gradient boosting algorithm. Frontiers in genetics. 12, 821996 (2022).

2.      Wu, Y., Lu, J., Kang, T. Human single-stranded DNA binding proteins: guardians of genome stability.  Acta biochimica et biophysica sinica. 48(7), 671–677 (2016).

3.      Nishimura, M., Arimura, Y., Nozawa, K., et al. Linker DNA and histone contributions in nucleosome binding by p53.  Journal of biochemistry.  168(6), 669–675 (2020).

4.      Shiroma, Y., Takahashi, R. U., Yamamoto, Y., et al. Targeting DNA binding proteins for cancer therapy. Cancer science. 111(4), 1058–1064 (2020).

5.      Poddar, S., Chakravarty, D., & Chakrabarti, P. Structural changes in DNA-binding proteins on complexation.  Nucleic acids research.  46(7), 3298–3308 (2018).

6.      Inukai, S., Kock, K. H., & Bulyk, M. L. (2017). Transcription factor-DNA binding: beyond binding site motifs. Current opinion in genetics & development. 43, 110–119 (2017).

7.      Ferraz, R. A. C., Lopes, A. L. G., da Silva, J. A. F., et al. DNA-protein interaction studies: a historical and comparative analysis. Plant methods. 17(1), 82 (2021).

8.      Sullivan, K., Galbraith, M., Andrysik, Z.  et al.  Mechanisms of transcriptional regulation by p53.  Cell death and differentiation.  25, 133–143 (2018).

9.      Younger, S. T., & Rinn, J. L. p53 regulates enhancer accessibility and activity in response to DNA damage.  Nucleic acids research.  45(17), 9889–9900 (2017).

10.  Chen, X., Tsai, M. Y., & Wolynes, P. G. The role of charge density coupled DNA bending in transcription factor sequence binding specificity: A generic mechanism for indirect readout. Journal of the American chemical society. 144(4), 1835–1845 (2022).

11.  Verma, S. C., Harned, A., Narayan, K., et al. Non-specific and specific DNA binding modes of bacterial histone, HU, separately regulate distinct physiological processes through different mechanisms.  Molecular microbiology.  119(4), 439–455 (2023).

12.  Voong, C. K., Goodrich, J. A., & Kugel, J. F. Interactions of HMGB proteins with the genome and the impact on disease.  Biomolecules.  11(10), 1451 (2021).

13.  Guo, J. T., & Malik, F. Single-stranded DNA binding proteins and their identification using machine learning-based approaches.  Biomolecules.  12(9), 1187 (2022).

14.  Pike, A. M., Friend, C. M., & Bell, S. P. Distinct RPA functions promote eukaryotic DNA replication initiation and elongation.  Nucleic acids research.  51(19), 10506–10518 (2023).

15.  Maffeo, C., & Aksimentiev, A. Molecular mechanism of DNA association with single-stranded DNA binding protein. Nucleic acids research. 45(21), 12125–12139 (2017).

16.  Alberts B, Johnson A, Lewis J, et al. DNA-binding motifs in gene regulatory proteins. Molecular Biology of the Cell. 4th edition. (2002).

17.  Blanc-Mathieu, R., Dumas, R., Turchi, L., et al. Plant-TFClass: a structural classification for plant transcription factors. bioRxiv. 11(22), 517060 (2022).

18.  Menon, S. K., & Lawrence, C. M. Helix-turn-helix motif. Brenner’s encyclopedia of genetics, second edition. Pages 412-415 (2013).

19.  Kamaliyan, Z., & Clarke, T. L. Zinc finger proteins: guardians of genome stability.  Frontiers in cell and developmental biology.  12, 1448789 (2024).

20.  Corley, M., Burns, M. C., & Yeo, G. W. How RNA-binding proteins interact with RNA: Molecules and mechanisms.  Molecular cell.  78(1), 9–29 (2020).

21.  Singh, J. K., & van Attikum, H. DNA double-strand break repair: Putting zinc fingers on the sore spot.  Seminars in cell & developmental biology.  113, 65–74 (2021).

22.  Cassandri, M., Smirnov, A., Novelli, F.  et al.  Zinc-finger proteins in health and disease.  Cell death discovery.  3, 17071 (2017).

23.  Hartmann M. D. Functional and structural roles of coiled coils. Sub-cellular biochemistry. 82, 63–93 (2017).

24.  Roca-Pinilla, R., Fortuna, S., Natalello, A.  et al.  Exploring the use of leucine zippers for the generation of a new class of inclusion bodies for pharma and biotechnological applications.  Microbial cell fact ories. 19, 175 (2020).

25.  Bollaert, E., de Rocca Serra, A., & Demoulin, J. B. The HMG box transcription factor HBP1: a cell cycle inhibitor at the crossroads of cancer signaling pathways. Cellular and molecular life sciences: CMLS. 76(8), 1529–1539 (2019).

26.  Hamilton, D. J., Hein, A. E., Wuttke, D. S., et al. The DNA binding high mobility group box protein family functionally binds RNA.  Wiley interdisciplinary reviews. RNA.  14(5), e1778 (2023).

27.  Mallik, R., Kundu, A. & Chaudhuri, S. High mobility group proteins: the multifaceted regulators of chromatin dynamics. Nucleus. 61, 213–226 (2018).

28.  Anashkina A. A. Protein-DNA recognition mechanisms and specificity.  Biophysical reviews.  15(5), 1007–1014 (2023).

29.  Poddar, S., Chakravarty, D., & Chakrabarti, P. Structural changes in DNA-binding proteins on complexation. Nucleic acids research. 46(7), 3298–3308 (2018).

30.  Antony, E., & Lohman, T. M. Dynamics of E. coli single stranded DNA binding (SSB) protein-DNA complexes.  Seminars in cell & developmental biology.  86, 102–111 (2019).

31.  Hosoe, Y., Sekiguchi, H., Sasaki, Y. C., et al. Structural dynamics of a DNA-binding protein analyzed using diffracted X-ray tracking.  Biophysical chemistry.  278, 106669 (2021).

32.  Ahmad, S., Kono, H., Araúzo-Bravo, M. J., et al. ReadOut: structure-based calculation of direct and indirect readout energies and specificities for protein-DNA recognition. Nucleic acids research. 34(Web Server issue), W124–W127 (2006).

33.  Kumar, D. T., Mendonca, E., Christy, J. P. et al. Chapter Eleven - A computational model to predict the structural and functional consequences of missense mutations in O6-methylguanine DNA methyltransferase. Advances in protein chemistry and structural biology, Academic press. Volume 115, pages 351-369 (2019).

34.  Sarkar, S., Dey, U., Khohliwe, T. B., et al. Analysis of nucleoid-associated protein-binding regions reveals DNA structural features influencing genome organization in Mycobacterium tuberculosis.  FEBS letters.  595(19), 2504–2521 (2021).

35.  Leben, K., Strmšek, Ž., Lebar, T., et al. Binding of the transcription activator-like effector augments transcriptional regulation by another transcription factor.  Nucleic acids research.  50(11), 6562–6574 (2022).

36.  Erbaş, A., & Marko, J. F. How do DNA-bound proteins leave their binding sites? The role of facilitated dissociation. Current opinion in chemical biology. 53, 118–124 (2019).

37.  Mukherjee, R., Sengar, A., Cabello-García, J., et al. Kinetic proofreading can enhance specificity in a nonenzymatic DNA strand displacement network. Journal of the American chemical society. 146(28), 18916–18926 (2024).

38.  Srivastava, D., & Mahony, S. Sequence and chromatin determinants of transcription factor binding and the establishment of cell type-specific binding patterns. Biochimica et biophysica acta. Gene regulatory mechanisms. 1863(6), 194443 (2020).

39.  Mansisidor, A. R., & Risca, V. I. Chromatin accessibility: methods, mechanisms, and biological insights.  Nucleus.  13(1), 236–276 (2022).

40.  Xin, B., & Rohs, R. Relationship between histone modifications and transcription factor binding is protein family specific.  Genome research.  28(3), 321–333 (2018).

41.  Wang, G., Wang, F., Huang, Q., et al. Understanding transcription factor regulation by integrating gene expression and DNase I hypersensitive sites. BioMed research international. 757530 (2015).

42.  Chatterjee, N., & Walker, G. C. Mechanisms of DNA damage, repair, and mutagenesis.  Environmental and molecular mutagenesis.  58(5), 235–263 (2017).

43.  Gielecińska, A., Kciuk, M., Kołat, D., et al. Polymorphisms of DNA repair genes in thyroid cancer. International journal of molecular sciences. 25(11), 5995 (2024).

44.  Chari, S., Wilky, H., Govindan, J., et al. Histone concentration regulates the cell cycle and transcription in early development. Development. 146(19), dev177402 (2019).

45.  Engeland, K. Cell cycle regulation: p53-p21-RB signaling.  Cell death & differentiation.  29, 946–960 (2022).

46.  Lee, H. T., Oh, S., Ro, D. H., et al. The key role of DNA methylation and histone acetylation in epigenetics of atherosclerosis.  Journal of lipid and atherosclerosis.  9(3), 419–434 (2020).

47.  Liaw, P. C., Ito, T., Iba, T., et al. DAMP and DIC: The role of extracellular DNA and DNA-binding proteins in the pathogenesis of DIC. Blood reviews. 30(4), 257–261 (2016).

48.  Hsu, P. D., Lander, E. S., & Zhang, F. Development and applications of CRISPR-Cas9 for genome engineering.  Cell.  157(6), 1262–1278 (2014).

49.  Saifaldeen, M., Al-Ansari, D. E., Ramotar, D., et al. CRISPR FokI Dead Cas9 system: Principles and applications in genome engineering. Cells. 9(11), 2518 (2020).

50.  Hossain, M. A., Barrow, J. J., Shen, Y., et al. Artificial zinc finger DNA binding domains: versatile tools for genome engineering and modulation of gene expression. Journal of cellular biochemistry. 116(11), 2435–2444 (2015).

51.  Sang, Y., Zhu, L., & Bao, Z. Development of artificial transcription factors and their applications in cell reprograming, genetic screen, and disease treatment. Molecular therapy. 32(12), 4208-4234 (2024).

52.  Martinez-Escobar, A., Luna-Callejas, B., & Ramón-Gallegos, E. CRISPR-dCas9-based artificial transcription factors to improve efficacy of cancer treatment with drug repurposing: Proposal for future research. Frontiers in oncology. 10, 604948 (2021).

53.  Wan, X., Pinto, F., Yu, L., et al. Synthetic protein-binding DNA sponge as a tool to tune gene expression and mitigate protein toxicity.  Nature communications.  11(1), 5961 (2020).

54.  Schaich, M. A., Schnable, B. L., Kumar, N., et al. Single-molecule analysis of DNA-binding proteins from nuclear extracts (SMADNE).  Nucleic acids research.  51(7), e39 (2023).

55.  Andrilenas, K. K., Penvose, A., & Siggers, T. Using protein-binding microarrays to study transcription factor specificity: homologs, isoforms and complexes.  Briefings in functional genomics.  14(1), 17–29 (2015).

56.  Iwahara, J., & Kolomeisky, A. B. Discrete-state stochastic kinetic models for target DNA search by proteins: Theory and experimental applications.  Biophysical chemistry.  269, 106521 (2021).

57.  Cain, B., Webb, J., Yuan, Z., et al. Prediction of cooperative homeodomain DNA binding sites from high-throughput-SELEX data. Nucleic acids research. 51(12), 6055–6072 (2023).

58.  Cheng, Y., He, C., Wang, M.  et al.  Targeting epigenetic regulators for cancer therapy: mechanisms and advances in clinical trials.  Signal transduction and targeted Therapy.  4, 62 (2019).

59.  Mundade, R., Ozer, H. G., Wei, H., et al. Role of ChIP-seq in the discovery of transcription factor binding sites, differential gene regulation mechanism, epigenetic marks and beyond. Cell cycle. 13(18), 2847–2852 (2014).

60.  Shaytan, A. K., Novikov, R. V., Vinnikov, R. S., et al. From DNA-protein interactions to the genetic circuit design using CRISPR-dCas systems.  Frontiers in molecular biosciences.  9, 1070526 (2022).

61.  Zhao, M., Kim, J., Jiao, J.  et al.  Construction of multilayered gene circuits using de-novo-designed synthetic transcriptional regulators in cell-free systems.  Journal of biological engineering.  18, 64 (2024).

62.  Becker, S., & Boch, J. TALE and TALEN genome editing technologies. Gene and genome editing. 2, 100007 (2021).

63.  Muller, M. M., Arndt, K. M., & Hoffman, S. A. Genetic circuits in synthetic biology: broadening the toolbox of regulatory devices. Frontiers in synthetic biology. 5, (2025).

64.  Mitra, R., Li, J., Sagendorf, J.M.  et al.  Geometric deep learning of protein–DNA binding specificity.  Nature methods.  21, 1674–1683 (2024).