The DOI matches its Crossref record; 99 of the 99 references it cites were found in a registry or an index.
Dynamic protein–DNA recognition: beyond what can be seen
Open accessAbstract
Traditionally, specific DNA recognition is thought to rely on static contacts with the bases or phosphates. Recent results, however, indicate that residues far outside the binding context can crucially influence selectivity or binding affinity via transient, dynamic interactions with the DNA binding interface. These regions usually do not adopt a well-defined structure, even when bound to DNA, and thus form a fuzzy complex. Here, we propose the existence of a dynamic DNA readout mechanism, wherein distant segments modulate conformational preferences, flexibility or spacing of the DNA binding motifs or serve as competitive partners. Despite their low sequence similarity, these intrinsically disordered regions are often conserved at the structural level, and exploited for regulation of the transcription machinery via protein-protein interactions, post-translational modifications or alternative splicing.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Some IDPs/IDRs may remain unfolded and dynamic even in the bound state [19–23], creating fuzzy complexes (Fig. 1) [24, 25].”
From Intrinsically disordered proteins play diverse roles in cell signaling (2022) · cites this paper as [24]
Citations
Cites
ON THE NATURE OF ALLOSTERIC TRANSITIONS: A PLAUSIBLE MODEL.
Monod, J., Wyman, J., & Changeux, J. (1965) · Journal of Molecular Biology · doi:10.1016/s0022-2836(65)80285-6 · Cited by 7,681
Intrinsically unstructured proteins and their functions
Dyson, H. J., & Wright, P. E. (2005) · Nature Reviews Molecular Cell Biology · doi:10.1038/nrm1589 · Cited by 3,871
Comparison of Experimental Binding Data and Theoretical Models in Proteins Containing Subunits *
Koshland, D. E., Némethy, G., & Filmer, D. (1966) · Biochemistry · doi:10.1021/bi00865a047 · Cited by 3,019
Crystal Structure of a p53 Tumor Suppressor-DNA Complex: Understanding Tumorigenic Mutations
Cho, Y., Gorina, S., Jeffrey, P. D., & Pavletich, N. P. (1994) · Science · doi:10.1126/science.8023157 · Cited by 2,559
Breaking the Code of DNA Binding Specificity of TAL-Type III Effectors
Boch, J., Scholze, H., Schornack, S., Landgraf, A., Hahn, S., Kay, S., Lahaye, T., Nickstadt, A., & Bonas, U. (2009) · Science · doi:10.1126/science.1178811 · Cited by 2,470
Pabo, C. O., & Sauer, R. T. (1984) · Annual Review of Biochemistry · doi:10.1146/annurev.bi.53.070184.001453 · Cited by 1,585
The importance of intrinsic disorder for protein phosphorylation
Iakoucheva, L. M. (2004) · Nucleic Acids Research · doi:10.1093/nar/gkh253 · Cited by 1,429
Coupling of Local Folding to Site-Specific Binding of Proteins to DNA
Spolar, R. S., & Record, M. T. (1994) · Science · doi:10.1126/science.8303294 · Cited by 1,402
The role of DNA shape in protein–DNA recognition
Rohs, R., West, S. M., Sosinsky, A., Liu, P., Mann, R. S., & Honig, B. (2009) · Nature · doi:10.1038/nature08473 · Cited by 1,096
Crystal structure of a yeast TBP/TATA-box complex
Kim, Y., Geiger, J. H., Hahn, S., & Sigler, P. B. (1993) · Nature · doi:10.1038/365512a0 · Cited by 1,085
Flagged first, then by citations
Cited by
Sorted by citations
Items 101–167 of 167
Protein–RNA recognition: Cracking the code
Nahálka, J. (2013) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2013.11.006 · Cited by 12
Investigation of arc repressor DNA-binding specificity by comparative molecular dynamics simulations
Song, W., & Guo, J. (2014) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2014.997797 · Cited by 13
Pandey, P., Hasnain, S., & Ahmad, S. (2018) · Elsevier eBooks · doi:10.1016/b978-0-12-809633-8.20217-3 · Cited by 13
Xu, X., Feng, G., Huang, L., Yang, Z., Liu, Q., Yang, S., & Zhang, X. (2020) · Molecular Biology Reports · doi:10.1007/s11033-020-05279-9 · Cited by 12
Context-Dependent Heterotypic Assemblies of Intrinsically Disordered Peptides
Qiao, Y., Zia, A., Wu, G., Liu, Z., Guo, J., Chu, M., He, H., Wang, F., & Xu, B. (2025) · Journal of the American Chemical Society · doi:10.1021/jacs.4c12150 · Cited by 11
Malagrinò, F., Pennacchietti, V., Santorelli, D., Pagano, L., Nardella, C., Diop, A., Toto, A., & Gianni, S. (2022) · Biomolecules · doi:10.3390/biom12020209 · Cited by 11
Versatile roles of disordered transcription factor effector domains in transcriptional regulation
Datta, R. R., Akdogan, D., Tezcan, E. B., & Önal, P. (2025) · FEBS Journal · doi:10.1111/febs.17424 · Cited by 10
High Conformational Flexibility of the E2F1/DP1/DNA Complex
Saad, D., Paissoni, C., Chaves-Sanjuán, A., Nardini, M., Mantovani, R., Gnesutta, N., & Camilloni, C. (2021) · Journal of Molecular Biology · doi:10.1016/j.jmb.2021.167119 · Cited by 11
Jakubec, D., & Vondrášek, J. (2019) · Journal of Chemical Theory and Computation · doi:10.1021/acs.jctc.8b01144 · Cited by 9
Self-recognition behavior of a helix–loop–helix domain by a fragment scan
Beisswenger, M., & Cabrele, C. (2014) · Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics · doi:10.1016/j.bbapap.2014.06.015 · Cited by 8
Function of the N-terminal segment of the RecA-dependent nuclease Ref
Gruber, A. J., Olsen, T. M., Dvorak, R., & Cox, M. M. (2015) · Nucleic Acids Research · doi:10.1093/nar/gku1330 · Cited by 8
Popa, S. C., & Shin, J. A. (2019) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.9b06719 · Cited by 8
Grant, B. N., Dourlain, E. M., Araneda, J. N., Throneberry, M. L., & McFail-Isom, L. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt492 · Cited by 8
Molecular intricacies of intrinsically disordered proteins and drought stress in plants
Gupta, V., Kumari, P., Sonowal, K., Sathe, A. P., Mehta, K., & Salvi, P. (2024) · International Journal of Biological Macromolecules · doi:10.1016/j.ijbiomac.2024.139314 · Cited by 7
The Transcriptional Repressor Domain of Gli3 Is Intrinsically Disordered
Tsanev, R., Vanatalu, K., Jarvet, J., Tanner, R., Laur, K., Tiigimägi, P., Kragelund, B. B., Østerlund, T., & Kogerman, P. (2013) · PLoS ONE · doi:10.1371/journal.pone.0076972 · Cited by 7
Bie, L., Du, L., Yuan, Q., & Gao, J. (2018) · Journal of Molecular Modeling · doi:10.1007/s00894-018-3678-8 · Cited by 7
Macromolecular Interactions of Disordered Proteins
Simon, I. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21020504 · Cited by 5
Self-citationFuzzy binding model of molecular interactions between tropoelastin and integrin alphaVbeta3
Ozsvar, J., Wang, R., Tarakanova, A., Buehler, M. J., & Weiss, A. S. (2021) · Biophysical Journal · doi:10.1016/j.bpj.2021.04.037 · Cited by 6
Ramakrishnan, V., Jagannathan, S., Shaikh, A. R., & Rajagopalan, R. (2012) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/073911012010525020 · Cited by 5
Barbany, M., Morata, J., Meyer, T., Lois, S., Orozco, M., & de la Cruz, X. (2012) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.24112 · Cited by 5
Simulations of Higher‐Order Protein Organizations Using a Fuzzy Framework
Tüű-Szabó, B., Kóczy, L. T., & Fuxreiter, M. (2018) · Complexity · doi:10.1155/2018/6360846 · Cited by 8
Self-citationCaporaletti, F., Pietras, Z., Morad, V., Mårtensson, L., Gabel, F., Wallner, B., Martel, A., & Sunnerhagen, M. (2022) · Biophysical Journal · doi:10.1016/j.bpj.2022.11.2949 · Cited by 4
Ahn, H., Yu, J., Ryu, K., Ryu, J., Kim, S., Park, J. Y., Kim, J. K., Jung, I., An, H., Hong, S., et al. (2025) · Nucleic Acids Research · doi:10.1093/nar/gkae1281 · Cited by 4
Racca, J. D., Chatterjee, D., Chen, Y., Rai, R. K., Yang, Y., Georgiadis, M. M., Haas, E., & Weiss, M. A. (2022) · Frontiers in Endocrinology · doi:10.3389/fendo.2022.1029177 · Cited by 5
Tayal, N., Choudhary, P., Pandit, S. B., & Sandhu, K. S. (2014) · Molecular BioSystems · doi:10.1039/c3mb70539k · Cited by 4
Essential functions linked with structural disorder in organisms of minimal genome
Pancsa, R., & Tompa, P. (2016) · Biology Direct · doi:10.1186/s13062-016-0149-y · Cited by 5
ComparePD : Improving protein– DNA complex model comparison with hydrogen bond energy‐based metrics
Malik, F., & Guo, J. (2023) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.26493 · Cited by 3
Targeting MYC with protein drugs
Shin, J. A. (2024) · Progress in molecular biology and translational science · doi:10.1016/bs.pmbts.2024.07.001 · Cited by 3
Improved protein disorder predictor by smoothing output
Iqbal, S., Islam, M. N., & Hoque, M. T. (2014) · International Conference on Computer and Information Technology (ICCIT) · doi:10.1109/iccitechn.2014.7073113 · Cited by 3
Khare, H., Dey, D., Madhu, C., Senapati, D. K., Raghothama, S., Govindaraju, T., & Ramakumar, S. (2017) · Molecular BioSystems · doi:10.1039/c7mb00412e · Cited by 3
ABI1 regulates transcriptional activity of Androgen Receptor by novel DNA and AR binding mechanismPreprint
Porter, B. A., Li, X., Arya, N., Zhang, F., Kung, S. H. Y., Fazli, L., Oo, H. Z., Li, Y., Marincin, K. A., Kukkonen, K., et al. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.05.26.542350 · Cited by 3
Hastings, R., Aditham, A. K., DelRosso, N. V., Suzuki, P., & Fordyce, P. M. (2023) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2023.11.13.566946 · Cited by 4
Design principles of transcription factors with intrinsically disordered regionsPreprint
Ji, W., Hachmo, O., Barkai, N., & Amir, A. (2025) · eLife · doi:10.7554/elife.104956 · Cited by 5
Bean, E. L., Smith, J. L., & Grossman, A. D. (2025) · PLoS ONE · doi:10.1371/journal.pone.0318964 · Cited by 2
Design principles of transcription factors with intrinsically disordered regions
Ji, W., Hachmo, O., Barkai, N., & Amir, A. (2025) · eLife · doi:10.7554/elife.104956.3 · Cited by 3
Profiling genetically driven alternative splicing across the Indonesian archipelago
Ibeh, N., Kusuma, P., Darusallam, C. C., Malik, S. G., Sudoyo, H., McCarthy, D. J., & Romero, I. G. (2024) · The American Journal of Human Genetics · doi:10.1016/j.ajhg.2024.09.004 · Cited by 2
Agnarelli, A., Omari, K. E., Duman, R., Wagner, A., & Mancini, E. J. (2021) · Acta Crystallographica Section F Structural Biology Communications · doi:10.1107/s2053230x21006506 · Cited by 2
Improvement of protein disorder prediction by brainstorming consensus
Banerjee, S., Guha, S., Dutta, A., & Dutta, S. (2015) · IEEE Annual Information Technology, Electronics and Mobile Communication Conference (IEMCON) · doi:10.1109/iemcon.2015.7344428 · Cited by 2
Mignon, J., Leyder, T., & Michaux, C. (2024) · Elsevier eBooks · doi:10.1016/b978-0-443-21809-5.00011-9 · Cited by 1
Genes, DNA, and Protein–DNA Interactions
Roy, S. (2025) · Springer eBooks · doi:10.1007/978-981-96-6823-6_1 · Cited by 1
Sequence‐Dependent Heterotypic Assemblies of Intrinsically Disordered Peptides
Qiao, Y., Chu, M., Wu, G., Liu, Z., & Xu, B. (2025) · ChemistryEurope · doi:10.1002/ceur.202500124 · Cited by 1
Nagarajan, R., & Gromiha, M. M. (2016) · Lecture notes in computer science · doi:10.1007/978-3-319-42294-7_79 · Cited by 1
Chen, J., Qi, Y., Duan, Y., Duan, M., & Yang, M. (2020) · Proteins Structure Function and Bioinformatics · doi:10.1002/prot.25960 · Cited by 1
Evolution of Conditional Cooperativity Between HOXA11 and FOXO1 Through Allosteric RegulationPreprint
Nnamani, M. C., Ganguly, S., Lynch, V. J., Mizoue, L. S., Tong, Y., Darling, H. L., Fuxreiter, M., Meiler, J., & Wagner, G. P. (2015) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/014381 · Cited by 1
Self-citationThieme, S. (2019) · eDiss (Georg-August-Universität Göttingen) · doi:10.53846/goediss-7389 · Cited by 2
Development of dual emissive adenosine analogs for nucleic acid labeling and life sciences
Le, H. (2020) · theses.fr (ABES) · doi:10.70675/7de5f2d5z3a2az45dczad11z200277990dd7 · Cited by 1
Direct real-time correlation of protein conformation and substrate recognition
Ghoneim, M. (2015) · Illinois Digital Environment for Access to Learning and Scholarship (University of Illinois at Urbana-Champaign)
Remarkable Indications-How the Glycomics is Coded in Cells and Tissues
Nahálka, J. (2012) · Journal of Glycomics & Lipidomics · doi:10.4172/2153-0637.1000e107
Corry, G. N., Sykes, B. D., & Underhill, D. A. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/701656
Characterization of Multiple Surface Loops in Escherichia coli Biotin Protein Ligase Functions
Adikaram, P. R. (2012) · University Libraries (University of Maryland)
Coarse-Grained Simulation of Intrinsically Disordered Proteins
de Sancho, C. M. B. D. (2014) · CRC Press eBooks · doi:10.1201/b17979-17
Tamar Schlick, A. (2014) · Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature · doi:10.3410/f.718240466.793494108
The Fuzziness in Molecular, Supramolecular, and Systems Chemistry
Gentili, P. L. (2020) · MDPI eBooks · doi:10.3390/books978-3-03943-179-3
Awad, S. I., Smadi, O., Tomeh, M. F., & Alzghoul, S. (2023) · Journal of Molecular Modeling · doi:10.1007/s00894-023-05808-w
Pietras, Z., Caporaletti, F., Jeffries, C. M., Morad, V., Wallner, B., Martel, A., & Sunnerhagen, M. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.02.587325
Emerging Topics in Protein-DNA Interactions
Mirza, S., Pandey, P., Hasnain, S., & Ahmad, S. (2024) · Elsevier eBooks · doi:10.1016/b978-0-323-95502-7.00140-8
Weaving the fabric of quantum chemistry: Hungarians’ contributions at home and abroad
Śurján, P. R. (2025) · Advances in quantum chemistry · doi:10.1016/bs.aiq.2025.02.005
Design principles of transcription factors with intrinsically disordered regionsPreprint
Ji, W., Hachmo, O., Barkai, N., & Amir, A. (2025) · eLife · doi:10.7554/elife.104956.1
Design principles of transcription factors with intrinsically disordered regionsPreprint
Ji, W., Hachmo, O., Barkai, N., & Amir, A. (2025) · eLife · doi:10.7554/elife.104956.2
Shields, E. T., Slaughter, C. K., Mekkaoui, F., Magna, E. N., Shepherd, C., Lukeman, P. S., Spratt, D. E., & Snow, C. D. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.03.04.709581 · Cited by 1
DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction
Li, P., Liu, Y., Liang, L., & Rongming, L. (2026) · Advanced Science · doi:10.1002/advs.77501
The Complexity and Fuzziness of Conformational Chemistry: Theory and Applications
Gentili, P. L., & Uversky, V. N. (2026) · Molecules · doi:10.3390/molecules31213886
Metadata
- Authors
- Fuxreiter, M., Simon, I., & Bondos, S.
- Affiliations
- Texas A&M Health Science Center (US)
- ORCID
- Bondos, Sarah
- Venue
- Trends in Biochemical Sciences
- Publisher
- Elsevier BV
- Published
- 2011-08
- Volume
- 36
- Issue
- 8
- Pages
- 415-423
- ISSN
- 0968-0004 (ISSN-L)
- OpenAlex
- W2099650039
- Cited by
- 167
- References
- 99
- Citations by year
- 2026: 3 · 2025: 12 · 2024: 11 · 2023: 6 · 2022: 5 · 2021: 7 · 2020: 13 · 2019: 13 · 2018: 8 · 2017: 11 · 2016: 12 · 2015: 12 · 2014: 18 · 2013: 21 · 2012: 11
- FWCI
- 1.57
- Type
- journal article
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Trends in Biochemical Sciences (publishedVersion)
- PubMed (publishedVersion)
- University of Debrecen Electronic Archive (University of Debrecen) (submittedVersion, other-oa)
- Padua Research Archive (University of Padova) (submittedVersion)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Protein Structure and Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Diffusion and Search Dynamics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Genomics and Chromatin Dynamics
- Keywords
- protein-DNA recognition, intrinsically disordered regions, fuzzy complexes, DNA binding selectivity, protein flexibility, protein-protein interaction, post-translational modification, alternative splicing, transcriptional regulation, DNA-binding motifs
- MeSH terms
- DNA, DNA-Binding Proteins, Nucleic Acid Conformation, Protein Binding, Protein Conformation, Protein Processing, Post-Translational, Regulatory Sequences, Nucleic Acid, Alternative Splicing, Protein Interaction Domains and Motifs
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review