Abstract
Intrinsically Disordered Regions (IDRs) even though they cannot form a defined three-dimensional structure play a pivotal role in modulating cellular processes and signalling pathways. In the present study, we analyse the conformational changes in IDRs upon complex formation using a non-redundant dataset of binary, X-ray solved 356 protein-protein (P-P) complexes and their corresponding unbound forms. IDRs are prevalent in both unbound and complex proteins and after comparing them in both groups they were categorised into three classes: (a) Disordered-Ordered (D-O), where IDRs present in first group were observed to be ordered in the second group (b) Disordered-Partial Ordered (D-PO), where IDRs present in the first group were found to be partially ordered in the second group and (c) Disordered-Disordered (D-D), where IDRs present in one group remained disordered in the other group. The study of secondary structures of residues in the D-O category reveals that majority of IDRs upon complexation form coils followed by helices and strands. Though majority of residues of IDRs in the D-O class are located at the surface of P-P complexes, we observe a significant number of residues form the interface suggesting that they contribute to the stability of the complexes. Amino acids of IDRs under the D-O category are also involved in polar interactions making hydrogen bonds with other residues as well as water. There are some structured and partially structured regions in the unbound proteins which upon complexation become completely disordered. These findings provide fundamental insights into the underlying principles of molecular recognition by disordered regions in P-P complexes.
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References
Babu, M.M.: The contribution of intrinsically disordered regions to protein function, cellular complexity, and human disease. Biochem. Soc. Trans. 44, 1185 (2016)
Van Der Lee, R., et al.: Classification of intrinsically disordered regions and proteins. Chem. Rev. 114, 6589–6631 (2014)
Oldfield, C.J., Uversky, V.N., Dunker, A.K., Kurgan, L.: Introduction to intrinsically disordered proteins and regions. In: Intrinsically Disordered Proteins: Dynamics, Binding, and Function, pp. 1–34. Elsevier (2019)
Ferrie, J.J., Karr, J.P., Tjian, R., Darzacq, X.: “Structure”-function relationships in eukaryotic transcription factors: the role of intrinsically disordered regions in gene regulation. Mol. Cell 82, 3970–3984 (2022)
Misiura, M.M., Kolomeisky, A.B.: Role of intrinsically disordered regions in acceleration of protein-protein association. J. Phys. Chem. B 124, 20–27 (2020)
DeForte, S., Uversky, V.N.: Order, disorder, and everything in between (2016)
Wright, P.E., Dyson, H.J.: Intrinsically disordered proteins in cellular signalling and regulation (2015)
Trivedi, R., Nagarajaram, H.A.: Intrinsically disordered proteins: an overview (2022)
Uversky, V.N.: Functional roles of transiently and intrinsically disordered regions within proteins. FEBS J. 282(7), 1182–1189 (2015). https://doi.org/10.1111/febs.13202
Bondos, S.E., Dunker, A.K., Uversky, V.N.: Intrinsically disordered proteins play diverse roles in cell signaling (2022)
Fuxreiter, M.: Classifying the binding modes of disordered proteins. Int. J. Mol. Sci. 21, 1–9 (2020)
Olsen, J.G., Teilum, K., Kragelund, B.B.: Behaviour of intrinsically disordered proteins in protein–protein complexes with an emphasis on fuzziness. Cell. Mol. Life Sci. 74(17), 3175–3183 (2017). https://doi.org/10.1007/s00018-017-2560-7
Morris, O.M., Torpey, J.H., Isaacson, R.L.: Intrinsically disordered proteins: modes of binding with emphasis on disordered domains. Open Biol. 11(10), 210–222 (2021). https://doi.org/10.1098/rsob.210222
Tompa, P., Fuxreiter, M.: Fuzzy complexes: polymorphism and structural disorder in protein–protein interactions. Trends Biochem. Sci. 33, 2–8 (2008)
Uversky, V.N., Oldfield, C.J., Dunker, A.K.: Intrinsically disordered proteins in human diseases: introducing the D2 concept. Annu. Rev. Biophys. 37(1), 215–246 (2008). https://doi.org/10.1146/annurev.biophys.37.032807.125924
Blundell, T.L., Gupta, M.N., Hasnain, S.E.: Intrinsic disorder in proteins: relevance to protein assemblies, drug design and host-pathogen interactions (2020)
Ruan, H., Sun, Q., Zhang, W., Liu, Y., Lai, L.: Targeting intrinsically disordered proteins at the edge of chaos. Drug Discov. Today 24(1), 217–227 (2019). https://doi.org/10.1016/j.drudis.2018.09.017
Metallo, S.J.: Intrinsically disordered proteins are potential drug targets. Curr. Opin. Chem. Biol. 14, 481 (2010)
Sridhar, A., Orozco, M., Collepardo-Guevara, R.: Protein disorder-to-order transition enhances the nucleosome-binding affinity of H1. Nucleic Acids Res. 48, 5318–5331 (2020)
Moritsugu, K., Terada, T., Kidera, A.: Disorder-to-order transition of an intrinsically disordered region of sortase revealed by multiscale enhanced sampling. J. Am. Chem. Soc. 134, 7094–7101 (2012)
Ahmad, J., et al.: Disorder-to-order transition in PE–PPE proteins of Mycobacterium tuberculosis augments the pro-pathogen immune response. FEBS Open Biol. 10, 70–85 (2020)
Nishi, H., Fong, J.H., Chang, C., Teichmann, S.A., Panchenko, A.R.: Regulation of protein-protein binding by coupling between phosphorylation and intrinsic disorder: analysis of human protein complexes. Mol. Biosyst. 9, 1620–1626 (2013)
Uversky, V.N.: Intrinsically disordered proteins and their “mysterious” (meta)physics (2019)
Seoane, B., Carbone, A.: The complexity of protein interactions unravelled from structural disorder. PLoS Comput. Biol. 17, e1008546 (2021)
Quaglia, F., et al.: DisProt in 2022: improved quality and accessibility of protein intrinsic disorder annotation. Nucleic Acids Res. 50, D480–D487 (2022)
Fukuchi, S., et al.: IDEAL: Intrinsically disordered proteins with extensive annotations and literature. Nucleic Acids Res. 40 (2012)
Fukuchi, S., et al.: IDEAL in 2014 illustrates interaction networks composed of intrinsically disordered proteins and their binding partners. Nucleic Acids Res. 42 (2014)
Piovesan, D., et al.: MobiDB: intrinsically disordered proteins in 2021. Nucleic Acids Res. 49, D361–D367 (2021)
Erdos, G., Mátyás, P., Dosztányi, D.: IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation. Nucleic Acids Res. 49, W297–W303 (2021)
Mészáros, B., Erdös, G., Dosztányi, Z.: IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding. Nucleic Acids Res. 46, W329–W337 (2018)
Dosztányi, Z., Mészáros, B., Simon, I.: ANCHOR: web server for predicting protein binding regions in disordered proteins. Bioinformatics 25, 2745 (2009)
Jones, D.T., Cozzetto, D.: DISOPRED3: precise disordered region predictions with annotated protein-binding activity. Bioinformatics 31, 857–863 (2015)
Barik, A., Katuwawala, A., Hanson, J., Paliwal, K., Zhou, Y., Kurgan, L.: DEPICTER: intrinsic disorder and disorder function prediction server. J. Mol. Biol. 432, 3379–3387 (2020)
Berman, H.M., et al.: The protein data bank. Nucleic Acids Res. 28, 235–242 (2000)
Fu, L., Niu, B., Zhu, Z., Wu, S., Li, W.: CD-HIT: accelerated for clustering the next-generation sequencing data. Bioinformatics 28, 3150–3152 (2012)
Li, W., Godzik, A.: Cd-hit: a fast program for clustering and comparing large sets of protein or nucleotide sequences. Bioinformatics 22, 1658–1659 (2006)
Brandt, B.W., Heringa, J., Leunissen, J.A.M.: SEQATOMS: a web tool for identifying missing regions in PDB in sequence context. Nucleic Acids Res. 36, W255–W259 (2008)
Monzon, A.M., et al.: Experimentally determined long intrinsically disordered protein regions are now abundant in the Protein Data Bank. Int. J. Mol. Sci. 21, 1–13 (2020)
Oldfield, C.J., et al.: Utilization of protein intrinsic disorder knowledge in structural proteomics. Biochim. Biophys. Acta 1834, 487 (2013)
Gall, T.L., Romero, P.R., Cortese, M.S., Uversky, V.N., Dunker, A.K.: Intrinsic disorder in the Protein Data Bank. J. Biomol. Struct. Dyn. 24, 325–341 (2007)
Zhang, Y., Stec, B., Godzik, A.: Between order and disorder in protein structures – analysis of “dual personality” fragments in proteins. Structure 15, 1141 (2007)
Baruah, A., Rani, P., Biswas, P.: Conformational entropy of intrinsically disordered proteins from amino acid triads. Sci. Rep. 5 (2015)
Ferron, F., Longhi, S., Canard, B., Karlin, D.: A practical overview of protein disorder prediction methods. Proteins Struct. Funct. Bioinform. 65, 1–14 (2006)
Schrödinger LLC: The PyMOL Molecular Graphics System, Version 2.5 (2015)
Hubbard, S.J., Thornton, J.M.: ‘NACCESS’, Computer Program. Department of Biochemistry and Molecular Biology, University College, London (1993). www.bioinf.manchester.ac.uk/naccess/
Lee, B., Richards, F.M.: The interpretation of protein structures: estimation of static accessibility. J. Mol. Biol. 55(3), 379 (1971). https://doi.org/10.1016/0022-2836(71)90324-X
McDonald, I.K., Thornton, J.M.: Satisfying hydrogen bonding potential in proteins. J. Mol. Biol. 238, 777–793 (1994)
Jones, D.T.: Protein secondary structure prediction based on position-specific scoring matrices. J. Mol. Biol. 292, 195–202 (1999)
Buchan, D.W.A., Jones, D.T.: The PSIPRED protein analysis workbench: 20 years on. Nucleic Acids Res. 47, W402–W407 (2019)
Holm, L.: Dali server: structural unification of protein families. Nucleic Acids Res. 50, W210–W215 (2022)
Abraham, M., et al.: GROMACS 2023.1 Manual (2023)
Abraham, M.J., et al.: GROMACS: high performance molecular simulations through multi-level parallelism from laptops to supercomputers. SoftwareX 1–2, 19–25 (2015)
Robustelli, P., Piana, S., Shaw, D.E.: Developing a molecular dynamics force field for both folded and disordered protein states. Proc. Natl. Acad. Sci. U.S.A. 115, E4758–E4766 (2018)
Shrestha, U.R., Smith, J.C., Petridis, L.: Full structural ensembles of intrinsically disordered proteins from unbiased molecular dynamics simulations. Commun. Biol. 4(1), 243 (2021). https://doi.org/10.1038/s42003-021-01759-1
Bienert, S., et al.: The SWISS-MODEL repository – new features and functionality. Nucleic Acids Res. 45, D313–D319 (2017)
Waterhouse, A., et al.: SWISS-MODEL: homology modelling of protein structures and complexes. Nucleic Acids Res. 46, W296–W303 (2018)
Medina‐Pritchard, B., et al.: Structural basis for centromere maintenance by Drosophila CENP‐A chaperone CAL1. EMBO J. 39 (2020)
Nakagawa, N., Sugahara, M., Masui, R., Kato, R., Fukuyama, K., Kuramitsu, S.: Crystal structure of Thermus thermophilus HB8 UvrB protein, a key enzyme of nucleotide excision repair. J. Biochem. 126, 986–990 (1999)
Grinter, R., et al.: FusC, a member of the M16 protease family acquired by bacteria for iron piracy against plants. PLOS Biol. 16(8), e2006026 (2018). https://doi.org/10.1371/journal.pbio.2006026
Zhao, B., Kurgan, L.: Compositional bias of intrinsically disordered proteins and regions and their predictions. Biomolecules 12(7), 888 (2022)
Campen, A., Williams, R.M., Brown, C.J., Meng, J., Uversky, V.N., Dunker, A.K.: TOP-IDP-Scale: a new amino acid scale measuring propensity for intrinsic disorder. Protein Pept Lett. 15, 956 (2008)
Uversky, V.N.: The intrinsic disorder alphabet: III. Dual personality of serine. Intrins. Disord. Proteins 3(1), e1027032 (2015). https://doi.org/10.1080/21690707.2015.1027032
Cheng, S., Cetinkaya, M., Gräter, F.: How sequence determines elasticity of disordered proteins. Biophys. J. 99, 3863 (2010)
Structural and functional analysis of “non-smelly” proteins|Enhanced Reader. Accessed 29 Apr 2023
Ahmed, S.S., et al.: Characterization of intrinsically disordered regions in proteins informed by human genetic diversity. PLOS Comput. Biol. 18(3), e1009911 (2022). https://doi.org/10.1371/journal.pcbi.1009911
Vacic, V., et al.: Characterization of molecular recognition features, MoRFs, and their binding partners. J. Proteome Res. 6, 2351–2366 (2007)
Huang, O.W., et al.: Phosphorylation-dependent activity of the deubiquitinase DUBA. Nat. Struct. Mol. Biol. 19(2), 171–175 (2012)
Vance, N.R., Gakhar, L., Spies, M.A.: Allosteric tuning of caspase-7: a fragment-based drug discovery approach. Angew. Chem. Int. Ed. Engl. 56, 14443 (2017)
Abhari, B.A., Davoodi, J.: A mechanistic insight into SMAC peptide interference with XIAP-Bir2 inhibition of executioner caspases. J. Mol. Biol. 381, 645–654 (2008)
Aier, I., Varadwaj, P.K., Raj, U.: Structural insights into conformational stability of both wild-type and mutant EZH2 receptor. Sci. Rep. 6(1), 1–10 (2016)
Martínez, L.: Automatic identification of mobile and rigid substructures in molecular dynamics simulations and fractional structural fluctuation analysis. PLoS One 10(3), e0119264 (2015). https://doi.org/10.1371/journal.pone.0119264
Sneha, P., Priya Doss, C.G.: Molecular dynamics: new frontier in personalized medicine. Adv. Protein Chem. Struct. Biol. 102, 181–224 (2016)
Funari, R., Bhalla, N., Gentile, L.: Measuring the radius of gyration and intrinsic flexibility of viral proteins in buffer solution using small-angle X-ray scattering. ACS Meas. Sci. Au 2, 547–552 (2022)
Altschul, S.F., Gish, W., Miller, W., Myers, E.W., Lipman, D.J.: Basic local alignment search tool. J. Mol. Biol. 215(3), 403–410 (1990). https://doi.org/10.1016/S0022-2836(05)80360-2
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A.B. acknowledges the support from SERB, DST, India for SRG. M.M.K. is a recipient of GATE research fellowship from MHRD, India. P.B. is a recipient of junior research fellowship from NIT Durgapur, India.
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Kar, M.M., Bhargava, P., Barik, A. (2023). Computational Study of Conformational Changes in Intrinsically Disordered Regions During Protein-Protein Complex Formation. In: Rojas, I., Valenzuela, O., Rojas Ruiz, F., Herrera, L.J., Ortuño, F. (eds) Bioinformatics and Biomedical Engineering. IWBBIO 2023. Lecture Notes in Computer Science(), vol 13919. Springer, Cham. https://doi.org/10.1007/978-3-031-34953-9_28
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