Abstract
Protein hubs in protein–protein interaction network are especially important due to their central roles in the entire network. Despite of their importance, the folding kinetics of hub proteins in comparison with non-hubs is still unknown. In this work, the folding rates for protein hubs and non-hubs were predicted and compared for the interactome of Escherichia coli K12, and the results showed that hub proteins fold faster than non-hub proteins. A possible explanation might be that protein hubs have more and fast-folding structural conformations than non-hubs, which leads to the notion of “hub of hubs” in the protein conformation space. It was found that the sequence and structure features relevant to protein folding rates are also different between hub and non-hub proteins. Moreover, the interacting proteins tend to have similar folding rates. These results gave insightful implications for understanding the interplay between the mechanisms of protein folding and interaction.
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Bastolla U, Bruscolini P, Velasco JL (2012) Sequence determinants of protein folding rates: positive correlation between contact energy and contact range indicates selection for fast folding. Proteins 80(9):2287–2304. doi:10.1002/prot.24118
Batada NN, Hurst LD, Tyers M (2006) Evolutionary and physiological importance of hub proteins. PLoS Comput Biol 2(7):e88
Bertolazzi P, Bock ME, Guerra C (2013) On the functional and structural characterization of hubs in protein-protein interaction networks. Biotechnol Adv 31(2):274–286. doi:10.1016/j.biotechadv.2012.12.002
Bhardwaj N, Lu H (2005) Correlation between gene expression profiles and protein-protein interactions within and across genomes. Bioinformatics 21(11):2730–2738. doi:10.1093/bioinformatics/bti398
Bowman GR, Pande VS (2010) Protein folded states are kinetic hubs. Proc Natl Acad Sci USA 107(24):10890–10895. doi:10.1073/pnas.1003962107
Chen T, Song J, Chan HS (2015) Theoretical perspectives on nonnative interactions and intrinsic disorder in protein folding and binding. Curr Opin Struct Biol 30:32–42. doi:10.1016/j.sbi.2014.12.002
Debes C, Wang M, Caetano-Anolles G, Grater F (2013) Evolutionary optimization of protein folding. PLoS Comput Biol 9(1):e1002861. doi:10.1371/journal.pcbi.1002861
Dill KA, MacCallum JL (2012) The protein-folding problem, 50 years on. Science 338(6110):1042–1046. doi:10.1126/science.1219021
Dill KA, Ghosh K, Schmit JD (2011) Physical limits of cells and proteomes. Proc Natl Acad Sci USA 108(44):17876–17882. doi:10.1073/pnas.1114477108
Dunker AK, Oldfield CJ, Meng J, Romero P, Yang JY, Chen JW, Vacic V, Obradovic Z, Uversky VN (2008) The unfoldomics decade: an update on intrinsically disordered proteins. BMC Genom 9(Suppl 2):S1. doi:10.1186/1471-2164-9-S2-S1
Gianni S, Dogan J, Jemth P (2016) Coupled binding and folding of intrinsically disordered proteins: what can we learn from kinetics? Curr Opin Struct Biol 36:18–24. doi:10.1016/j.sbi.2015.11.012
Giri Rao VH, Gosavi S (2016) Using the folding landscapes of proteins to understand protein function. Curr Opin Struct Biol 36:67–74. doi:10.1016/j.sbi.2016.01.001
Gromiha MM, Selvaraj S (2001) Comparison between long-range interactions and contact order in determining the folding rate of two-state proteins: application of long-range order to folding rate prediction. J Mol Biol 310(1):27–32. doi:10.1006/jmbi.2001.4775
Gromiha MM, Selvaraj S (2008) Bioinformatics approaches for understanding and predicting protein folding rates. Curr Bioinform 3(1):1–9
Gromiha MM, Thangakani AM, Selvaraj S (2006) FOLD-RATE: prediction of protein folding rates from amino acid sequence. Nucleic Acids Res (Web Server issue) 34:W70–W74
Haliloglu T, Bahar I (2015) Adaptability of protein structures to enable functional interactions and evolutionary implications. Curr Opin Struct Biol 35:17–23. doi:10.1016/j.sbi.2015.07.007
Huang JT, Cheng JP, Chen H (2007) Secondary structure length as a determinant of folding rate of proteins with two- and three-state kinetics. Proteins 67(1):12–17. doi:10.1002/prot.21282
Huang JT, Xing DJ, Huang W (2012) Relationship between protein folding kinetics and amino acid properties. Amino Acids 43(2):567–572. doi:10.1007/s00726-011-1189-3
Ivankov DN, Finkelstein AV (2004) Prediction of protein folding rates from the amino acid sequence-predicted secondary structure. Proc Natl Acad Sci USA 101(24):8942–8944. doi:10.1073/pnas.0402659101
Kabsch W, Sander C (1983) Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features. Biopolymers 22(12):2577–2637. doi:10.1002/bip.360221211
Lin GN, Wang Z, Xu D, Cheng J (2010) SeqRate: sequence-based protein folding type classification and rates prediction. BMC Bioinformatics 11(Suppl 3):S1. doi:10.1186/1471-2105-11-S3-S1
Ma BG, Guo JX, Zhang HY (2006) Direct correlation between proteins’ folding rates and their amino acid compositions: an ab initio folding rate prediction. Proteins 65(2):362–372
Ma BG, Chen LL, Zhang HY (2007) What determines protein folding type? An investigation of intrinsic structural properties and its implications for understanding folding mechanisms. J Mol Biol 370(3):439–448
Ma BG, Chen LL, Zhang HY (2008) FD server: a web service for protein folding research. Nat Prece. <http://hdl.handle.net/10101/npre.2008.2349.1> (2008) (Currently available at http://ibi.hzau.edu.cn/FDserver). Accessed 18 Mar 2016
Mirny LA, Abkevich VI, Shakhnovich EI (1998) How evolution makes proteins fold quickly. Proc Natl Acad Sci USA 95(9):4976–4981
Munoz V, Campos LA, Sadqi M (2016) Limited cooperativity in protein folding. Curr Opin Struct Biol 36:58–66. doi:10.1016/j.sbi.2015.12.001
Onuchic JN, Wolynes PG (2004) Theory of protein folding. Curr Opin Struct Biol 14(1):70–75. doi:10.1016/j.sbi.2004.01.009
Patil A, Kinoshita K, Nakamura H (2010) Hub promiscuity in protein-protein interaction networks. Int J Mol Sci 11(4):1930–1943
Perez A, Morrone JA, Simmerling C, Dill KA (2016) Advances in free-energy-based simulations of protein folding and ligand binding. Curr Opin Struct Biol 36:25–31. doi:10.1016/j.sbi.2015.12.002
Plaxco KW, Simons KT, Baker D (1998) Contact order, transition state placement and the refolding rates of single domain proteins. J Mol Biol 277(4):985–994. doi:10.1006/jmbi.1998.1645
Powers ET, Morimoto RI, Dillin A, Kelly JW, Balch WE (2009) Biological and chemical approaches to diseases of proteostasis deficiency. Annu Rev Biochem 78:959–991
Rollins GC, Dill KA (2014) General mechanism of two-state protein folding kinetics. J Am Chem Soc 136(32):11420–11427. doi:10.1021/ja5049434
Shoemaker BA, Panchenko AR (2007) Deciphering protein-protein interactions. Part I. Experimental techniques and databases. PLoS Comput Biol 3(3):e42. doi:10.1371/journal.pcbi.0030042
Tyagi M, Bornot A, Offmann B, de Brevern AG (2009) Analysis of loop boundaries using different local structure assignment methods. Protein Sci 18(9):1869–1881. doi:10.1002/pro.198
Ward JJ, Sodhi JS, McGuffin LJ, Buxton BF, Jones DT (2004) Prediction and functional analysis of native disorder in proteins from the three kingdoms of life. J Mol Biol 337(3):635–645. doi:10.1016/j.jmb.2004.02.002
Xia Y, Levitt M (2004) Funnel-like organization in sequence space determines the distributions of protein stability and folding rate preferred by evolution. Proteins 55(1):107–114. doi:10.1002/prot.10563
Zhou H, Zhou Y (2002) Folding rate prediction using total contact distance. Biophys J 82(1 Pt 1):458–463
Acknowledgments
We’d like to thank Bao-Hai Hao for his assistance in data analysis and helpful discussion. This work was supported by the National Natural Science Foundation of China (31570844, 31100602), the National Basic Research Program of China (973 project, Grant 2013CB127103), Project J1103510 supported by NSFC, Project 2010QC016, 2011PY070 and 2013JC009 supported by the Fundamental Research Funds for the Central Universities, and the Scientific Research Foundation for the Returned Overseas Chinese Scholars, State Education Ministry of China. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
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Xu, HR., Cheng, JF., Hu, XP. et al. Are protein hubs faster folders? Exploration based on Escherichia coli proteome. Amino Acids 48, 2747–2753 (2016). https://doi.org/10.1007/s00726-016-2309-x
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DOI: https://doi.org/10.1007/s00726-016-2309-x