Conformational selection and induced fit mechanism underlie specificity in noncovalent interactions with ubiquitin

Tomasz Włodarski1,2, Bojan Žagrović3,2
1Laboratory of Bioinformatics and Bioengineering, Interdisciplinary Centre for Mathematical and Computational Modeling, University of Warsaw, Zwirki i Wigury 93, 02-089, Warsaw, Poland;
2Laboratory of Computational Biophysics, Mediterranean Institute for Life Sciences, Mestrovicevo setaliste b.b., 21000 Split, Croatia; and
3Department of Physics, University of Split, 2100 Split, Croatia

Tóm tắt

Noncovalent binding interactions between proteins are the central physicochemical phenomenon underlying biological signaling and functional control on the molecular level. Here, we perform an extensive structural analysis of a large set of bound and unbound ubiquitin conformers and study the level of residual induced fit after conformational selection in the binding process. We show that the region surrounding the binding site in ubiquitin undergoes conformational changes that are significantly more pronounced compared with the whole molecule on average. We demonstrate that these induced-fit structural adjustments are comparable in magnitude to conformational selection. Our final model of ubiquitin binding blends conformational selection with the subsequent induced fit and provides a quantitative measure of their respective contributions.

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Tài liệu tham khảo

10.1002/cber.18940270364

10.1073/pnas.44.2.98

HR Bosshard, Molecular recognition by induced fit: How fit is the concept? News Physiol Sci 16, 171–173 (2001).

10.1093/protein/12.9.713

10.1110/ps.8.6.1181

10.1073/pnas.96.18.9970

10.1110/ps.9.1.10

10.1002/prot.1107

10.1110/ps.21302

10.1016/S0968-0004(03)00135-X

10.1016/j.str.2004.09.014

10.1038/nature04105

10.1073/pnas.0507603102

10.1126/science.1130258

10.1038/454832a

10.1126/science.1158818

10.1002/prot.22223

10.1073/pnas.0802524105

10.1073/pnas.91.22.10370

10.1016/S0014-5793(99)00458-5

10.1126/science.1079731

10.1073/pnas.262411399

10.1021/bi0525066

10.1038/nature07161

10.1021/bi010621k

10.1529/biophysj.108.135467

10.1038/nature06232

10.1110/ps.083453808

10.1016/j.str.2007.04.014

10.1016/j.str.2008.02.017

10.1002/(SICI)1097-0134(20000515)39:3<261::AID-PROT90>3.0.CO;2-4

10.1016/j.jmb.2004.09.051

10.1073/pnas.0401942101

10.1529/biophysj.107.114835

10.1073/pnas.0805364105

10.1021/ja00381a009

10.1021/ja953503r

10.1021/ja010002z

10.1126/science.1157092

10.1371/journal.pcbi.1000168

10.1042/BST0361433

10.1038/nrm1701

10.1016/j.cell.2006.03.009

10.1126/science.1127085

10.1038/embor.2008.93

10.1038/nature03199

10.1371/journal.pcbi.1000393

10.1073/pnas.0511156103

10.1016/j.jmb.2008.05.042

A Language and Environment for Statistical Computing (R Foundation for Statistical Computing, Vienna, 2008).

10.1006/jmbi.1996.0424