Literature DB >> 12596265

Prediction of folding rates and transition-state placement from native-state geometry.

Cristian Micheletti1.   

Abstract

A variety of experimental and theoretical studies have established that the folding process of monomeric proteins is strongly influenced by the topology of the native state. In particular, folding times have been shown to correlate well with the contact order, a measure of contact locality. Our investigation focuses on identifying additional topologic properties that correlate with experimentally measurable quantities, such as folding rates and transition-state placement, for both two- and three-state folders. The validation against data from 40 experiments shows that a particular topological property that measures the interdependence of contacts, termed cliquishness or clustering coefficient, can account with statistically significant accuracy both for the transition state placement and especially for folding rates. The observed correlations can be further improved by optimally combining the distinct topological information captured by cliquishness and contact order. Copyright 2003 Wiley-Liss, Inc.

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Year:  2003        PMID: 12596265     DOI: 10.1002/prot.10342

Source DB:  PubMed          Journal:  Proteins        ISSN: 0887-3585


  10 in total

1.  Understanding the determinants of stability and folding of small globular proteins from their energetics.

Authors:  Guido Tiana; Fabio Simona; Giacomo M S De Mori; Ricardo A Broglia; Giorgio Colombo
Journal:  Protein Sci       Date:  2004-01       Impact factor: 6.725

2.  Real value prediction of protein folding rate change upon point mutation.

Authors:  Liang-Tsung Huang; M Michael Gromiha
Journal:  J Comput Aided Mol Des       Date:  2012-03-18       Impact factor: 3.686

3.  Characterization of the folding landscape of monomeric lactose repressor: quantitative comparison of theory and experiment.

Authors:  Payel Das; Corey J Wilson; Giovanni Fossati; Pernilla Wittung-Stafshede; Kathleen S Matthews; Cecilia Clementi
Journal:  Proc Natl Acad Sci U S A       Date:  2005-10-03       Impact factor: 11.205

4.  A critical assessment of the topomer search model of protein folding using a continuum explicit-chain model with extensive conformational sampling.

Authors:  Stefan Wallin; Hue Sun Chan
Journal:  Protein Sci       Date:  2005-06       Impact factor: 6.725

5.  Protein unfolding rates correlate as strongly as folding rates with native structure.

Authors:  Aron Broom; Shachi Gosavi; Elizabeth M Meiering
Journal:  Protein Sci       Date:  2014-12-26       Impact factor: 6.725

6.  FOLD-RATE: prediction of protein folding rates from amino acid sequence.

Authors:  M Michael Gromiha; A Mary Thangakani; S Selvaraj
Journal:  Nucleic Acids Res       Date:  2006-07-01       Impact factor: 16.971

7.  ProtDCal: A program to compute general-purpose-numerical descriptors for sequences and 3D-structures of proteins.

Authors:  Yasser B Ruiz-Blanco; Waldo Paz; James Green; Yovani Marrero-Ponce
Journal:  BMC Bioinformatics       Date:  2015-05-16       Impact factor: 3.169

8.  The protein folding rate and the geometry and topology of the native state.

Authors:  Jason Wang; Eleni Panagiotou
Journal:  Sci Rep       Date:  2022-04-16       Impact factor: 4.996

9.  Network measures for protein folding state discrimination.

Authors:  Giulia Menichetti; Piero Fariselli; Daniel Remondini
Journal:  Sci Rep       Date:  2016-07-28       Impact factor: 4.379

Review 10.  The Molten Globule, and Two-State vs. Non-Two-State Folding of Globular Proteins.

Authors:  Kunihiro Kuwajima
Journal:  Biomolecules       Date:  2020-03-06
  10 in total

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