Literature DB >> 12360530

Designability of protein structures: a lattice-model study using the Miyazawa-Jernigan matrix.

Hao Li1, Chao Tang, Ned S Wingreen.   

Abstract

We study the designability of all compact 3 x 3 x 3 and 6 x 6 lattice-protein structures using the Miyazawa-Jernigan (MJ) matrix. The designability of a structure is the number of sequences that design the structure, i.e., sequences that have that structure as their unique lowest-energy state. Previous studies of hydrophobic-polar (HP) models showed a wide distribution of structure designabilities. Recently, questions were raised concerning the use of a two-letter (HP) code in such studies. Here, we calculate designabilities using all 20 amino acids, with empirically determined interaction potentials (MJ matrix) and compare with HP model results. We find good qualitative agreement between the two models. In particular, highly designable structures in the HP model are also highly designable in the MJ model-and vice versa-with the associated sequences having enhanced thermodynamic stability. Copyright 2002 Wiley-Liss, Inc.

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Year:  2002        PMID: 12360530     DOI: 10.1002/prot.10239

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


  14 in total

1.  Coarse-grained sequences for protein folding and design.

Authors:  Scott Brown; Nicolas J Fawzi; Teresa Head-Gordon
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-08       Impact factor: 11.205

2.  An information theoretic approach to macromolecular modeling: I. Sequence alignments.

Authors:  Tiba Aynechi; Irwin D Kuntz
Journal:  Biophys J       Date:  2005-11       Impact factor: 4.033

3.  Screened nonbonded interactions in native proteins manipulate optimal paths for robust residue communication.

Authors:  Ali Rana Atilgan; Deniz Turgut; Canan Atilgan
Journal:  Biophys J       Date:  2007-02-09       Impact factor: 4.033

4.  Shape-dependent designability studies of lattice proteins.

Authors:  Myron Peto; Andrzej Kloczkowski; Robert L Jernigan
Journal:  J Phys Condens Matter       Date:  2007-07-18       Impact factor: 2.333

5.  Exploration of the relationship between topology and designability of conformations.

Authors:  Sumudu P Leelananda; Fadi Towfic; Robert L Jernigan; Andrzej Kloczkowski
Journal:  J Chem Phys       Date:  2011-06-21       Impact factor: 3.488

6.  Distribution of genotype network sizes in sequence-to-structure genotype-phenotype maps.

Authors:  Susanna Manrubia; José A Cuesta
Journal:  J R Soc Interface       Date:  2017-04       Impact factor: 4.118

7.  How Many Protein Sequences Fold to a Given Structure? A Coevolutionary Analysis.

Authors:  Pengfei Tian; Robert B Best
Journal:  Biophys J       Date:  2017-10-17       Impact factor: 4.033

8.  Understanding the effect of secondary structures and aggregation on human protein folding class evolution.

Authors:  Tina Begum; Tapash Chandra Ghosh
Journal:  J Mol Evol       Date:  2010-07-07       Impact factor: 2.395

9.  Comparative modeling and protein-like features of hydrophobic-polar models on a two-dimensional lattice.

Authors:  Sergio Moreno-Hernández; Michael Levitt
Journal:  Proteins       Date:  2012-04-13

10.  Use of machine learning algorithms to classify binary protein sequences as highly-designable or poorly-designable.

Authors:  Myron Peto; Andrzej Kloczkowski; Vasant Honavar; Robert L Jernigan
Journal:  BMC Bioinformatics       Date:  2008-11-18       Impact factor: 3.169

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