Literature DB >> 10336377

Effect of alphabet size and foldability requirements on protein structure designability.

N E Buchler1, R A Goldstein.   

Abstract

A number of investigators have addressed the issue of why certain protein structures are especially common by considering structure designability, defined as the number of sequences that would successfully fold into any particular native structure. One such approach, based on foldability, suggested that structures could be classified according to their maximum possible foldability and that this optimal foldability would be highly correlated with structure designability. Other approaches have focused on computing the designability of lattice proteins written with reduced two-letter amino acid alphabets. These different approaches suggested contrasting characteristics of the most designable structures. This report compares the designability of lattice proteins over a wide range of amino acid alphabets and foldability requirements. While all alphabets have a wide distribution of protein designabilities, the form of the distribution depends on how protein "viability" is defined. Furthermore, under increasing foldability requirements, the change in designabilities for all alphabets are in good agreement with the previous conclusions of the foldability approach. Most importantly, it was noticed that those structures that were highly designable for the two-letter amino acid alphabets are not especially designable with higher-letter alphabets.

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Year:  1999        PMID: 10336377

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


  20 in total

1.  Modeling evolutionary landscapes: mutational stability, topology, and superfunnels in sequence space.

Authors:  E Bornberg-Bauer; H S Chan
Journal:  Proc Natl Acad Sci U S A       Date:  1999-09-14       Impact factor: 11.205

2.  On hydrophobicity correlations in protein chains.

Authors:  A Irbäck; E Sandelin
Journal:  Biophys J       Date:  2000-11       Impact factor: 4.033

3.  Protein topology and stability define the space of allowed sequences.

Authors:  Patrice Koehl; Michael Levitt
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

4.  Recombinatoric exploration of novel folded structures: a heteropolymer-based model of protein evolutionary landscapes.

Authors:  Yan Cui; Wing Hung Wong; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  Proc Natl Acad Sci U S A       Date:  2002-01-22       Impact factor: 11.205

5.  Evolution of functionality in lattice proteins.

Authors:  P D Williams; D D Pollock; R A Goldstein
Journal:  J Mol Graph Model       Date:  2001       Impact factor: 2.518

6.  Thoroughly sampling sequence space: large-scale protein design of structural ensembles.

Authors:  Stefan M Larson; Jeremy L England; John R Desjarlais; Vijay S Pande
Journal:  Protein Sci       Date:  2002-12       Impact factor: 6.725

7.  A comparison of genotype-phenotype maps for RNA and proteins.

Authors:  Evandro Ferrada; Andreas Wagner
Journal:  Biophys J       Date:  2012-04-18       Impact factor: 4.033

8.  Protein sequence entropy is closely related to packing density and hydrophobicity.

Authors:  H Liao; W Yeh; D Chiang; R L Jernigan; B Lustig
Journal:  Protein Eng Des Sel       Date:  2005-03-23       Impact factor: 1.650

9.  Comparing folding codes in simple heteropolymer models of protein evolutionary landscape: robustness of the superfunnel paradigm.

Authors:  Richard Wroe; Erich Bornberg-Bauer; Hue Sun Chan
Journal:  Biophys J       Date:  2004-10-22       Impact factor: 4.033

Review 10.  Protein folding thermodynamics and dynamics: where physics, chemistry, and biology meet.

Authors:  Eugene Shakhnovich
Journal:  Chem Rev       Date:  2006-05       Impact factor: 60.622

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