Literature DB >> 10737946

Hiking in the energy landscape in sequence space: a bumpy road to good folders.

G Tiana1, R A Broglia, E I Shakhnovich.   

Abstract

With the help of a simple 20-letter lattice model of heteropolymers, we investigated the energy landscape in the space of designed good-folder sequences. Low-energy sequences form clusters, interconnected via neutral networks, in the space of sequences. Residues that play a key role in the foldability of the chain and in the stability of the native state are highly conserved, even among the chains belonging to different clusters. If, according to the interaction matrix, some strong attractive interactions are almost degenerate (i.e., they can be realized by more than one type of amino acid contacts), sequence clusters group into a few superclusters. Sequences belonging to different superclusters are dissimilar, displaying very small ( approximately 10%) similarity, and residues in key sites are, as a rule, not conserved. Similar behavior is observed in the analysis of real protein sequences.

Mesh:

Substances:

Year:  2000        PMID: 10737946

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


  13 in total

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4.  Stability and the evolvability of function in a model protein.

Authors:  Jesse D Bloom; Claus O Wilke; Frances H Arnold; Christoph Adami
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5.  Funnel-like organization in sequence space determines the distributions of protein stability and folding rate preferred by evolution.

Authors:  Yu Xia; Michael Levitt
Journal:  Proteins       Date:  2004-04-01

6.  Deciphering the hidden informational content of protein sequences: foldability of proinsulin hinges on a flexible arm that is dispensable in the mature hormone.

Authors:  Ming Liu; Qing-xin Hua; Shi-Quan Hu; Wenhua Jia; Yanwu Yang; Sunil Evan Saith; Jonathan Whittaker; Peter Arvan; Michael A Weiss
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7.  The emergence of scaling in sequence-based physical models of protein evolution.

Authors:  Eric J Deeds; Eugene I Shakhnovich
Journal:  Biophys J       Date:  2005-04-01       Impact factor: 4.033

8.  Design of HIV-1-PR inhibitors that do not create resistance: blocking the folding of single monomers.

Authors:  Ricardo A Broglia; Guido Tiana; Ludovico Sutto; Davide Provasi; Fabio Simona
Journal:  Protein Sci       Date:  2005-10       Impact factor: 6.725

9.  Thermodynamics of neutral protein evolution.

Authors:  Jesse D Bloom; Alpan Raval; Claus O Wilke
Journal:  Genetics       Date:  2006-11-16       Impact factor: 4.562

10.  Energy profile of the space of model protein sequences.

Authors:  G Tiana; R A Broglia; E I Shakhnovich
Journal:  J Biol Phys       Date:  2001-06       Impact factor: 1.365

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