Literature DB >> 9261065

Neutral networks in protein space: a computational study based on knowledge-based potentials of mean force.

A Babajide1, I L Hofacker, M J Sippl, P F Stadler.   

Abstract

BACKGROUND: Many protein sequences, often unrelated, adopt similar folds. Sequences folding into the same shape thus form subsets of sequence space. The shape and the connectivity of these sets have implications for protein evolution and de novo design.
RESULTS: We investigate the topology of these sets for some proteins with known three-dimensional structure using inverse folding techniques. First, we find that sequences adopting a given fold do not cluster in sequence space and that there is no detectable sequence homology among them. Nevertheless, these sequences are connected in the sense that there exists a path such that every sequence can be reached from every other sequence while the fold remains unchanged. We find similar results for restricted amino acid alphabets in some cases (e. g. ADLG). In other cases, it seems impossible to find sequences with native-like behavior (e.g. QLR). These findings seem to be independent of the particular structure considered.
CONCLUSIONS: Amino acid sequences folding into a common shape are distributed homogeneously in sequence space. Hence, the connectivity of the set of these sequences implies the existence of very long neutral paths on all examined protein structures. Regarding protein design, these results imply that sequences with more or less arbitrary chemical properties can be attached to a given structural framework. But we also observe that designability varies significantly among native structures. These features of protein sequence space are similar to what has been found for nucleic acids.

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Substances:

Year:  1997        PMID: 9261065     DOI: 10.1016/S1359-0278(97)00037-0

Source DB:  PubMed          Journal:  Fold Des        ISSN: 1359-0278


  28 in total

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2.  On the evolution of primitive genetic codes.

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3.  Statistical properties of neutral evolution.

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5.  The evolvability of programmable hardware.

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6.  Neutral fitness landscapes in signalling networks.

Authors:  Pau Fernández; Ricard V Solé
Journal:  J R Soc Interface       Date:  2007-02-22       Impact factor: 4.118

7.  A nonadaptive origin of a beneficial trait: in silico selection for free energy of folding leads to the neutral emergence of mutational robustness in single domain proteins.

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Journal:  J Mol Evol       Date:  2013-12-21       Impact factor: 2.395

8.  Protein robustness promotes evolutionary innovations on large evolutionary time-scales.

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Journal:  Proc Biol Sci       Date:  2008-07-22       Impact factor: 5.349

9.  Mutation bias favors protein folding stability in the evolution of small populations.

Authors:  Raul Mendez; Miriam Fritsche; Markus Porto; Ugo Bastolla
Journal:  PLoS Comput Biol       Date:  2010-05-06       Impact factor: 4.475

10.  Sequence-structure relations of pseudoknot RNA.

Authors:  Fenix W D Huang; Linda Y M Li; Christian M Reidys
Journal:  BMC Bioinformatics       Date:  2009-01-30       Impact factor: 3.169

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