Literature DB >> 10656832

Statistical theory of combinatorial libraries of folding proteins: energetic discrimination of a target structure.

J Zou1, J G Saven.   

Abstract

A self-consistent theory is presented that can be used to estimate the number and composition of sequences satisfying a predetermined set of constraints. The theory is formulated so as to examine the features of sequences having a particular value of Delta=E(f)-<E>(u), where E(f) is the energy of sequences when in a target structure and <E>(u) is an average energy of non-target structures. The theory yields the probabilities w(i)(alpha) that each position i in the sequence is occupied by a particular monomer type alpha. The theory is applied to a simple lattice model of proteins. Excellent agreement is observed between the theory and the results of exact enumerations. The theory provides a quantitative framework for the design and interpretation of combinatorial experiments involving proteins, where a library of amino acid sequences is searched for sequences that fold to a desired structure. Copyright 2000 Academic Press.

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Year:  2000        PMID: 10656832     DOI: 10.1006/jmbi.1999.3426

Source DB:  PubMed          Journal:  J Mol Biol        ISSN: 0022-2836            Impact factor:   5.469


  25 in total

1.  A self-consistent knowledge-based approach to protein design.

Authors:  A Rossi; C Micheletti; F Seno; A Maritan
Journal:  Biophys J       Date:  2001-01       Impact factor: 4.033

2.  A polar, solvent-exposed residue can be essential for native protein structure.

Authors:  R B Hill; W F DeGrado
Journal:  Structure       Date:  2000-05-15       Impact factor: 5.006

3.  Identifying residue-residue clashes in protein hybrids by using a second-order mean-field approach.

Authors:  Gregory L Moore; Costas D Maranas
Journal:  Proc Natl Acad Sci U S A       Date:  2003-04-16       Impact factor: 11.205

4.  Designing gene libraries from protein profiles for combinatorial protein experiments.

Authors:  Wei Wang; Jeffery G Saven
Journal:  Nucleic Acids Res       Date:  2002-11-01       Impact factor: 16.971

5.  Computational design of water-soluble analogues of the potassium channel KcsA.

Authors:  Avram M Slovic; Hidetoshi Kono; James D Lear; Jeffery G Saven; William F DeGrado
Journal:  Proc Natl Acad Sci U S A       Date:  2004-02-06       Impact factor: 11.205

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.  Natural selection of more designable folds: a mechanism for thermophilic adaptation.

Authors:  Jeremy L England; Boris E Shakhnovich; Eugene I Shakhnovich
Journal:  Proc Natl Acad Sci U S A       Date:  2003-07-03       Impact factor: 11.205

8.  Computational design of a protein crystal.

Authors:  Christopher J Lanci; Christopher M MacDermaid; Seung-gu Kang; Rudresh Acharya; Benjamin North; Xi Yang; X Jade Qiu; William F DeGrado; Jeffery G Saven
Journal:  Proc Natl Acad Sci U S A       Date:  2012-04-25       Impact factor: 11.205

9.  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

10.  Sequence optimization and designability of enzyme active sites.

Authors:  Raj Chakrabarti; Alexander M Klibanov; Richard A Friesner
Journal:  Proc Natl Acad Sci U S A       Date:  2005-08-15       Impact factor: 11.205

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