Literature DB >> 9729739

Computer search algorithms in protein modification and design.

J R Desjarlais1, N D Clarke.   

Abstract

The computer-aided design of protein sequences requires efficient search algorithms to handle the enormous combinatorial complexity involved. A variety of different algorithms have now been applied with some success. The choice of algorithm can influence the representation of the problem in several important ways--the discreteness of the configuration, the types of energy terms that can be used and the ability to find the global minimum energy configuration. The use of dead end elimination to design the complete sequence for a small protein motif and the use of genetic and mean-field algorithms to design hydrophobic cores for proteins represent the major themes of the past year.

Mesh:

Year:  1998        PMID: 9729739     DOI: 10.1016/s0959-440x(98)80125-5

Source DB:  PubMed          Journal:  Curr Opin Struct Biol        ISSN: 0959-440X            Impact factor:   6.809


  18 in total

Review 1.  De novo design of helical bundles as models for understanding protein folding and function.

Authors:  R B Hill; D P Raleigh; A Lombardi; W F DeGrado
Journal:  Acc Chem Res       Date:  2000-11       Impact factor: 22.384

2.  Prediction of amino acid sequence from structure.

Authors:  K Raha; A M Wollacott; M J Italia; J R Desjarlais
Journal:  Protein Sci       Date:  2000-06       Impact factor: 6.725

3.  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

4.  Paradigms for computational nucleic acid design.

Authors:  Robert M Dirks; Milo Lin; Erik Winfree; Niles A Pierce
Journal:  Nucleic Acids Res       Date:  2004-02-27       Impact factor: 16.971

Review 5.  Computational tools for epitope vaccine design and evaluation.

Authors:  Linling He; Jiang Zhu
Journal:  Curr Opin Virol       Date:  2015-03-31       Impact factor: 7.090

6.  Computational prediction of native protein ligand-binding and enzyme active site sequences.

Authors:  Raj Chakrabarti; Alexander M Klibanov; Richard A Friesner
Journal:  Proc Natl Acad Sci U S A       Date:  2005-07-05       Impact factor: 11.205

7.  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

8.  Metalloprotein and metallo-DNA/RNAzyme design: current approaches, success measures, and future challenges.

Authors:  Yi Lu
Journal:  Inorg Chem       Date:  2006-12-11       Impact factor: 5.165

Review 9.  Computer-aided design of functional protein interactions.

Authors:  Daniel J Mandell; Tanja Kortemme
Journal:  Nat Chem Biol       Date:  2009-11       Impact factor: 15.040

10.  Benchmarking a computational design method for the incorporation of metal ion-binding sites at symmetric protein interfaces.

Authors:  William A Hansen; Sagar D Khare
Journal:  Protein Sci       Date:  2017-05-31       Impact factor: 6.725

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