Literature DB >> 11159418

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

A Rossi1, C Micheletti, F Seno, A Maritan.   

Abstract

A simple and very efficient protein design strategy is proposed by developing some recently introduced theoretical tools which have been successfully applied to exactly solvable protein models. The design approach is implemented by using three amino acid classes and it is based on the minimization of an appropriate energy function. For a given native state the results of the design procedure are compared, through a statistical analysis, with the properties of an ensemble of sequences folding in the same conformation. If the success rate is computed on those sites designed with high confidence, it can be as high as 80%. The method is also able to identify key sites for the folding process: results for 2ci2 and barnase are in very good agreement with experimental results.

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Year:  2001        PMID: 11159418      PMCID: PMC1301249          DOI: 10.1016/S0006-3495(01)76030-4

Source DB:  PubMed          Journal:  Biophys J        ISSN: 0006-3495            Impact factor:   4.033


  28 in total

1.  Optimal shapes of compact strings.

Authors:  A Maritan; C Micheletti; A Trovato; J R Banavar
Journal:  Nature       Date:  2000-07-20       Impact factor: 49.962

2.  Contact potential that recognizes the correct folding of globular proteins.

Authors:  V N Maiorov; G M Crippen
Journal:  J Mol Biol       Date:  1992-10-05       Impact factor: 5.469

3.  Prediction of protein folding from amino acid sequence over discrete conformation spaces.

Authors:  G M Crippen
Journal:  Biochemistry       Date:  1991-04-30       Impact factor: 3.162

Review 4.  The folding of an enzyme. II. Substructure of barnase and the contribution of different interactions to protein stability.

Authors:  L Serrano; J T Kellis; P Cann; A Matouschek; A R Fersht
Journal:  J Mol Biol       Date:  1992-04-05       Impact factor: 5.469

5.  Accuracy of side-chain prediction upon near-native protein backbones generated by Ab initio folding methods.

Authors:  E S Huang; P Koehl; M Levitt; R V Pappu; J W Ponder
Journal:  Proteins       Date:  1998-11-01

6.  Designing amino acid sequences to fold with good hydrophobic cores.

Authors:  S Sun; R Brem; H S Chan; K A Dill
Journal:  Protein Eng       Date:  1995-12

7.  Design of proteins with selected thermal properties.

Authors:  M P Morrissey; E I Shakhnovich
Journal:  Fold Des       Date:  1996

8.  De novo protein design: fully automated sequence selection.

Authors:  B I Dahiyat; S L Mayo
Journal:  Science       Date:  1997-10-03       Impact factor: 47.728

9.  Conserved residues and the mechanism of protein folding.

Authors:  E Shakhnovich; V Abkevich; O Ptitsyn
Journal:  Nature       Date:  1996-01-04       Impact factor: 49.962

10.  A new approach to the design of stable proteins.

Authors:  E I Shakhnovich; A M Gutin
Journal:  Protein Eng       Date:  1993-11
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  4 in total

1.  Protein Science Meets Artificial Intelligence: A Systematic Review and a Biochemical Meta-Analysis of an Inter-Field.

Authors:  Jalil Villalobos-Alva; Luis Ochoa-Toledo; Mario Javier Villalobos-Alva; Atocha Aliseda; Fernando Pérez-Escamirosa; Nelly F Altamirano-Bustamante; Francine Ochoa-Fernández; Ricardo Zamora-Solís; Sebastián Villalobos-Alva; Cristina Revilla-Monsalve; Nicolás Kemper-Valverde; Myriam M Altamirano-Bustamante
Journal:  Front Bioeng Biotechnol       Date:  2022-07-07

2.  Ultra-fast evaluation of protein energies directly from sequence.

Authors:  Gevorg Grigoryan; Fei Zhou; Steve R Lustig; Gerbrand Ceder; Dane Morgan; Amy E Keating
Journal:  PLoS Comput Biol       Date:  2006-06-16       Impact factor: 4.475

3.  A maximum likelihood framework for protein design.

Authors:  Claudia L Kleinman; Nicolas Rodrigue; Cécile Bonnard; Hervé Philippe; Nicolas Lartillot
Journal:  BMC Bioinformatics       Date:  2006-06-29       Impact factor: 3.169

4.  Fast optimization of statistical potentials for structurally constrained phylogenetic models.

Authors:  Cécile Bonnard; Claudia L Kleinman; Nicolas Rodrigue; Nicolas Lartillot
Journal:  BMC Evol Biol       Date:  2009-09-09       Impact factor: 3.260

  4 in total

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