(Q30322757)

English

Improvement of side-chain modeling in proteins with the self-consistent mean field theory method based on an analysis of the factors influencing prediction.

scientific article

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scholarly article

1 reference

Europe PubMed Central

18 June 2017

Improvement of side-chain modeling in proteins with the self-consistent mean field theory method based on an analysis of the factors influencing prediction. (English)

1 reference

Europe PubMed Central

18 June 2017

author name string

Mendes J

1

1 reference

Europe PubMed Central

18 June 2017

Soares CM

2

1 reference

Europe PubMed Central

18 June 2017

Carrondo MA

3

1 reference

Europe PubMed Central

18 June 2017

publication date

1 August 1999

1 reference

Europe PubMed Central

18 June 2017

1 reference

Europe PubMed Central

18 June 2017

50

1 reference

Europe PubMed Central

18 June 2017

111-131

1 reference

Europe PubMed Central

18 June 2017

2

1 reference

Europe PubMed Central

18 June 2017

Prediction of protein side-chain conformation by packing optimization.

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Tertiary templates for proteins. Use of packing criteria in the enumeration of allowed sequences for different structural classes

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21 January 2018

A new approach to the rapid determination of protein side chain conformations

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Fast and simple Monte Carlo algorithm for side chain optimization in proteins: application to model building by homology

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21 January 2018

Application of a self-consistent mean field theory to predict protein side-chains conformation and estimate their conformational entropy

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Backbone-dependent rotamer library for proteins. Application to side-chain prediction

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A self consistent mean field approach to simultaneous gap closure and side-chain positioning in homology modelling

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Mean-field minimization methods for biological macromolecules

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Identifiers

10.1002/(SICI)1097-0282(199908)50:2<111::AID-BIP1>3.0.CO;2-N

1 reference

Europe PubMed Central

18 June 2017

1 reference

Europe PubMed Central

18 June 2017

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