ESyPred3D: Prediction of proteins 3D structures | Zendy

Christophe Lambert | Zendy; Nadia G. Léonard | Zendy; Xavier De Bolle | Zendy; Eric Depiereux | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

ESyPred3D: Prediction of proteins 3D structures

Author(s) -

Christophe Lambert,

Nadia G. Léonard,

Xavier De Bolle,

Eric Depiereux

Publication year - 2002

Publication title -

bioinformatics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 3.599

H-Index - 390

eISSN - 1367-4811

pISSN - 1367-4803

DOI - 10.1093/bioinformatics/18.9.1250

Subject(s) - modeller , computer science , weighting , homology modeling , sequence alignment , multiple sequence alignment , casp , structural alignment , data mining , protein structure prediction , sequence homology , homology (biology) , artificial intelligence , protein structure , base sequence , biology , peptide sequence , medicine , biochemistry , radiology , gene , enzyme

Homology or comparative modeling is currently the most accurate method to predict the three-dimensional structure of proteins. It generally consists in four steps: (1) databanks searching to identify the structural homolog, (2) target-template alignment, (3) model building and optimization, and (4) model evaluation. The target-template alignment step is generally accepted as the most critical step in homology modeling.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research