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Knowledge‐based model building of proteins: Concepts and examples
Author(s) -
Bajorath Jürgen,
Stenkamp Ronald,
Aruffo Alejandro
Publication year - 1993
Publication title -
protein science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.353
H-Index - 175
eISSN - 1469-896X
pISSN - 0961-8368
DOI - 10.1002/pro.5560021103
Subject(s) - complement (music) , casp , computational biology , computer science , model building , similarity (geometry) , sequence (biology) , template , protein structure prediction , protein structure , protein structure database , structural bioinformatics , biology , artificial intelligence , physics , programming language , genetics , biochemistry , quantum mechanics , sequence database , complementation , gene , image (mathematics) , phenotype
We describe how to build protein models from structural templates. Methods to identify structural similarities between proteins in cases of significant, moderate to low, or virtually absent sequence similarity are discussed. The detection and evaluation of structural relationships is emphasized as a central aspect of protein modeling, distinct from the more technical aspects of model building. Computational techniques to generate and complement comparative protein models are also reviewed. Two examples, P‐selectin and gp39, are presented to illustrate the derivation of protein model structures and their use in experimental studies.