Consensus alignment for reliable framework prediction in homology modeling | Zendy

J C Prasad | Zendy; Stephen R. Comeau | Zendy; Szilárd Vajda | Zendy; Carlos J. Camacho | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Consensus alignment for reliable framework prediction in homology modeling

Author(s) -

J C Prasad,

Stephen R. Comeau,

Szilárd Vajda,

Carlos J. Camacho

Publication year - 2003

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/btg211

Subject(s) - multiple sequence alignment , structural alignment , benchmark (surveying) , computer science , set (abstract data type) , algorithm , sequence alignment , sequence (biology) , data mining , mathematics , artificial intelligence , pattern recognition (psychology) , biology , peptide sequence , biochemistry , genetics , geodesy , gene , programming language , geography

Even the best sequence alignment methods frequently fail to correctly identify the framework regions for which backbones can be copied from the template into the target structure. Since the underprediction and, more significantly, the overprediction of these regions reduces the quality of the final model, it is of prime importance to attain as much as possible of the true structural alignment between target and template.

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