LFM-Pro: a tool for detecting significant local structural sites in proteins | Zendy

Ahmet Saçan | Zendy; Özgür Öztürk | Zendy; Hakan Ferhatosmanoğlu | Zendy; Yusu Wang | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

LFM-Pro: a tool for detecting significant local structural sites in proteins

Author(s) -

Ahmet Saçan,

Özgür Öztürk,

Hakan Ferhatosmanoğlu,

Yusu Wang

Publication year - 2007

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/btl685

Subject(s) - protein family , structural classification of proteins database , set (abstract data type) , identification (biology) , computational biology , computer science , feature (linguistics) , artificial intelligence , pattern recognition (psychology) , protein structure , data mining , biology , genetics , biochemistry , linguistics , botany , philosophy , gene , programming language

The rapidly growing protein structure repositories have opened up new opportunities for discovery and analysis of functional and evolutionary relationships among proteins. Detecting conserved structural sites that are unique to a protein family is of great value in identification of functionally important atoms and residues. Currently available methods are computationally expensive and fail to detect biologically significant local features.

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