FTIP: an accurate and efficient method for global protein surface comparison | Zendy

Yuan Zhang | Zendy; Xing Sui | Zendy; Scott M. Stagg | Zendy; Jinfeng Zhang | Zendy

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FTIP: an accurate and efficient method for global protein surface comparison

Author(s) -

Yuan Zhang,

Xing Sui,

Scott M. Stagg,

Jinfeng Zhang

Publication year - 2020

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/btaa076

Subject(s) - computer science , benchmark (surveying) , feature (linguistics) , triangulation , pattern recognition (psychology) , data mining , point (geometry) , iterative closest point , artificial intelligence , set (abstract data type) , mathematics , point cloud , cartography , philosophy , linguistics , geometry , programming language , geography

Global protein surface comparison (GPSC) studies have been limited compared to other research works on protein structure alignment/comparison due to lack of real applications associated with GPSC. However, the technology advances in cryo-electron tomography (CET) have made methods to identify proteins from their surface shapes extremely useful.

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