Moment invariants as shape recognition technique for comparing protein binding sites | Zendy

I. Sommer | Zendy; Oliver Müller | Zendy; Francisco S. Domingues | Zendy; Oliver Sander | Zendy; Joachim Weickert | Zendy; Thomas Lengauer | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Moment invariants as shape recognition technique for comparing protein binding sites

Author(s) -

I. Sommer,

Oliver Müller,

Francisco S. Domingues,

Oliver Sander,

Joachim Weickert,

Thomas Lengauer

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/btm503

Subject(s) - python (programming language) , pattern recognition (psychology) , binding site , feature (linguistics) , feature vector , similarity measure , set (abstract data type) , measure (data warehouse) , artificial intelligence , similarity (geometry) , computer science , mathematics , data mining , biology , image (mathematics) , genetics , linguistics , philosophy , programming language , operating system

An approach for identifying similarities of protein-protein binding sites is presented. The geometric shape of a binding site is described by computing a feature vector based on moment invariants. In order to search for similarities, feature vectors of binding sites are compared. Similar feature vectors indicate binding sites with similar shapes.

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