Comparative evaluation of shape retrieval methods on macromolecular surfaces: an application of computer vision methods in structural bioinformatics | Zendy

Mohamed Machat | Zendy; Florent Langenfeld | Zendy; Daniela Crăciun | Zendy; Léa Sirugue | Zendy; Taoufik Labib | Zendy; Nathalie Lagarde | Zendy; Maxime Maria | Zendy; Matthieu Montès | Zendy

Open Access

Comparative evaluation of shape retrieval methods on macromolecular surfaces: an application of computer vision methods in structural bioinformatics

Author(s) -

Mohamed Machat,

Florent Langenfeld,

Daniela Crăciun,

Léa Sirugue,

Taoufik Labib,

Nathalie Lagarde,

Maxime Maria,

Matthieu Montès

Publication year - 2021

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/btab511

Subject(s) - computer science , representation (politics) , function (biology) , protein structure , biomolecule , structural bioinformatics , protein function , sequence (biology) , information retrieval , data mining , computational biology , artificial intelligence , bioinformatics , biology , gene , biochemistry , genetics , evolutionary biology , politics , political science , law

The investigation of the structure of biological systems at the molecular level gives insights about their functions and dynamics. Shape and surface of biomolecules are fundamental to molecular recognition events. Characterizing their geometry can lead to more adequate predictions of their interactions. In the present work, we assess the performance of reference shape retrieval methods from the computer vision community on protein 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