publication . Conference object . 2017

Global-to-local protein shape similarity system driven by digital elevation models

Daniela Craciun; Jeremy Sirugue; Matthieu Montes;
Open Access English
  • Published: 22 Nov 2017
  • Publisher: IEEE
Abstract
We are currently developing a bio-shape similarity system for supplying high-throughput protein shape similarity applications within massive datasets. The proposed system is powered by a global-to-local shape similarity system which exploits shape elevation and local convexity attributes. In the first step, a global similarity is computed between the shape descriptors associated to each protein input. The procedure outputs best N similarities chosen by the user, within a query-to-cluster approach. The second stage is a patch-based local similarity computation method which is designed to find the best similar target from the cluster for supplying query-to-target ...
Persistent Identifiers
Subjects
free text keywords: Shape similarity search, Protein structure, Computer vision, Similarity computation, Convexity, Digital elevation model, Mathematics, Exploit, Data mining, computer.software_genre, computer, Elevation
Funded by
EC| VIDOCK
Project
VIDOCK
2D Conformal mapping of protein surfaces: applications to VIsualization and DOCKing software
  • Funder: European Commission (EC)
  • Project Code: 640283
  • Funding stream: H2020 | ERC | ERC-STG
Validated by funder
Any information missing or wrong?Report an Issue