Target discovery from protein databases: challenges for curation

Christine Chichester; Pascale Gaudet

doi:10.1016/j.ddtec.2015.01.003

Target discovery from protein databases: challenges for curation

Drug Discov Today Technol. 2015 Jul:14:11-6. doi: 10.1016/j.ddtec.2015.01.003. Epub 2015 May 30.

Authors

Christine Chichester¹, Pascale Gaudet²

Affiliations

¹ Swiss Institute of Bioinformatics, CALIPHO Group, CMU - Rue Michel-Servet 1, 1211 Geneva 4, Switzerland. Electronic address: chchichester@gmail.com.
² Swiss Institute of Bioinformatics, CALIPHO Group, CMU - Rue Michel-Servet 1, 1211 Geneva 4, Switzerland.

PMID: 26194582
DOI: 10.1016/j.ddtec.2015.01.003

Abstract

Protein databases are a gold mine of potential new drug targets. The ready access to a complete overview of all aspects of protein biology provides the most benefit at the outset of drug discovery pipelines. Ideally, curation strategies used to move from the raw data to the validated knowledge should contain the checks and balances necessary for accuracy. The neXtProt human protein knowledgebase is used here as an example to give insight into these methods.

Publication types

Research Support, Non-U.S. Gov't
Review

MeSH terms

Data Mining
Databases, Protein*
Drug Discovery*
Humans
Protein Conformation