| Literature DB >> 34514504 |
Subarna Sinha1, Merrill Knapp1, John Pywtorak1, Greg McCain1, Kenneth Wingerden1, Colin VanDervoort1, J Mark Gondek1, Peter Madrid1, Toufan Parman1, Stephen Gerrard2, Jill E Long3, Diana L Blithe3, Stuart Moss4, Min S Lee3.
Abstract
The long and challenging drug development process begins with discovery biology for the selection of an appropriate target for a specific indication. Target is a broad term that can be applied to a range of biological entities such as proteins, genes, and ribonucleic acids (RNAs). Although there are numerous databases available for mining biological entities, publicly available searchable, downloadable databases to aid in target selection for a specific disease or indication (e.g., developing contraceptives and infertility treatments) are limited. We report the development of the Contraceptive and Infertility Target DataBase (https://www.citdbase.org), which provides investigators an interface to mine existing transcriptomic and proteomic resources to identify high-quality contraceptive/infertility targets. The development of similar databases is applicable to the identification of targets for other diseases and conditions. Published by Oxford University Press on behalf of Society for the Study of Reproduction 2021.Entities:
Keywords: Infertility; contraceptive; database; proteomics targets; transcriptomic targets
Mesh:
Substances:
Year: 2021 PMID: 34514504 PMCID: PMC8831241 DOI: 10.1093/biolre/ioab172
Source DB: PubMed Journal: Biol Reprod ISSN: 0006-3363 Impact factor: 4.161