Contraceptive and Infertility Target DataBase: a contraceptive drug development tool for targeting and analysis of human reproductive specific tissues

Subarna Sinha, Merrill Knapp, John Pywtorak, Greg McCain, Kenneth Wingerden, Colin VanDervoort, J. Mark Gondek, Peter Madrid, Toufan Parman, Stephen Gerrard, Jill E. Long, Diana L. Blithe, Stuart Moss, Min S. Lee*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

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.

Original languageEnglish
Pages (from-to)1366-1374
Number of pages9
JournalBiology of Reproduction
Volume105
Issue number6
DOIs
StatePublished - 1 Dec 2021

Keywords

  • Infertility
  • contraceptive
  • database
  • proteomics targets
  • transcriptomic targets

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