Your browser doesn't support javascript.
loading
Contraceptive and Infertility Target DataBase: a contraceptive drug development tool for targeting and analysis of human reproductive specific tissues†.
Sinha, Subarna; Knapp, Merrill; Pywtorak, John; McCain, Greg; Wingerden, Kenneth; VanDervoort, Colin; Gondek, J Mark; Madrid, Peter; Parman, Toufan; Gerrard, Stephen; Long, Jill E; Blithe, Diana L; Moss, Stuart; Lee, Min S.
Afiliação
  • Sinha S; SRI International, Menlo Park, CA, USA.
  • Knapp M; SRI International, Menlo Park, CA, USA.
  • Pywtorak J; SRI International, Menlo Park, CA, USA.
  • McCain G; SRI International, Menlo Park, CA, USA.
  • Wingerden K; SRI International, Menlo Park, CA, USA.
  • VanDervoort C; SRI International, Menlo Park, CA, USA.
  • Gondek JM; SRI International, Menlo Park, CA, USA.
  • Madrid P; SRI International, Menlo Park, CA, USA.
  • Parman T; SRI International, Menlo Park, CA, USA.
  • Gerrard S; Bill & Melinda Gates Foundation, Seattle, WA, USA.
  • Long JE; Contraceptive Development Program, Division of Intramural Population Health Research, Bethesda, MD, USA.
  • Blithe DL; Contraceptive Development Program, Division of Intramural Population Health Research, Bethesda, MD, USA.
  • Moss S; Fertility and Infertility Branch, Division of Extramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, MD, USA.
  • Lee MS; Contraceptive Development Program, Division of Intramural Population Health Research, Bethesda, MD, USA.
Biol Reprod ; 105(6): 1366-1374, 2021 12 20.
Article em En | MEDLINE | ID: mdl-34514504
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.
Assuntos
Palavras-chave

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reprodução / Anticoncepcionais / Bases de Dados como Assunto / Desenvolvimento de Medicamentos Limite: Humans Idioma: En Revista: Biol Reprod Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Reprodução / Anticoncepcionais / Bases de Dados como Assunto / Desenvolvimento de Medicamentos Limite: Humans Idioma: En Revista: Biol Reprod Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos