Your browser doesn't support javascript.
loading
Identification of a Hit Series of Antileishmanial Compounds through the Use of Mixture-Based Libraries.
Giulianotti, Marc A; Vesely, Brian A; Azhari, Ala; Souza, Ashley; LaVoi, Travis; Houghten, Richard A; Kyle, Dennis E; Leahy, James W.
  • Giulianotti MA; Department of Chemistry, University of South Florida, CHE 205, 4202 East Fowler Avenue, Tampa, Florida 33620, United States.
  • Vesely BA; Torrey Pines Institute for Molecular Studies, 11350 SW Village Parkway, Port St. Lucie, Florida 34987, United States.
  • Azhari A; Department of Global Health, College of Public Health, University of South Florida, 3720 Spectrum Boulevard, Suite 304, Tampa, Florida 33612, United States.
  • Souza A; Department of Global Health, College of Public Health, University of South Florida, 3720 Spectrum Boulevard, Suite 304, Tampa, Florida 33612, United States.
  • LaVoi T; Department of Global Health, College of Public Health, University of South Florida, 3720 Spectrum Boulevard, Suite 304, Tampa, Florida 33612, United States.
  • Houghten RA; Torrey Pines Institute for Molecular Studies, 11350 SW Village Parkway, Port St. Lucie, Florida 34987, United States.
  • Kyle DE; Torrey Pines Institute for Molecular Studies, 11350 SW Village Parkway, Port St. Lucie, Florida 34987, United States.
  • Leahy JW; Department of Global Health, College of Public Health, University of South Florida, 3720 Spectrum Boulevard, Suite 304, Tampa, Florida 33612, United States.
ACS Med Chem Lett ; 8(8): 802-807, 2017 Aug 10.
Article en En | MEDLINE | ID: mdl-28835792
ABSTRACT
From a screening campaign that included mixture-based libraries containing more than 6 million compounds, a lead series of bis-cyclic guanidines was identified as the most promising. Lead optimization resulted in the identification of potent (IC50 < 500 nM) and selective compounds within this series as well as potent and selective monoguanidines.
Palabras clave

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2017 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Tipo de estudio: Diagnostic_studies Idioma: En Año: 2017 Tipo del documento: Article