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A perspective on multi-target drug discovery and design for complex diseases.
Ramsay, Rona R; Popovic-Nikolic, Marija R; Nikolic, Katarina; Uliassi, Elisa; Bolognesi, Maria Laura.
Afiliación
  • Ramsay RR; Biomedical Sciences Research Complex, University of St Andrews, North Haugh, St Andrews, KY16 9ST, UK. rrr@st-andrews.ac.uk.
  • Popovic-Nikolic MR; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000, Belgrade, Serbia.
  • Nikolic K; Department of Pharmaceutical Chemistry, Faculty of Pharmacy, University of Belgrade, Vojvode Stepe 450, 11000, Belgrade, Serbia.
  • Uliassi E; Department of Pharmacy and Biotechnology, Alma Mater Studiorum-Bologna University, Via Belmeloro 6, 40126, Bologna, Italy.
  • Bolognesi ML; Department of Pharmacy and Biotechnology, Alma Mater Studiorum-Bologna University, Via Belmeloro 6, 40126, Bologna, Italy.
Clin Transl Med ; 7(1): 3, 2018 Jan 17.
Article en En | MEDLINE | ID: mdl-29340951
Diseases of infection, of neurodegeneration (such as Alzheimer's and Parkinson's diseases), and of malignancy (cancers) have complex and varied causative factors. Modern drug discovery has the power to identify potential modulators for multiple targets from millions of compounds. Computational approaches allow the determination of the association of each compound with its target before chemical synthesis and biological testing is done. These approaches depend on the prior identification of clinically and biologically validated targets. This Perspective will focus on the molecular and computational approaches that underpin drug design by medicinal chemists to promote understanding and collaboration with clinical scientists.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Transl Med Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Clin Transl Med Año: 2018 Tipo del documento: Article Pais de publicación: Estados Unidos