Your browser doesn't support javascript.
loading
Web-based cheminformatics and molecular property prediction tools supporting drug design and development at Novartis.
Ertl, P; Mühlbacher, J; Rohde, B; Selzer, P.
Afiliação
  • Ertl P; Novartis Institute for Biomedical Research, WKL-125.14.20, CH-4002 Basel, Switzerland. peter.ertl@pharma.novartis.com
SAR QSAR Environ Res ; 14(5-6): 321-8, 2003.
Article em En | MEDLINE | ID: mdl-14758976
ABSTRACT
Web-based tools offer many advantages for processing chemical information, most notably ease of use and high interactivity. Therefore more and more pharmaceutical companies are using web technology to deliver sophisticated molecular processing tools directly to the desks of their chemists, to assist them in the process of designing and developing new drugs. In this paper, the web-based cheminformatics system developed at Novartis and currently used by more than thousand users is described. The system allows various molecular modeling and molecular processing tasks, including the calculation of molecular and substituent properties, property-based virtual screening, visualization of molecules, bioisosteric design, diversity analysis, and support of combinatorial chemistry. The methodology to calculate various molecular properties relevant to drug design is described, including the prediction of intestinal absorption, blood-brain barrier penetration, efflux, and water solubility. Information about the web technology used is also provided.
Assuntos
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Informática Médica / Desenho de Fármacos / Modelos Moleculares / Internet / Indústria Farmacêutica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: SAR QSAR Environ Res Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2003 Tipo de documento: Article País de afiliação: Suíça
Buscar no Google
Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Informática Médica / Desenho de Fármacos / Modelos Moleculares / Internet / Indústria Farmacêutica Tipo de estudo: Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: SAR QSAR Environ Res Assunto da revista: SAUDE AMBIENTAL Ano de publicação: 2003 Tipo de documento: Article País de afiliação: Suíça