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PASS: identification of probable targets and mechanisms of toxicity.
Poroikov, V; Filimonov, D; Lagunin, A; Gloriozova, T; Zakharov, A.
Afiliación
  • Poroikov V; Institute of Biomedical Chemistry of Russian Academy of Medical Sciences, Pogodinskaya Street 10, Moscow, 119121, Russia. vladimir.poroikov@ibmc.msk.ru
SAR QSAR Environ Res ; 18(1-2): 101-10, 2007.
Article en En | MEDLINE | ID: mdl-17365962
Toxicity of chemical compound is a complex phenomenon that may be caused by its interaction with different targets in the organism. Two distinct types of toxicity can be broadly specified: the first one is caused by the strong compound's interaction with a single target (e.g. AChE inhibition); while the second one is caused by the moderate compound's interaction with many various targets. Computer program PASS predicts about 2500 kinds of biological activities based on the structural formula of chemical compounds. Prediction is based on the robust analysis of structure-activity relationships for about 60,000 biologically active compounds. Mean accuracy exceeds 90% in leave-one-out cross-validation. In addition to some kinds of adverse effects and specific toxicity (e.g. carcinogenicity, mutagenicity, etc.), PASS predicts approximately 2000 kinds of biological activities at the molecular level, that providing an estimated profile of compound's action in biological space. Such profiles can be used to recognize the most probable targets, interaction with which might be a reason of compound's toxicity. Applications of PASS predictions for analysis of probable targets and mechanisms of toxicity are discussed.
Asunto(s)
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Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Preparaciones Farmacéuticas / Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Idioma: En Revista: SAR QSAR Environ Res Asunto de la revista: SAUDE AMBIENTAL Año: 2007 Tipo del documento: Article País de afiliación: Rusia
Buscar en Google
Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Simulación por Computador / Preparaciones Farmacéuticas / Efectos Colaterales y Reacciones Adversas Relacionados con Medicamentos Tipo de estudio: Diagnostic_studies / Evaluation_studies / Prognostic_studies Idioma: En Revista: SAR QSAR Environ Res Asunto de la revista: SAUDE AMBIENTAL Año: 2007 Tipo del documento: Article País de afiliación: Rusia
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