Prediction of human intestinal absorption of drug compounds


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详细

Absorption in the small intestine is one of the key processes determining the drug bioavailability upon oral administration. Using fragmental descriptors and artificial neural networks, a predictive model for the relationship between the structure and human intestinal absorption of organic compounds was built and the structural factors affecting the ease of absorption were analyzed. This model is superior in the prediction accuracy and the applicability domain to other known models and can be used in the optimization of pharmacokinetic parameters during drug design.

作者简介

E. Radchenko

Department of Chemistry, M. V. Lomonosov Moscow State University; Institute of Physiologically Active Compounds, Russian Academy of Sciences

编辑信件的主要联系方式.
Email: genie@qsar.chem.msu.ru
俄罗斯联邦, 1/3 Leninskie Gory, Moscow, 119991; 1 Severnyi pr., Chernogolovka, Moscow Region, 142432

A. Dyabina

Department of Chemistry, M. V. Lomonosov Moscow State University

Email: genie@qsar.chem.msu.ru
俄罗斯联邦, 1/3 Leninskie Gory, Moscow, 119991

V. Palyulin

Department of Chemistry, M. V. Lomonosov Moscow State University; Institute of Physiologically Active Compounds, Russian Academy of Sciences

Email: genie@qsar.chem.msu.ru
俄罗斯联邦, 1/3 Leninskie Gory, Moscow, 119991; 1 Severnyi pr., Chernogolovka, Moscow Region, 142432

N. Zefirov

Department of Chemistry, M. V. Lomonosov Moscow State University; Institute of Physiologically Active Compounds, Russian Academy of Sciences

Email: genie@qsar.chem.msu.ru
俄罗斯联邦, 1/3 Leninskie Gory, Moscow, 119991; 1 Severnyi pr., Chernogolovka, Moscow Region, 142432


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