SUMMARY: admetSAR was developed as a comprehensive source and free tool for the prediction of chemical ADMET properties. Since its first release in 2012 containing 27 predictive models, admetSAR has been widely used in chemical and pharmaceutical fields. This update, admetSAR 2.0, focuses on extension and optimization of existing models with significant quantity and quality improvement on training data. Now 47 models are available for either drug discovery or environmental risk assessment. In addition, we added a new module named ADMETopt for lead optimization based on predicted ADMET properties. AVAILABILITY AND IMPLEMENTATION: Free available on the web at http://lmmd.ecust.edu.cn/admetsar2/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
SUMMARY: admetSAR was developed as a comprehensive source and free tool for the prediction of chemical ADMET properties. Since its first release in 2012 containing 27 predictive models, admetSAR has been widely used in chemical and pharmaceutical fields. This update, admetSAR 2.0, focuses on extension and optimization of existing models with significant quantity and quality improvement on training data. Now 47 models are available for either drug discovery or environmental risk assessment. In addition, we added a new module named ADMETopt for lead optimization based on predicted ADMET properties. AVAILABILITY AND IMPLEMENTATION: Free available on the web at http://lmmd.ecust.edu.cn/admetsar2/. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
Authors: Ahmed M Naglah; Gaber O Moustafa; Ahmed A Elhenawy; Marwa M Mounier; Heba El-Sayed; Mohamed A Al-Omar; Abdulrahman A Almehizia; Mashooq A Bhat Journal: Drug Des Devel Ther Date: 2021-03-25 Impact factor: 4.162
Authors: Oihane Jaka; Iñaki Iturria; Marco van der Toorn; Jorge Hurtado de Mendoza; Diogo A R S Latino; Ainhoa Alzualde; Manuel C Peitsch; Julia Hoeng; Kyoko Koshibu Journal: Front Pharmacol Date: 2021-05-13 Impact factor: 5.810