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Prediction-driven matched molecular pairs to interpret QSARs and aid the molecular optimization process© 2014 Sushko et al.; licensee Springer. Background: QSAR is an established and powerful method

Multiple Conformer Descriptors for QSAR ModelingThe most widely used QSAR approaches are mainly based on 2D molecular representation which ignores

Prediction-driven matched molecular pairs to interpret QSARs and aid the molecular optimization process© 2014 Sushko et al.; licensee Springer. Background: QSAR is an established and powerful method

QSAR-МОДЕЛИРОВАНИЕ СВЯЗИ "СТРУКТУРА - АНТИОКИСЛИТЕЛЬНАЯ АКТИВНОСТЬ" В РЯДУ НЕКОТОРЫХ ПРОИЗВОДНЫХ БЕНЗОПИРАНА И БЕНЗОФУРАНАQSAR-МОДЕЛИРОВАНИЕ СВЯЗИ "СТРУКТУРА - АНТИОКИСЛИТЕЛЬНАЯ АКТИВНОСТЬ" В РЯДУ НЕКОТОРЫХ ПРОИЗВОДНЫХ

Interpretation of QSAR Models: Mining Structural Patterns Taking into Account Molecular Context
© 2018 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim The study focused on QSAR model interpretation

Public (Q)SAR Services, Integrated Modeling Environments, and Model Repositories on the Web: State of the Art and Perspectives for Future Development-Activity Relationships (Q)SAR models have been described in peer-reviewed publications; however, this way of sharing

QSAR models and scaffold-based analysis of non-nucleoside HIV RT inhibitors to develop a quantitative structure-activity relationship (QSAR) for anti-HIV RT activity. The calculated

GTM-Based QSAR Models and Their Applicability Domains be efficiently applied to QSAR modelling using probability distribution functions (PDF) computed in the latent 2

GTM-Based QSAR Models and Their Applicability Domains be efficiently applied to QSAR modelling using probability distribution functions (PDF) computed in the latent 2

Bioactive Xanthone C-glycoside Derivatives – QSAR Approach on the search for C-glycoside derivatives of mangiferin with higher bioavailability. The application of the QSAR

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