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QSAR models and scaffold-based analysis of non-nucleoside HIV RT inhibitors

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QSAR models and scaffold-based analysis of non-nucleoside HIV RT inhibitors (English)

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Bilal Nizami

1

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Igor V. Tetko

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Igor V. Tetko

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2

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Bahareh Honarparvar

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Bahareh Honarparvar

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4

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Neil A. Koorbanally

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3

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publication date

November 2015

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published in

Chemometrics and Intelligent Laboratory Systems

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volume

148

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page(s)

134-144

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cites work

Prediction-driven matched molecular pairs to interpret QSARs and aid the molecular optimization process

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https://opencitations.net/index/coci/api/v1/citations/10.1186/S13321-014-0048-0

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2 January 2022

Online chemical modeling environment (OCHEM): web platform for data storage, model development and publishing of chemical information

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4 April 2022

https://opencitations.net/index/coci/api/v1/citations/10.1007/S10822-011-9440-2

Chemical predictive modelling to improve compound quality

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5 April 2022

https://opencitations.net/index/coci/api/v1/citations/10.1038/NRD4128

Applicability Domains for Classification Problems: Benchmarking of Distance to Models for Ames Mutagenicity Set

1 reference

13 June 2022

https://opencitations.net/index/coci/api/v1/citations/10.1021/CI100253R

Modeling the Biodegradability of Chemical Compounds Using the Online CHEmical Modeling Environment (OCHEM)

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COCI

reference URL

https://opencitations.net/index/coci/api/v1/citations/10.1002/MINF.201300030

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8 April 2023

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10.1016/J.CHEMOLAB.2015.09.011

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(Q56916294)

QSAR models and scaffold-based analysis of non-nucleoside HIV RT inhibitors

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