Literature DB >> 23822589

Descriptor selection methods in quantitative structure-activity relationship studies: a review study.

Mohsen Shahlaei1.   

Abstract

Mesh：

Year:  2013        PMID： 23822589     DOI： 10.1021/cr3004339

Source DB:  PubMed          Journal:  Chem Rev        ISSN： 0009-2665            Impact factor:   60.622


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  28 in total

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3.  Interrogating selectivity in catalysis using molecular vibrations.

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4.  Erratum to: Does being an Olympic city help improve recreational resources? Examining the quality of physical activity resources in a low-income neighborhood of Rio de Janeiro.

Authors:  Fabiana R de Sousa-Mast; Arianne C Reis; Marcelo C Vieira; Sandro Sperandei; Luilma A Gurgel; Uwe Pühse
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5.  Drug design by machine-trained elastic networks: predicting Ser/Thr-protein kinase inhibitors' activities.

Authors:  Cyrus Ahmadi Toussi; Javad Haddadnia; Chérif F Matta
Journal:  Mol Divers       Date:  2020-03-28       Impact factor: 2.943

6.  Influence of feature rankers in the construction of molecular activity prediction models.

Authors:  Gonzalo Cerruela-García; José Pérez-Parra Toledano; Aída de Haro-García; Nicolás García-Pedrajas
Journal:  J Comput Aided Mol Des       Date:  2019-12-31       Impact factor: 3.686

7.  Autocorrelation descriptor improvements for QSAR: 2DA_Sign and 3DA_Sign.

Authors:  Gregory Sliwoski; Jeffrey Mendenhall; Jens Meiler
Journal:  J Comput Aided Mol Des       Date:  2015-12-31       Impact factor: 3.686

8.  Modeling biophysical and biological properties from the characteristics of the molecular electron density, electron localization and delocalization matrices, and the electrostatic potential.

Authors:  Chérif F Matta
Journal:  J Comput Chem       Date:  2014-04-29       Impact factor: 3.376

9.  Nucleophilic Aromatic Substitution of Unactivated Fluoroarenes Enabled by Organic Photoredox Catalysis.

Authors:  Vincent A Pistritto; Megan E Schutzbach-Horton; David A Nicewicz
Journal:  J Am Chem Soc       Date:  2020-09-28       Impact factor: 15.419

10.  Machine learning models for predicting the activity of AChE and BACE1 dual inhibitors for the treatment of Alzheimer's disease.

Authors:  G Dhamodharan; C Gopi Mohan
Journal:  Mol Divers       Date:  2021-07-29       Impact factor: 2.943
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