Literature DB >> 30637953

ChemSuite: A package for chemoinformatics calculations and machine learning.

Sujit R Tangadpalliwar1, Sachin Vishwakarma1, Rakesh Nimbalkar1, Prabha Garg1.   

Abstract

Prediction of biological and toxicological properties of small molecules using in silico approaches has become a wide practice in pharmaceutical research to lessen the cost and enhance productivity. The development of a tool "ChemSuite," a stand-alone application for chemoinformatics calculations and machine-learning model development, is reported. Availability of multi-functional features makes it widely acceptable in various fields. Force field such as UFF is incorporated in tool for optimization of molecules. Packages like RDKit, PyDPI and PaDEL help to calculate 1D, 2D and 3D descriptors and more than 10 types of fingerprints. MinMax Scaler and Z-Score algorithms are available to normalize descriptor values. Varied descriptor selection and machine-learning algorithms are available for model development. It allows the user to add their own algorithm or extend the software for various scientific purposes. It is free, open source and has user-friendly graphical interface, and it can work on all major platforms.
© 2019 John Wiley & Sons A/S.

Keywords:  chemoinformatics; descriptors; machine learning; model development; python

Mesh:

Year:  2019        PMID: 30637953     DOI: 10.1111/cbdd.13479

Source DB:  PubMed          Journal:  Chem Biol Drug Des        ISSN: 1747-0277            Impact factor:   2.817


  3 in total

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Authors:  Francesca Grisoni; Gisbert Schneider
Journal:  Methods Mol Biol       Date:  2021

Review 2.  Artificial intelligence and machine-learning approaches in structure and ligand-based discovery of drugs affecting central nervous system.

Authors:  Vertika Gautam; Anand Gaurav; Neeraj Masand; Vannajan Sanghiran Lee; Vaishali M Patil
Journal:  Mol Divers       Date:  2022-07-11       Impact factor: 3.364

3.  Direct Prediction of the Toxic Gas Diffusion Rule in a Real Environment Based on LSTM.

Authors:  Fei Qian; Li Chen; Jun Li; Chao Ding; Xianfu Chen; Jian Wang
Journal:  Int J Environ Res Public Health       Date:  2019-06-17       Impact factor: 3.390

  3 in total

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