Literature DB >> 31450065

4D-QSAR and MIA-QSAR study on the Bruton's tyrosine kinase (Btk) inhibitors.

Wenzhi Ma1, Yanyu Wang1, Dongchen Chu1, Hong Yan2.   

Abstract

In this paper, 4D-QSAR analysis base on LQTA-QSAR method and MIA-QSAR analysis were presented. And a combination model of 4D-QSAR model and MIA-QSAR model with better predictive performance was built. The 4D-QSAR descriptors were obtained by calculating the interaction energies between the probes and aligned conformational ensemble profiles (CEP) resulting from molecular dynamics simulation. The MIA descriptors were generated from aligned images of chemical structure. Those descriptors were filtered and employed in partial least squares (PLS) regression. The combination model was built by the merging the descriptors generated by the two methods of 4D-QSAR and MIA-QSAR analysis. Those models were built using programs written by authors, and anyone can download those programs at https://github.com/masgils.
Copyright © 2019 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  4D-QSAR; Btk inhibitors; Combination model; Design and model programs

Mesh:

Substances:

Year:  2019        PMID: 31450065     DOI: 10.1016/j.jmgm.2019.08.009

Source DB:  PubMed          Journal:  J Mol Graph Model        ISSN: 1093-3263            Impact factor:   2.518


  3 in total

1.  Functionalized Graphene Oxide with Chitosan for Dopamine Biosensing.

Authors:  Amina Omar; Ahmed M Bayoumy; Ahmed A Aly
Journal:  J Funct Biomater       Date:  2022-04-27

2.  Molecular modeling analyses for graphene functionalized with Fe3O4 and NiO.

Authors:  Amal H Al-Bagawi; Ahmed M Bayoumy; Medhat A Ibrahim
Journal:  Heliyon       Date:  2020-07-17

Review 3.  Two Decades of 4D-QSAR: A Dying Art or Staging a Comeback?

Authors:  Andrzej Bak
Journal:  Int J Mol Sci       Date:  2021-05-14       Impact factor: 5.923

  3 in total

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