Identification of potential histone deacetylase1 (HDAC1) inhibitors using multistep virtual screening approach including SVM model, pharmacophore modeling, molecular docking and biological evaluation-Reference-Cited by-同舟云学术

Identification of potential histone deacetylase1 (HDAC1) inhibitors using multistep virtual screening approach including SVM model, pharmacophore modeling, molecular docking and biological evaluation

Published:2019-09-09 Issue:11 Volume:38 Page:3280-3295
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Krishna Shagun¹,Lakra Amar Deep²,Shukla Nidhi²,Khan Saman¹,Mishra Durga Prasad²,Ahmed Shakil¹,Siddiqi Mohammad Imran¹

Affiliation:

1. Molecular & Structural Biology Division, CSIR-Central Drug Research Institute, Lucknow, India;

2. Endocrinology Division, CSIR-Central Drug Research Institute, Lucknow, India

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2019.1654925

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3. Discovery and preliminary evaluation of 2-aminobenzamide and hydroxamate derivatives containing 1,2,4-oxadiazole moiety as potent histone deacetylase inhibitors

4. Multiple machine learning based descriptive and predictive workflow for the identification of potential PTP1B inhibitors

5. LIBSVM

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