Multiple Machine Learning Based-Chemoinformatics Models for Identification of Histone Acetyl Transferase Inhibitors-Reference-Cited by-同舟云学术

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Multiple Machine Learning Based-Chemoinformatics Models for Identification of Histone Acetyl Transferase Inhibitors

Published:2018-04-23 Issue:8 Volume:37 Page:1700150
ISSN:1868-1743
Container-title:Molecular Informatics
language:en
Short-container-title:Mol. Inf.

Author:

Krishna Shagun¹,Kumar Sushil¹,Singh Deependra Kumar¹,Lakra Amar Deep²,Banerjee Dibyendu¹,Siddiqi Mohammad Imran¹^ORCID

Affiliation:

1. Molecular & Structural Biology Division; CSIR-Central Drug Research Institute; Lucknow India 260031

2. Endocrinology Division; CSIR-Central Drug Research Institute; Lucknow India 260031

Funder

CSIR network projects GENESIS

UNDO

Publisher

Wiley

Subject

Organic Chemistry,Computer Science Applications,Drug Discovery,Molecular Medicine,Structural Biology

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/minf.201700150/fullpdf

Reference52 articles.

1. Chromatin Modifications and Their Function

2. Histone Acetylation and Gastrointestinal Carcinogenesis

3. Chromatin remodeling and cancer, part I: covalent histone modifications

4. Covalent histone modifications — miswritten, misinterpreted and mis-erased in human cancers

5. Molecular cloning and functional analysis of the adenovirus E1A-associated 300-kD protein (p300) reveals a protein with properties of a transcriptional adaptor.

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