Literature DB >> 33010481

Recent progress on cheminformatics approaches to epigenetic drug discovery.

Zoe Sessions1, Norberto Sánchez-Cruz2, Fernando D Prieto-Martínez2, Vinicius M Alves1, Hudson P Santos3, Eugene Muratov1, Alexander Tropsha4, José L Medina-Franco5.   

Abstract

The ability of epigenetic markers to affect genome function has enabled transformative changes in drug discovery, especially in cancer and other emerging therapeutic areas. Concordant with the introduction of the term 'epi-informatics', the size of the epigenetically relevant chemical space has grown substantially and so did the number of applications of cheminformatic methods to epigenetics. Recent progress in epi-informatics has improved our understanding of the structure-epigenetic activity relationships and boosted the development of models predicting novel epigenetic agents. Herein, we review the advances in computational approaches to drug discovery of small molecules with epigenetic modulation profiles, summarize the current chemogenomics data available for epigenetic targets, and provide a perspective on the greater utility of biomedical knowledge mining as a means to advance the epigenetic drug discovery.
Copyright © 2020 Elsevier Ltd. All rights reserved.

Entities:  

Year:  2020        PMID: 33010481      PMCID: PMC7917005          DOI: 10.1016/j.drudis.2020.09.021

Source DB:  PubMed          Journal:  Drug Discov Today        ISSN: 1359-6446            Impact factor:   7.851


  70 in total

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Journal:  Methods Mol Biol       Date:  2019

Review 5.  Alchemical free energy methods for drug discovery: progress and challenges.

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Journal:  Drug Discov Today       Date:  2017-10-10       Impact factor: 7.851

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8.  QSAR-Driven Design and Discovery of Novel Compounds With Antiplasmodial and Transmission Blocking Activities.

Authors:  Marilia N N Lima; Cleber C Melo-Filho; Gustavo C Cassiano; Bruno J Neves; Vinicius M Alves; Rodolpho C Braga; Pedro V L Cravo; Eugene N Muratov; Juliana Calit; Daniel Y Bargieri; Fabio T M Costa; Carolina H Andrade
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9.  QSAR-driven rational design of novel DNA methyltransferase 1 inhibitors.

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Authors:  José L Medina-Franco; Edgar López-López; Liliam P Martínez-Fernández
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3.  Expanding the Structural Diversity of DNA Methyltransferase Inhibitors.

Authors:  K Eurídice Juárez-Mercado; Fernando D Prieto-Martínez; Norberto Sánchez-Cruz; Andrea Peña-Castillo; Diego Prada-Gracia; José L Medina-Franco
Journal:  Pharmaceuticals (Basel)       Date:  2020-12-27

4.  Identification of hepatoprotective traditional Chinese medicines based on the structure-activity relationship, molecular network, and machine learning techniques.

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  5 in total

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