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分子建模与化学信息学助力表观遗传靶点调节剂的开发:聚焦DNA甲基转移酶

Molecular Modeling and Chemoinformatics to Advance the Development of Modulators of Epigenetic Targets: A Focus on DNA Methyltransferases.

作者信息

Prieto-Martínez F D, Peña-Castillo A, Méndez-Lucio O, Fernández-de Gortari E, Medina-Franco J L

机构信息

Facultad de Química, Universidad Nacional Autónoma de México, México City, México.

Facultad de Química, Universidad Nacional Autónoma de México, México City, México.

出版信息

Adv Protein Chem Struct Biol. 2016;105:1-26. doi: 10.1016/bs.apcsb.2016.05.001. Epub 2016 Jun 14.

Abstract

In light of the emerging field of Epi-informatics, ie, computational methods applied to epigenetic research, molecular docking, and dynamics, pharmacophore and activity landscape modeling and QSAR play a key role in the development of modulators of DNA methyltransferases (DNMTs), one of the major epigenetic target families. The increased chemical information available for modulators of DNMTs has opened up the avenue to explore the epigenetic relevant chemical space (ERCS). Herein, we discuss recent progress on the identification and development of inhibitors of DNMTs as potential epi-drugs and epi-probes that have been driven by molecular modeling and chemoinformatics methods. We also survey advances on the elucidation of their structure-activity relationships and exploration of ERCS. Finally, it is illustrated how computational approaches can be applied to identify modulators of DNMTs in food chemicals.

摘要

鉴于表观信息学这一新兴领域,即应用于表观遗传研究、分子对接和动力学、药效团和活性景观建模以及定量构效关系的计算方法,在主要表观遗传靶点家族之一的DNA甲基转移酶(DNMTs)调节剂的开发中发挥着关键作用。可用于DNMTs调节剂的化学信息增加,为探索表观遗传相关化学空间(ERCS)开辟了道路。在此,我们讨论了在分子建模和化学信息学方法推动下,作为潜在表观药物和表观探针的DNMTs抑制剂的鉴定和开发方面的最新进展。我们还综述了阐明其构效关系和探索ERCS方面的进展。最后,说明了如何应用计算方法来鉴定食品化学品中的DNMTs调节剂。

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