TY  - CHAP
CY  - Switzerland
N1  - Copyright of this article belongs to Springer Nature.
ID  - open2519
UR  - http://crdd.osdd.net/open/2519/
A1  - Loharch, Saurabh
A1  - Karmahapatra, Vikrant
A1  - Gupta, Pawan
A1  - Madathil, Rethi
A1  - Parkesh, Raman
Y1  - 2019/01/11/
N2  - Epigenetics has become an important field of research in drug discovery. Epigenetic mechanisms are dynamic in nature and play a fundamental role in cellular processes. Dysregulation of epigenetic events, including cross-talk between DNA methylation and histone modifications, not only affects gene expression but also causes pathophysiological effects leading to cancer, aging, cardiovascular, neurological, and metabolic disorders. Epigenetic targets have captured the attention of researchers from diverse backgrounds to identify potential drugs for various diseases. However, drug development is a complex, time-consuming process and challenged by the high attrition rate. As with many chemotherapeutics, it is pertinent to avoid possible risk factors in epigenetic drug discovery. In this context, computational approaches can rationally guide the search for active compounds by utilizing the accumulated epigenetics knowledge base. In this chapter, we have described the chemoinformatic strategies that can be applied to facilitate the early-stage lead discovery in epigenetics, based on current best practices.
PB  - Springer Nature
KW  - Chemoinformatics; Epigenetics; Drug discovery; Screening library Scaffolds Chemical space 
ED  - Mohan, C.
M1  - 27
TI  - Integrated Chemoinformatics Approaches Toward Epigenetic Drug Discovery.
SP  - 247
EP  - 269
T2  - Structural Bioinformatics: Applications in Preclinical Drug Discovery Process
ER  -