This review provides the feasible literature on drug discovery through ML tools and
techniques that are enforced in every phase of drug development to accelerate the research …

The discovery and advances of medicines may be considered as the ultimate relevant
translational science effort that adds to human invulnerability and happiness. But advancing …

A typical drug discovery project involves identifying active compounds with significant
binding potential for selected disease-specific targets. Experimental high-throughput …

Thanks to the fast improvement of the computing power and the rapid development of the
computational chemistry and biology, the computer-aided drug design techniques have …

Covering: 2000 to 2020 Machine learning (ML) is an efficient tool for the prediction of
bioactivity and the study of structure–activity relationships. Over the past decade, an …

The advancement of computing and technology has invaded all the dimensions of science.
Artificial intelligence (AI) is one core branch of Computer Science, which has percolated to …

Aging is associated with DNA accumulation and increased homeostatic proliferation of
circulating T cells. Although these attributes are associated with aging-related autoimmunity …

Androgen receptor (AR) is the primary target for treating prostate cancer (PCa), which
inevitably progresses due to drug-resistant mutations. Bromodomain-containing protein 4 …

This study was aimed to design the first dual-target small-molecule inhibitor co-targeting
poly (ADP-ribose) polymerase-1 (PARP1) and bromodomain containing protein 4 (BRD4) …

Epigenetic dysfunction has been widely implicated in several diseases especially cancers
thus highlights the therapeutic potential for chemical interventions in this field. With rapid …