In recent years, drug repositioning has emerged as a promising alternative to the time-
consuming, expensive and risky process of develo** new drugs for diseases. However …

Background Drug discovery is a complex and expensive procedure involving several timely
and costly phases through which new potential pharmaceutical compounds must pass to get …

The emergence of neuromorphic computing, inspired by the structure and function of the
human brain, presents a transformative framework for modelling neurological disorders in …

Highlights•Protein language models (pLMs) have advanced ML-based drug-target
interaction (DTI) prediction in several aspects.•Pre-trained pLM-based DTI prediction models …

Identification of interactions between chemical compounds and proteins is crucial for various
applications, including drug discovery, target identification, network pharmacology, and …

Abstract N4-acetylcytidine (ac4C) is a crucial post-transcriptional modification in human
mRNA, involving the acetylation of the nitrogen atom at the fourth position of cytidine. This …

Enhancers are a class of noncoding DNA, serving as crucial regulatory elements in
governing gene expression by binding to transcription factors. The identification of …

Multiple cell death mechanisms are triggered during ischemic stroke and they are
interconnected in a complex network with extensive crosstalk, complicating the development …

Existing deep learning methods have shown outstanding performance in predicting drug–
target interactions. However, they still have limitations:(1) the over-reliance on locally …

MicroRNAs (miRNAs), vital regulators of gene expression and human health, are intimately
associated with diseases upon dysregulation. Small molecules have emerged as promising …