Abstract As the Big Data and Artificial Intelligence (AI) revolution continues to affect every
area of our lives, it's influence is also exerted in the areas of bioinformatics, computational …

The work is composed of python based programmatic tool that automates the dry lab drug
discovery workflow for coronavirus. Firstly, the python program is written to automate the …

The work is composed of python based programmatic tool that automates the workflow of
drug discovery for coronavirus. Firstly, the python program is written to automate the process …

The identification of interactions between drugs/compounds and their targets is crucial for
the development of new drugs. In vitro screening experiments (ie bioassays) are frequently …

Computational approaches have been greatly appreciated as an important pillar of drug
discovery and development. This special issue compiles a series of review articles that, in …

Drug-like compounds are most of the time denied approval and use owing to the
unexpected clinical side effects and cross-reactivity observed during clinical trials. These …

Drug-target interactions (DTIs) are an important part of the drug development process. When
the drug (a chemical molecule) binds to a target (proteins or nucleic acids), it modulates the …

Drug-target interactions (DTIs) are an important part of the drug development process. When
the drug (a chemical molecule) binds to a target (proteins or nucleic acids), it modulates the …

This systematic review, which was carried out between 2018 and 2022 in accordance with
PRISMA principles, assesses how machine learning (ML) and other computational …

The drug discovery process has been a crucial and cost-intensive process. This cost is not
only monetary but also involves risks, time, and labour that are incurred while introducing a …