Artificial Intelligence is transforming drug discovery, particularly in the hit identification phase
of therapeutic compounds. One tool that has been instrumental in this transformation is …

This study presents a comprehensive investigation into Ni X Co 1-x Fe 2 O 4 (x= 0.5) spinel
nanoparticles synthesized through a one-pot hydrothermal method using Co (NO 3) 2. 6H 2 …

Antimicrobial resistance is recognised as one of the top threats healthcare is bound to face
in the future. There have been various attempts to preserve the efficacy of existing …

Scaling deep learning models has been at the heart of recent revolutions in language
modelling and image generation. Practitioners have observed a strong relationship between …

This paper delves into the polymorphism of 2-[3-(trifluoromethyl) anilino] benzoic acid,
commonly referred to as flufenamic acid (FA), a pharmaceutical agent employed in treating …

Background As antimicrobial resistance (AMR) has become a global health crisis, new
strategies against AMR infection are urgently needed. Quorum sensing (QS), responsible for …

Curcumin has demonstrated promising preclinical antiobesity effects, but its low
bioavailability makes it difficult to exert its full effect at a suitable dose. The objective of this …

Medicinal plants are enriched sources of drugs due to their chemically and functionally
diverse secondary metabolites. Conventional methods of screening these bioactive …

This study investigated the adsorption of Diazinon on α and β-Cyclodextrins (CDs) through
Molecular Dynamics Simulations. The entrance point variation in diazinon adsorption is …

Groenlandicine is a protoberberine alkaloid isolated from Coptidis Rhizoma, a widely used
traditional Chinese medicine known for its various biological activities. This study aims to …