Abstract Artificial Intelligence (AI) and Nanotechnology are two cutting-edge fields that hold
immense promise for revolutionizing various aspects of science, technology, and everyday …

Abstract The emergence of Artificial Intelligence (AI) in drug discovery marks a pivotal shift in
pharmaceutical research, blending sophisticated computational techniques with …

Abstract Artificial Intelligence (AI) and Machine Learning (ML) are transforming drug
discovery by overcoming traditional challenges like high costs, time-consuming, and …

Pyridine nucleotide-disulfide oxidoreductases are underexplored as drug targets, and
thioredoxin reductases (TrxRs) stand out as compelling pharmacological targets. Selective …

Multifactorial diseases demand therapeutics that can modulate multiple targets for enhanced
safety and efficacy, yet the clinical approval of multitarget drugs remains rare. The …

In Chemoinformatics, as in many other computational-related disciplines, it is a common
practice to identify the “single best” approach or methodology, for instance, identify the best …

Bipolar disorder (BD) is characterized by a complex constellation of emotional, cognitive,
and psychomotor disturbances, each deeply intertwined with underlying dysfunctions in …

In the current era of biological big data, which are rapidly populating the biological chemical
space, in silico polypharmacology drug design approaches help to decode structure …

Precision, or personalized, medicine aims to stratify patients based on variable pathogenic
signatures to optimize the effectiveness of disease prevention and treatment. This approach …

Perry disease (PeD) is a rare, neurodegenerative, genetic disorder inherited in an
autosomal dominant manner. The disease manifests as parkinsonism, with psychiatric …