Recently, using artificial intelligence (AI) in drug discovery has received much attention
since it significantly shortens the time and cost of develo** new drugs. Deep learning (DL) …

The COVID-19 pandemic has emphasized the need for novel drug discovery process.
However, the journey from conceptualizing a drug to its eventual implementation in clinical …

We present a comprehensive analysis of all ring systems (both heterocyclic and
nonheterocyclic) in clinical trial compounds and FDA-approved drugs. We show 67% of …

Starches, a storage form of carbohydrates, are a major source of calories in the human diet
and a primary feedstock for bioindustry. We report a chemical-biochemical hybrid pathway …

Natural products have played a critical role in medicine due to their ability to bind and
modulate cellular targets involved in disease. Medicinal plants hold a variety of bioactive …

In the past, conventional drug discovery strategies have been successfully employed to
develop new drugs, but the process from lead identification to clinical trials takes more than …

Large-language models (LLMs) such as GPT-4 caught the interest of many scientists.
Recent studies suggested that these models could be useful in chemistry and materials …

Pseudomonas aeruginosa is a dominant pathogen in people with cystic fibrosis (CF)
contributing to morbidity and mortality. Its tremendous ability to adapt greatly facilitates its …

Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …

Prediction of enzyme kinetic parameters is essential for designing and optimizing enzymes
for various biotechnological and industrial applications, but the limited performance of …