Small data are often used in scientific and engineering research due to the presence of
various constraints, such as time, cost, ethics, privacy, security, and technical limitations in …

Artificial intelligence (AI) has the potential to revolutionize the drug discovery process,
offering improved efficiency, accuracy, and speed. However, the successful application of AI …

AlphaFold has burst into our lives. A powerful algorithm that underscores the strength of
biological sequence data and artificial intelligence (AI). AlphaFold has appended projects …

Recent research on artificial intelligence indicates that machine learning algorithms can
auto-generate novel drug-like molecules. Generative models have revolutionized de novo …

Decades of nanotoxicology research have generated extensive and diverse data sets.
However, data is not equal to information. The question is how to extract critical information …

Spider webs are incredible biological structures, comprising thin but strong silk filament and
arranged into complex hierarchical architectures with striking mechanical properties (eg …

Artificial intelligence (AI) is a field of computer science that involves acquiring information,
develo** rule bases, and mimicking human behaviour. The fundamental concept behind …

The recently reported machine learning-or deep learning-based scoring functions (SFs)
have shown exciting performance in predicting protein–ligand binding affinities with fruitful …

Virtual screening has emerged as a valuable computational tool for predicting compound–
protein interactions, offering a cost-effective and rapid approach to identifying potential …

By harnessing artificial intelligence (AI) algorithms and machine learning techniques, the
entire drug discovery process stands to undergo a profound transformation, offering a …