Antimicrobial peptides (AMPs) emerge as promising agents against antimicrobial resistance,
providing an alternative to conventional antibiotics. Artificial intelligence (AI) revolutionized …

Computer-aided discovery of vaccine targets has become a cornerstone of rational vaccine
design. In this article, I discuss how Machine Learning (ML) can inform and guide key …

Recent advances in language models have enabled the protein modeling community with a
powerful tool that uses transformers to represent protein sequences as text. This …

Due to the spread of antibiotic resistance, global attention is focused on its inhibition and the
expansion of effective medicinal compounds. The novel functional properties of peptides …

Peptides are crucial in biological processes and therapeutic applications. Given their
importance, advancing our ability to predict peptide properties is essential. In this study, we …

Peptides can bind challenging disease targets with high affinity and specificity, offering
enormous opportunities for addressing unmet medical needs. However, peptides' unique …

Advancements in computational techniques have transformed glaucoma research, providing
a deeper understanding of genetics, disease mechanisms, and potential therapeutic targets …

Pre-trained models have been transformative in natural language, computer vision, and now
protein sequences by enabling accuracy with few training examples. We show how to use …

Deep learning can create accurate predictive models by exploiting existing large-scale
experimental data, and guide the design of molecules. However, a major barrier is the …

In recent years, the use of Cloud infrastructures for data processing has proven useful, with a
computing potential that is not affected by the limitations of a local infrastructure. In this …