There has been significant recent progress in leveraging large-scale gene expression data
to develop foundation models for single-cell biology. Models such as Geneformer and …

Large language models (LLMs) have demonstrated abilities to perform complex tasks in
multiple domains, including mathematical and scientific reasoning. We demonstrate that with …

The integration of biomolecular modeling with natural language (BL) has emerged as a
promising interdisciplinary area at the intersection of artificial intelligence, chemistry and …

Detecting protein-protein interactions (PPIs) is crucial for understanding genetic
mechanisms, disease pathogenesis, and drug design. However, with the fast-paced growth …

The integration of Large Language Models (LLMs) into the drug discovery and development
field marks a significant paradigm shift, offering novel methodologies for understanding …

The integration of artificial intelligence into scientific research opens new avenues with the
advent of GPT-4V, a large language model equipped with vision capabilities. In this study …

Advanced artificial intelligence (AI) systems with access to millions of research papers could
inspire new research ideas that may not be conceived by humans alone. However, how …

Large Language Models (LLMs) have garnered considerable interest due to their
impressive natural language capabilities, which in conjunction with various emergent …

Recent advances in large language models (LLMs) like ChatGPT have shed light on the
development of knowledgeable and versatile AI research assistants in various scientific …

Molecular discovery, when formulated as an optimization problem, presents significant
computational challenges because optimization objectives can be non-differentiable …