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

Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …

Advances in artificial intelligence (AI) are fueling a new paradigm of discoveries in natural
sciences. Today, AI has started to advance natural sciences by improving, accelerating, and …

Recent advancements in biological research leverage the integration of molecules, proteins,
and natural language to enhance drug discovery. However, current models exhibit several …

Foundation models (FMs) have exhibited remarkable performance across a wide range of
downstream tasks in many domains. Nevertheless, general-purpose FMs often face …

Recent research trends in computational biology have increasingly focused on integrating
text and bio-entity modeling, especially in the context of molecules and proteins. However …

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

Language-molecule models have emerged as an exciting direction for molecular discovery
and understanding. However, training these models is challenging due to the scarcity of …

Two-dimensional metal–organic frameworks (2D MOFs) as an ideal prototype material for
the electrocatalytic oxygen evolution reaction (OER) can expose more metal active sites due …

Cell identity encompasses various semantic aspects of a cell, including cell type, pathway
information, disease information, and more, which are essential for biologists to gain insights …