Scientific large language models: A survey on biological & chemical domains
Large Language Models (LLMs) have emerged as a transformative power in enhancing
natural language comprehension, representing a significant stride toward artificial general …
natural language comprehension, representing a significant stride toward artificial general …
A review of large language models and autonomous agents in chemistry
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …
impacting molecule design, property prediction, and synthesis optimization. This review …
Mol-instructions: A large-scale biomolecular instruction dataset for large language models
Biomedgpt: An open multimodal large language model for biomedicine
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 …
development of knowledgeable and versatile AI research assistants in various scientific …
Regression with large language models for materials and molecular property prediction
We demonstrate the ability of large language models (LLMs) to perform material and
molecular property regression tasks, a significant deviation from the conventional LLM use …
molecular property regression tasks, a significant deviation from the conventional LLM use …
Instructbiomol: Advancing biomolecule understanding and design following human instructions
Understanding and designing biomolecules, such as proteins and small molecules, is
central to advancing drug discovery, synthetic biology, and enzyme engineering. Recent …
central to advancing drug discovery, synthetic biology, and enzyme engineering. Recent …
Learning multi-view molecular representations with structured and unstructured knowledge
Capturing molecular knowledge with representation learning approaches holds significant
potential in vast scientific fields such as chemistry and life science. An effective and …
potential in vast scientific fields such as chemistry and life science. An effective and …
A quantitative analysis of knowledge-learning preferences in large language models in molecular science
Deep learning has significantly advanced molecular modelling and design, enabling an
efficient understanding and discovery of novel molecules. In particular, large language …
efficient understanding and discovery of novel molecules. In particular, large language …