DrugLLM: Open Large Language Model for Few-shot Molecule Generation

arXiv:2405.06690v1 Announce Type: cross
Abstract: Large Language Models (LLMs) have made great strides in areas such as language processing and computer vision. Despite the emergence of diverse techniques to improve few-shot learning capacity, current LLMs fall short in handling the languages in biology and chemistry. For example, they are struggling to capture the relationship between molecule structure and pharmacochemical properties. Consequently, the few-shot learning capacity of small-molecule drug modification remains impeded. In this work, we introduced DrugLLM, a LLM tailored …

abstract arxiv biology capacity chemistry computer computer vision cs.cl cs.lg current diverse emergence example few-shot few-shot learning language language model language models language processing languages large language large language model large language models llms processing q-bio.bm type vision