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Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering
April 25, 2024, 7:43 p.m. | Shujian Jiao, Bingxuan Li, Lei Wang, Xiaojin Zhang, Wei Chen, Jiajie Peng, Zhongyu Wei
cs.LG updates on arXiv.org arxiv.org
Abstract: Proteins are essential to life's processes, underpinning evolution and diversity. Advances in sequencing technology have revealed millions of proteins, underscoring the need for sophisticated pre-trained protein models for biological analysis and AI development. Facebook's ESM2, the most advanced protein language model to date, leverages a masked prediction task for unsupervised learning, crafting amino acid representations with notable biochemical accuracy. Yet, it lacks in delivering functional protein insights, signaling an opportunity for enhancing representation quality.Our study …
abstract advanced advances ai development analysis arxiv beyond clustering cs.lg development diversity evolution facebook graph language language model life modeling processes protein proteins q-bio.bm sequencing technology type
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