June 11, 2024, 4:47 a.m. | Bo Chen, Zhilei Bei, Xingyi Cheng, Pan Li, Jie Tang, Le Song

cs.LG updates on arXiv.org arxiv.org

arXiv:2406.05347v1 Announce Type: cross
Abstract: Multiple Sequence Alignment (MSA) plays a pivotal role in unveiling the evolutionary trajectories of protein families. The accuracy of protein structure predictions is often compromised for protein sequences that lack sufficient homologous information to construct high quality MSA. Although various methods have been proposed to generate virtual MSA under these conditions, they fall short in comprehensively capturing the intricate coevolutionary patterns within MSA or require guidance from external oracle models. Here we introduce MSAGPT, a …

abstract accuracy alignment arxiv construct cs.ai cs.lg families generative information multiple pivotal prediction predictions pre-training prompting protein protein structure protein structure prediction q-bio.bm quality role training type via

Senior Machine Learning Engineer

@ GPTZero | Toronto, Canada

ML/AI Engineer / NLP Expert - Custom LLM Development (x/f/m)

@ HelloBetter | Remote

Senior Research Engineer/Specialist - Motor Mechanical Design

@ GKN Aerospace | Bristol, GB

Research Engineer (Motor Mechanical Design)

@ GKN Aerospace | Bristol, GB

Senior Research Engineer (Electromagnetic Design)

@ GKN Aerospace | Bristol, GB

Associate Research Engineer Clubs | Titleist

@ Acushnet Company | Carlsbad, CA, United States