all AI news
MolBind: Multimodal Alignment of Language, Molecules, and Proteins
March 14, 2024, 4:41 a.m. | Teng Xiao, Chao Cui, Huaisheng Zhu, Vasant G. Honavar
cs.LG updates on arXiv.org arxiv.org
Abstract: Recent advancements in biology and chemistry have leveraged multi-modal learning, integrating molecules and their natural language descriptions to enhance drug discovery. However, current pre-training frameworks are limited to two modalities, and designing a unified network to process different modalities (e.g., natural language, 2D molecular graphs, 3D molecular conformations, and 3D proteins) remains challenging due to inherent gaps among them. In this work, we propose MolBind, a framework that trains encoders for multiple modalities through contrastive …
abstract alignment arxiv biology chemistry cs.cl cs.lg current designing discovery drug discovery frameworks graphs however language modal molecules multi-modal multimodal natural natural language network pre-training process proteins q-bio.qm training type
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Software Engineer for AI Training Data (School Specific)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Python)
@ G2i Inc | Remote
Software Engineer for AI Training Data (Tier 2)
@ G2i Inc | Remote
Data Engineer
@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania
Artificial Intelligence – Bioinformatic Expert
@ University of Texas Medical Branch | Galveston, TX
Lead Developer (AI)
@ Cere Network | San Francisco, US