all AI news
AlphaFold Distillation for Improved Inverse Protein Folding. (arXiv:2210.03488v1 [q-bio.BM])
Oct. 10, 2022, 1:12 a.m. | Igor Melnyk, Aurelie Lozano, Payel Das, Vijil Chenthamarakshan
cs.LG updates on arXiv.org arxiv.org
Inverse protein folding, i.e., designing sequences that fold into a given
three-dimensional structure, is one of the fundamental design challenges in
bio-engineering and drug discovery. Traditionally, inverse folding mainly
involves learning from sequences that have an experimentally resolved
structure. However, the known structures cover only a tiny space of the protein
sequences, imposing limitations on the model learning. Recently proposed
forward folding models, e.g., AlphaFold, offer unprecedented opportunity for
accurate estimation of the structure given a protein sequence. Naturally,
incorporating …
More from arxiv.org / cs.LG updates on arXiv.org
Jobs in AI, ML, Big Data
Founding AI Engineer, Agents
@ Occam AI | New York
AI Engineer Intern, Agents
@ Occam AI | US
AI Research Scientist
@ Vara | Berlin, Germany and Remote
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne