MIC: A deep learning tool for assigning ions and waters in cryo-EM and crystal structures.

Saved in:
Bibliographic Details
Title: MIC: A deep learning tool for assigning ions and waters in cryo-EM and crystal structures.
Authors: Shub L; Department of Pharmaceutical Chemistry; Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, USA.; Department of Bioengineering and Therapeutic Sciences; Bakar Health Sciences Institute; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, USA., Liu W; Department of Pharmaceutical Chemistry; Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, USA.; Department of Bioengineering and Therapeutic Sciences; Bakar Health Sciences Institute; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, USA., Skiniotis G; Department of Structural Biology, St. Jude Children's Research Hospital, Memphis, TN, USA.; Center of Excellence for Structural Cell Biology, St. Jude Children's Research Hospital, Memphis, TN, USA., Keiser MJ; Department of Pharmaceutical Chemistry; Institute for Neurodegenerative Diseases, University of California, San Francisco, San Francisco, CA, USA. keiser@keiserlab.org.; Department of Bioengineering and Therapeutic Sciences; Bakar Health Sciences Institute; Kavli Institute for Fundamental Neuroscience, University of California, San Francisco, San Francisco, USA. keiser@keiserlab.org., Robertson MJ; Verna and Marrs McLean Department of Biochemistry and Molecular Pharmacology, Baylor College of Medicine, Houston, TX, USA. Michael.Robertson@bcm.edu.
Source: Nature communications [Nat Commun] 2025 Jul 04; Vol. 16 (1), pp. 6182. Date of Electronic Publication: 2025 Jul 04.
Publication Type: Journal Article
Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: MEDLINE
Database: MEDLINE Ultimate
Full text is not displayed to guests.
Description
ISSN:2041-1723
DOI:10.1038/s41467-025-61315-x