Editorial overview: Artificial intelligence methodologies in structural biology.

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Bibliographic Details
Title: Editorial overview: Artificial intelligence methodologies in structural biology.
Authors: Seok C; Department of Chemistry, Seoul National University, Seoul, South Korea; Galux, Seoul, South Korea., Tiwary P; Department of Chemistry and Biochemistry and Institute for Physical Science and Technology, University of Maryland, College Park, MD 20742, United States; University of Maryland Institute for Health Computing, Bethesda, Maryland 20852, United States. Electronic address: ptiwary@umd.edu.
Source: Current opinion in structural biology [Curr Opin Struct Biol] 2025 Dec; Vol. 95, pp. 103156. Date of Electronic Publication: 2025 Sep 13.
Publication Type: Editorial
Journal Info: Publisher: Elsevier Science Country of Publication: England NLM ID: 9107784 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-033X (Electronic) Linking ISSN: 0959440X NLM ISO Abbreviation: Curr Opin Struct Biol Subsets: MEDLINE; In Process
Database: MEDLINE Ultimate
Description
ISSN:1879-033X
DOI:10.1016/j.sbi.2025.103156