BGC-MAC and BGC-MAP: Attention-Based Models for Biosynthetic Gene Cluster Classification and Product Matching.
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| Title: | BGC-MAC and BGC-MAP: Attention-Based Models for Biosynthetic Gene Cluster Classification and Product Matching. |
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| Authors: | Lu K; Department of Pathology, UMass Chan Medical School, Worcester, Massachusetts 01655, United States., Li M; Department of Medicinal Chemistry, Center for Natural Products, Drug Discovery and Development (CNPD3), University of Florida, Gainesville, Florida 32610, United States., Geng H; Department of Chemistry, The University of Chicago, Chicago, Illinois 60637, United States., Xu W; Department of Medicinal Chemistry, Center for Natural Products, Drug Discovery and Development (CNPD3), University of Florida, Gainesville, Florida 32610, United States., Chen M; Department of Medicinal Chemistry, Center for Natural Products, Drug Discovery and Development (CNPD3), University of Florida, Gainesville, Florida 32610, United States., Fu TM; Department of Pathology, UMass Chan Medical School, Worcester, Massachusetts 01655, United States., Luesch H; Department of Medicinal Chemistry, Center for Natural Products, Drug Discovery and Development (CNPD3), University of Florida, Gainesville, Florida 32610, United States.; Program in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore 169857, Singapore., Ding Y; Department of Medicinal Chemistry, Center for Natural Products, Drug Discovery and Development (CNPD3), University of Florida, Gainesville, Florida 32610, United States., Xie WJ; Department of Medicinal Chemistry, Center for Natural Products, Drug Discovery and Development (CNPD3), University of Florida, Gainesville, Florida 32610, United States. |
| Source: | Journal of chemical information and modeling [J Chem Inf Model] 2026 Jan 12; Vol. 66 (1), pp. 138-151. Date of Electronic Publication: 2025 Dec 18. |
| Publication Type: | Journal Article; Research Support, N.I.H., Extramural |
| Journal Info: | Publisher: American Chemical Society Country of Publication: United States NLM ID: 101230060 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1549-960X (Electronic) Linking ISSN: 15499596 NLM ISO Abbreviation: J Chem Inf Model Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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