Intelligent in-silico prioritization of antimalarial peptide candidates under explicit physicochemical windows via de novo CTCM-Neo generation and conformal-gated calibrated classification.

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Bibliographic Details
Title: Intelligent in-silico prioritization of antimalarial peptide candidates under explicit physicochemical windows via de novo CTCM-Neo generation and conformal-gated calibrated classification.
Authors: Aamir M; College of Computer Science and Artificial Intelligence, Huanggang Normal University, Huanggang, Hubei, China., Rezaee K; Department of Biomedical Engineering, Meybod University, Meybod, Iran., Anari MS; Department of Computer Engineering, Technical and Vocational University (TVU), Tehran, Iran.
Source: Frontiers in cellular and infection microbiology [Front Cell Infect Microbiol] 2026 Mar 04; Vol. 16, pp. 1707267. Date of Electronic Publication: 2026 Mar 04 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: Frontiers Media SA Country of Publication: Switzerland NLM ID: 101585359 Publication Model: eCollection Cited Medium: Internet ISSN: 2235-2988 (Electronic) Linking ISSN: 22352988 NLM ISO Abbreviation: Front Cell Infect Microbiol Subsets: MEDLINE
Database: MEDLINE Ultimate
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