Intelligent in-silico prioritization of antimalarial peptide candidates under explicit physicochemical windows via de novo CTCM-Neo generation and conformal-gated calibrated classification.
Saved in:
| 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 |
|
Full text is not displayed to guests.
Login for full access.
|
|
Be the first to leave a comment!