Consensus computational immunogenicity modelling of botulinum neurotoxin serotypes: Cross-platform validation, uncertainty quantification, and relative risk assessment.
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| Title: | Consensus computational immunogenicity modelling of botulinum neurotoxin serotypes: Cross-platform validation, uncertainty quantification, and relative risk assessment. |
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| Authors: | Rahman E; Research and Innovation Hub, Innovation Aesthetics, London, UK. Electronic address: Eqram.rahman@gmail.com., Saklayen G; Department of Clinical Pharmacology, Dhaka University, Bangladesh., Ahmed M; Department of Haematology, Bangladesh Medical University, Dhaka, Bangladesh., Joseph JH; Amalfi bio, Jacksonville, TX, USA., Webb WR; Research and Innovation Hub, Innovation Aesthetics, London, UK. |
| Source: | Toxicon : official journal of the International Society on Toxinology [Toxicon] 2026 Jul 01; Vol. 277, pp. 109090. Date of Electronic Publication: 2026 Apr 02. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Pergamon Press Country of Publication: England NLM ID: 1307333 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-3150 (Electronic) Linking ISSN: 00410101 NLM ISO Abbreviation: Toxicon Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| ISSN: | 1879-3150 |
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| DOI: | 10.1016/j.toxicon.2026.109090 |
