Against All Odds: Computational Screening Via Machine Learning Ranking and Generation of Antibody Candidates for Creutzfeldt-Jakob Disease.
Overview
- College of the Canyons, Santa Clarita, California, United States
- Academy of the Canyons, Santa Clarita, California, United States
Abstract
Creutzfeldt-Jakob disease (CJD) is a fatal prion disorder with no approved treatments. This study developed a machine learning pipeline trained on 21 literature-curated PrP-targeting CDR sequences to rank 29,574 original and mutation-generated candidate sequences using neutralization, selectivity, and literature-based blood-brain barrier (BBB) proxy scores. The models showed internal performance (neutralization AUC = 0.9239; selectivity AUC = 0.7759), identified 10 high-percentile candidates, and generated 7,309 novel variants. These findings support hypothesis-generating sequence-level prioritization of PrP-targeting candidates, but do not establish native PrP Sc -specific binding, full-antibody efficacy, exact PrP epitope recognition, or in vivo BBB penetration and require further experimental validation and testing.
Reproduced under the paper's license (CC BY), from the paper cited above.
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Axy-lis/CJD_ML_AAO
Availability: 1 check, the latest on 26 September 2026: the link is dead
- 26 September 2026: the link is dead
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Recorded: type, language, journal, volume, pages, dates, 2 authors, 12 references.
Cite
This paper
Tiruvellore, V., & Koegle, M. (2026). Against All Odds: Computational Screening Via Machine Learning Ranking and Generation of Antibody Candidates for Creutzfeldt-Jakob Disease. microPublication biology, 2026, 10.17912/
BibTeX
@article{tiruvellore2026
author = {Tiruvellore, Vinayan and Koegle, Mike},
title = {{Against All Odds: Computational Screening Via Machine Learning Ranking and Generation of Antibody Candidates for Creutzfeldt-Jakob Disease}},
journal = {microPublication biology},
year = {2026},
month = sep,
volume = {2026},
pages = {10.17912/
publisher = {California Institute of Technology},
issn = {2578-9430},
doi = {10.17912/
url = {https://
pmid = {42763563},
pmcid = {PMC13589262}
}
RIS
TY - JOUR
AU - Tiruvellore, Vinayan
AU - Koegle, Mike
TI - Against All Odds: Computational Screening Via Machine Learning Ranking and Generation of Antibody Candidates for Creutzfeldt-Jakob Disease
T2 - microPublication biology
J2 - MicroPubl Biol
PY - 2026
DA - 2026/
VL - 2026
SP - 10.17912/
SN - 2578-9430
PB - California Institute of Technology
DO - 10.17912/
UR - https://
LA - en
ER -
CSL-JSON
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