3 papers
q-bio.BM2025
IgCraft: A versatile sequence generation framework for antibody discovery and engineering
Matthew Greenig, Haowen Zhao, Vladimir Radenkovic +2
Designing antibody sequences to better resemble those observed in natural human repertoires is a key challenge in biologics development. We introduce IgCraft: a multi-purpose model…
q-bio.BM2024
Score-Based Generative Models for Designing Binding Peptide Backbones
John D Boom, Matthew Greenig, Pietro Sormanni +1
Score-based generative models (SGMs) have proven to be powerful tools for designing new proteins. Designing proteins that bind a pre-specified target is highly relevant to a range…
q-bio.QM2024
Improving Antibody Humanness Prediction using Patent Data
Talip Ucar, Aubin Ramon, Dino Oglic +3
We investigate the potential of patent data for improving the antibody humanness prediction using a multi-stage, multi-loss training process. Humanness serves as a proxy for the im…