Andre A. R. Teixeira

OpenAntigens: a structure-aware database for antigen construct design across the human cell-surface and secreted proteome

A static web database proposes 55 305 construct suggestions for 5328 human secreted and cell-surface proteins, using AlphaFold pLDDT and PAE, with ortholog, paralog and BLAST cross-reactivity context.

An interpretable open platform for sequence-based antibody developability prediction

DELPHI is an open platform for predicting antibody developability from sequence, achieving high AUC scores and enabling residue-level engineering insights.

High-Throughput Machine Learning-Aided Antibody Discovery for Cell Surface Antigens

The paper develops a synthetic Fab yeast display library integrated with machine learning to discover antibodies against cell surface antigens, yielding hundreds of validated antibodies and a public dataset.

Machine Learning enables efficient and effective affinity maturation of nanobodies

This paper uses machine learning to predict high-affinity nanobody binders from sparse sequencing data, outperforming deep learning and semi-supervised methods with linear models.