Monoclonal and Polyclonal Antibodies Research

This paper develops photocaged nanobodies for in vivo applications using genetic code expansion and computational methods to control protein interactions with light.

The paper introduces a computational pipeline for antibody humanization that uses VH-VL binding energy sorting to optimize humanized antibodies and validates it against experimental data.

This paper develops a machine learning pipeline to predict antibody developability from sequence, achieving high sensitivity and specificity on a dataset of 2400 antibodies.

The paper designs tetravalent anti-sperm IgGs with enhanced agglutination potency compared to the parent IgG, while maintaining production yields and thermostability.

The paper engineers multivalent IgG antibodies that agglutinate sperm more potently than monovalent IgGs, achieving high contraceptive efficacy in sheep.

Mammalian display of CRISPR-introduced trastuzumab mutant libraries trains a network that picks antigen binders out of a hundred-million-variant virtual library; 30 of 30 tested variants bound.

The paper develops and validates a set of nanobodies for targeting proteins in brain neurons, providing a toolbox for visualization and modulation of subcellular sites.