Florence Pojer

A generalizable interface-seeded framework for de novo design of functional oligomers

This paper introduces an AI-based framework for designing responsive protein oligomers that assemble in response to chemical or phosphorylation triggers, validated through experimental testing.

FragmentScope - exploring the fragment space with learned surface representations

FragmentScope uses learned protein surface representations to guide fragment placement and small molecule design, achieving accurate placement and promising lead compounds.

Key determinants of T cell epitope recognition revealed by TCR specificity profiles

The paper introduces TCR specificity profiles to identify key determinants of TCR-epitope recognition and shows their ability to predict cross-reactivity and interpret machine learning models.

Molecular characterization of an adhesion GPCR signal transduction

This study investigates ADGRG1 activation mechanisms through mechanical and allosteric pathways, showing force direction determines signaling via GAIN domain dynamics and introducing engineered variants with tailored sensitivity.

De novo design of light-regulated dynamic proteins using deep learning

This paper designs light-regulated dynamic proteins using deep learning, showing precise optogenetic control of cellular processes.

Transposable element co-option drives transcription factor neofunctionalization

The paper shows that a transposable element-derived domain in KRAB zinc-finger proteins enables new transcription factor functions through trimerization and condensate formation.

AI334 and AQ806 antibodies recognize the spike S protein from SARS-CoV-2 by ELISA