Bruce J. Wittmann

Inverse FoldDir designs protein sequences compatible with a given backbone structure, achieving high accuracy and experimental validation in nanobody redesign.

FLIP2 adds seven protein fitness datasets and 16 splits for enzymes, light-sensitive proteins, and interactions; simple ridge and zero-shot baselines often rival fine-tuned protein language models.

This study evaluates the effectiveness of biosecurity screening tools against AI-generated synthetic homologs of proteins of concern, finding some tools can detect fragments as short as 50 nucleotides.

This study evaluates the risks of AI-driven protein design by testing synthetic homologs against biosecurity screening software.

The paper evaluates biosecurity screening tools for detecting AI-generated synthetic protein homologs and reports improved detection rates through patches.

This paper introduces MLDE, a machine learning-assisted directed evolution method that outperforms traditional greedy optimization in navigating combinatorial fitness landscapes with reduced screening burden.