Charles W. J. Pugh

The paper blends physics-based and inverse folding models to separate variant effects on protein stability and function, revealing distinct signatures for gain-of-function and loss-of-function variants.

This paper improves variant effect prediction by introducing LFB, which averages model scores across sequences under similar selective pressures, enhancing performance across model sizes and datasets.