Kerr Ding

CS PhD @GeorgiaTech | ML & Computational Biology | AI Research Scientist Intern @Biohub

[Kerr Ding @KerrDing_00]

Excited to share our #RECOMB2026 work, DETANGO: a deep learning framework for disentangling mutation effects on protein stability and function from evolutionary signals captured by protein language models (pLMs).

DETANGO estimates a functional plausibility score that quantifies mutation effects on function beyond what can be explained by stability alone. Across extensive benchmarks, DETANGO accurately identifies stable-but-inactive (SBI) variants and functionally important residues involved in ligand binding, catalysis, and allostery.

Grateful to my co-authors @ZiangLi2001, @Qwe1029384756Tu, and Jiaqi Luo, and to my advisor @luoyunan for their invaluable contributions and support throughout this work! Special thanks to Tony for representing our team and presenting DETANGO today at RECOMB 2026 in Thessaloniki, Greece!

Preprint: https://t.co/xwLTYSRFM6
Code: https://t.co/HqnrlI56Na

#MutationEffectPrediction #ProteinLanguageModels #ProteinFunction #ComputationalBiology #DeepLearning