Prediction of protein biophysical traits from limited data: a case study on nanobody thermostability through NanoMelt
Aubin Ramon, Mingyang Ni, Olga Predeina, Rebecca Gaffey, Patrick Kunz, Shimobi C. Onuoha, Pietro Sormanni
NanoMelt, a ridge-stacked ensemble of regressors on four diverse sequence embeddings, predicts nanobody melting temperature from 640 curated sequences, reaching Spearman 0.832 under nested cross-validation.
mAbs · Jan 8, 2025Peer-reviewedBioengineering✦ In-depth digest