Ontology highlight
ABSTRACT:
SUBMITTER: Gelman S
PROVIDER: S-EPMC10980077 | biostudies-literature | 2024 Mar
REPOSITORIES: biostudies-literature
Gelman Sam S Johnson Bryce B Freschlin Chase C Sharma Arnav A D'Costa Sameer S Peters John J Gitter Anthony A Romero Philip A PA
bioRxiv : the preprint server for biology 20250424
Protein language models trained on evolutionary data have emerged as powerful tools for predictive problems involving protein sequence, structure, and function. However, these models overlook decades of research into biophysical factors governing protein function. We propose Mutational Effect Transfer Learning (METL), a protein language model framework that unites advanced machine learning and biophysical modeling. Using the METL framework, we pretrain transformer-based neural networks on biophy ...[more]