Quantifying the distribution of fitness effects among newly arising mutations in the human genome is key to resolving important debates in medical and evolutionary genetics. Here, we present a method
PROXiMATE is a database of thermodynamic data for more than 6000 missense mutations in 174 heterodimeric protein-protein complexes, supplemented with interaction network data from STRING database, sol
This item primarily hosts the checkpoint and some sampled data for training μFormer (or Mu-Former, uFormer, MuFormer, for readability), a potent tool tailored for predicting the effects of protein mut
