Protein folding rate

DATASET 1

Kinetic data for variants

806 variants in 24 proteins

Training     Test

Reference:Naganathan A, Muñoz V, Insights into protein folding mechanisms from large scale analysis of mutational effects, Proc Natl Acad Sci U S A;107(19):8611-6. doi: 10.1073/pnas.1000988107.  PUBMED  

DATASET 2

Data set for KD-FREEDOM

467 variants in 15 proteins

F

Reference:Huang L, Gromiha M, First insight into the prediction of protein folding rate change upon point mutation, Bioinformatics;26(17):2121-7. doi: 10.1093/bioinformatics/btq350.  PUBMED  

DATASET 3

Dataset for Fora

F467 467 variants in 15 proteins, 162S 162 variants in strands, 155H 155 variants in helices, 150C 150 variants in coils.

F1    F2

Reference:Huang L, Gromiha M, Real value prediction of protein folding rate change upon point mutation, J Comput Aided Mol Des;26(3):339-47. doi: 10.1007/s10822-012-9560-3.  PUBMED  

DATASET 4

Dataset for FREEDOM

F661 661 variants

F

Reference:Huang L, Finding simple rules for discriminating folding rate change upon single mutation by statistical and learning methods, Protein Pept Lett:743-51. doi: 10.2174/09298665113209990070.  PUBMED  

DATASET 5

Dataset for unfolding RACE and Folding RaCe

790 variants in 26 two-state-like proteins, 189 folding accelerating and 601 folding decelerating variants

F1    F2    F3

Reference:Chaudhary P, Naganathan A, Gromiha M, Prediction of change in protein unfolding rates upon point mutations in two state proteins, Biochim Biophys Acta;1864(9):1104-1109. doi: 10.1016/j.bbapap.2016.06.001.  PUBMED  
Chaudhary P, Naganathan A, Gromiha M, Folding RaCe: a robust method for predicting changes in protein folding rates upon point mutations, Bioinformatics;31(13):2091-7. doi: 10.1093/bioinformatics/btv091.  PUBMED  

DATASET 6

Dataset for PON-Fold

762 variants used for training and 190 variants for blind test

   F1    F2

Last updated: 2022-06-14 by Mauno Vihinen.