Residue solvent accessibility (RSA) is closely related to the spatial arrangement and packing of residues. Predicting the solvent accessibility of a protein is an important step to understand its structure and function. A more accurate prediction tool SDBRNN is provided here.
SDBRNN model for RSA prediction download link is here. Users need to install Theano and Keras2.0.
mapping vector which maps a sparse 22-dimensional vector into a denser 22-dimensional vector download link is here.
The testing data style is: sequences residues features,labels. The 21-dim features are 20 PSSM and residues. PSSM is like:
A R N D C Q E G H I L K M F P S T W Y V
Model of SDBRNN input data style: “sequences residues features” and the input features are: 20-PSSM, 7-dim Physical properties, 3-dim physicochemical characteristics, 1-dim conservation score, 22dim- protein encoding.
Please note that SDBRNN is free for academic use purpose only, for commercial usage, please contact us.
If you have any suggestions or questions, Please email to: firstname.lastname@example.org