PredRSA specifications


Unique identifier OMICS_18739
Name PredRSA
Alternative name Prediction of Relative Solvent Accessible surface area


This tool is not maintained anymore.

Additional information

link to tool not found

Publication for Prediction of Relative Solvent Accessible surface area

PredRSA citations


MutaCYP: Classification of missense mutations in human cytochromes P450

BMC Med Genomics
PMCID: 4119178
PMID: 25073475
DOI: 10.1186/1755-8794-7-47

[…] by the difference of the corresponding similarity scores (ss_Abs_dSize); Z-score for Shannon entropy at a given position based on a window of 21 neighboring amino acids (zsEntropy21); predicted RSA (predRSA); and variance of predicted RSA for the window of 21 neighboring amino acids (varPredRSA21). Figure  displays the distributions of these five features for benign and disease causing mutations; […]


Sequence Based Prediction of DNA Binding Proteins Based on Hybrid Feature Selection Using Random Forest and Gaussian Naïve Bayes

PLoS One
PMCID: 3901691
PMID: 24475169
DOI: 10.1371/journal.pone.0086703
call_split See protocol

[…] ifier to generate prediction of the DNA-binding proteins. The features in this study are coded from primary sequence, predicted secondary structure (PredSS), predicted relative solvent accessibility (PredRSA), position specific scoring matrix (PSSM) generated by PSI-BLAST . They are divided into four categories, secondary structure based, average RSA based, amino acid (AA) composition based, and P […]

PredRSA institution(s)
School of Software, Central South University, Changsha, China; Shanghai Key Laboratory of Intelligent Information Processing, Shanghai, China
PredRSA funding source(s)
Supported by National Natural Science Foundation of China under grants No. 61309010 and No. 61379057, China Postdoctoral Science Foundation under grant no. 2015T80886, Specialized Research Fund for the Doctoral Program of Higher Education of China under grant no. 20130162120073 and Shanghai Key Laboratory of Intelligent Information Processing under grant no. IIPL-2014-002.

PredRSA reviews

star_border star_border star_border star_border star_border
star star star star star

Be the first to review PredRSA