Prodepth specifications


Unique identifier OMICS_33768
Name Prodepth
Interface Web user interface
Restrictions to use None
Input data Some protein sequences.
Computer skills Basic
Stability Stable
Maintained Yes


  • person_outline Jiangning Song

Publication for Prodepth

Prodepth citations


Prediction of structural features and application to outer membrane protein identification

Sci Rep
PMCID: 4478468
PMID: 26104144
DOI: 10.1038/srep11586

[…] ormance using the data reported in the literatures. Yuan-Wang method reported to be a MAE value of 0.600 and a Pcc value of 0.650. RDpred method yielded a MAE value of 0.558 and a Pcc value of 0.670. Prodepth method generated a Pcc value of 0.710. PSSM-2-Features generated a MAE value of 0.062 and a Pcc value of 0.597 on SCOPe_TEST1073 dataset and a MAE value of 0.083 and a Pcc value of 0.553 on P […]


Prodepth: Predict Residue Depth by Support Vector Regression Approach from Protein Sequences Only

PLoS One
PMCID: 2742725
PMID: 19759917
DOI: 10.1371/journal.pone.0007072

[…] The Prodepth webserver can be accessed at for online prediction of RD from protein sequences only. It is developed to facilitate RD prediction analysis […]

Prodepth institution(s)
Department of Biochemistry and Molecular Biology, Monash University, Melbourne, VIC, Australia; Bioinformatics Center, Institute for Chemical Research, Kyoto University, Kyoto, Japan; Faculty of Information Technology, Monash University, Melbourne, VIC, Australia; ARC Centre of Excellence for Structural and Functional Microbial Genomics, Monash University, Melbourne, VIC, Australia
Prodepth funding source(s)
Supported by grants from the National Health and Medical Research Council of Australia (NHMRC), Australian Research Council (ARC) and Japan Society for the Promotion of Science (JSPS).

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