:: DESCRIPTION
PredGPI is a prediction system for GPI-anchored proteins. It is based on a support vector machine (SVM) for the discrimination of the anchoring signal, and on a Hidden Markov Model (HMM) for the prediction of the most probable omega-site
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
No. Only Web Service
:: MORE INFORMATION
Citation
Pierleoni A, Martelli PL, Casadio R
PredGPI: a GPI anchor predictor
BMC Bioinformatics- 9:392 (2008)
:: DESCRIPTION
MemLoci is a predictor for the subcellular localization of proteins associated or inserted in eukaryotes membranes.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
No. Only Web Service
:: MORE INFORMATION
Citation
MemLoci: predicting subcellular localization of membrane proteins in eukaryotes.
Pierleoni A, Martelli PL, Casadio R.
Bioinformatics. 2011 May 1;27(9):1224-30. Epub 2011 Mar 2.
:: DESCRIPTION
DCON is a predictor of disulfide connectivity in proteins
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Prediction of disulfide connectivity in proteins
Piero Fariselli and Rita Casadio
Bioinformatics (2001) 17 (10): 957-964.
:: DESCRIPTION
CORNET is a method based on neural networks for predicting contact maps of proteins using as input chemico-physical and evolutionary information.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
No, Only Web Service
:: MORE INFORMATION
Citation
Protein Eng. 1999 Jan;12(1):15-21.
A neural network based predictor of residue contacts in proteins.
Fariselli P, Casadio R.
:: DESCRIPTION
CCHMM (Coiled-Coil Domains with Hidden Markov Models) is a predictor of coiled-coil segments in proteins. The software bases on hidden Markov models that complement the existing methods and outperforms them in the task of locating structurally-defined coiled-coil segments.
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
No, Only Web Service
:: MORE INFORMATION
Citation
Prediction of Structurally-Determined Coiled-Coil Domains with Hidden Markov Models
Piero Fariselli, Daniele Molinini, Rita Casadio and Anders Krogh
Lecture Notes in Computer Science, 2007, Volume 4414, Bioinformatics Research and Development, Pages 292-302
:: DESCRIPTION
BaCelLo (Balanced Subcellular Localization Predictor) is a predictor for the subcellular localization of proteins in eukaryotes. It is based on a decision tree of several support vector machines (SVMs), it classifies up to four localizations for Fungi and Metazoan proteins and five localizations for Plant ones
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
No, Only Web Service
:: MORE INFORMATION
Citation
BaCelLo: a Balanced subCellular Localization predictor.
Andrea Pierleoni 1, Pier Luigi Martelli1, Piero Fariselli1 and Rita Casadio1
Bioinformatics, 22, e408-e416.
:: DESCRIPTION
PhD-SNP supports Vector Machine based method to discriminate between neutral or disease-related single point protein mutations.
::DEVELOPER
the Structural Bioinformatics Unit
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Bioinformatics. 2006 Nov 15;22(22):2729-34. Epub 2006 Aug 7.
Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information.
Capriotti E, Calabrese R, Casadio R.
:: DESCRIPTION
Evigan is an automated gene annotation program for eukaryotic genomes, employing probabilistic inference to integrate multiple sources of gene evidence. The probabilistic model is a dynamic Bayes network whose parameters are adjusted to maximize the probability of observed evidence. Consensus gene predictions are then derived by maximum likelihood decoding, yielding n-best models (with probabilities for each).
::DEVELOPER
:: SCREENSHOTS
N/A
:: REQUIREMENTS
:: DOWNLOAD
:: MORE INFORMATION
Citation
Evigan: a hidden variable model for integrating gene evidence for eukaryotic gene prediction.
Liu Q, Mackey AJ, Roos DS, Pereira FC.
Bioinformatics. 2008 Mar 1;24(5):597-605. Epub 2008 Jan 10.