Castrense Savojardo

According to our database1, Castrense Savojardo authored at least 24 papers between 2009 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.



In proceedings 
PhD thesis 


Online presence:



Large-scale prediction and analysis of protein sub-mitochondrial localization with DeepMito.
BMC Bioinform., 2020

DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks.
Bioinform., 2020

Transmembrane Domain Prediction.
Proceedings of the Encyclopedia of Bioinformatics and Computational Biology - Volume 2, 2019

On the biases in predictions of protein stability changes upon variations: the INPS test case.
Bioinform., 2019

BUSCA: an integrative web server to predict subcellular localization of proteins.
Nucleic Acids Res., 2018

DeepSig: deep learning improves signal peptide detection in proteins.
Bioinform., 2018

SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments.
Bioinform., 2017

ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model.
Bioinform., 2017

INPS-MD: a web server to predict stability of protein variants from sequence and structure.
Bioinform., 2016

TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins.
Bioinform., 2015

INPS: predicting the impact of non-synonymous variations on protein stability from sequence.
Bioinform., 2015

TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs.
Bioinform., 2014

Machine-learning methods for structure prediction of β-barrel membrane proteins.
PhD thesis, 2013

Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations.
BMC Bioinform., 2013

BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming.
Bioinform., 2013

BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes.
Bioinform., 2013

The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields.
Bioinform., 2013

MemPype: a pipeline for the annotation of eukaryotic membrane proteins.
Nucleic Acids Res., 2011

Improving the detection of transmembrane β-barrel chains with N-to-1 extreme learning machines.
Bioinform., 2011

Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization.
Bioinform., 2011

Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2011

Disulfide Connectivity Prediction with Extreme Learning Machines.
Proceedings of the BIOINFORMATICS 2011, 2011

Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods.
Proceedings of the Computational Intelligence Methods for Bioinformatics and Biostatistics, 2010

Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications.
Algorithms Mol. Biol., 2009