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Castrense Savojardo
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2020 – today
- 2023
- [j23]Giovanni Madeo, Castrense Savojardo
, Matteo Manfredi
CoCoNat: a novel method based on deep learning for coiled-coil prediction. Bioinform. 39(8) (2023) - 2022
- [j22]Matteo Manfredi
E-SNPs&GO: embedding of protein sequence and function improves the annotation of human pathogenic variants. Bioinform. 38(23): 5168-5174 (2022) - 2021
- [j21]Castrense Savojardo
On the critical review of five machine learning-based algorithms for predicting protein stability changes upon mutation. Briefings Bioinform. 22(1): 601-603 (2021) - [j20]Davide Baldazzi
BENZ WS: the Bologna ENZyme Web Server for four-level EC number annotation. Nucleic Acids Res. 49(Webserver-Issue): 60-66 (2021) - 2020
- [j19]Castrense Savojardo
DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks. Bioinform. 36(1): 56-64 (2020) - [j18]Castrense Savojardo
Large-scale prediction and analysis of protein sub-mitochondrial localization with DeepMito. BMC Bioinform. 21-S(8): 266 (2020)
2010 – 2019
- 2019
- [j17]Ludovica Montanucci
On the biases in predictions of protein stability changes upon variations: the INPS test case. Bioinform. 35(14): 2525-2527 (2019) - [r1]Pier Luigi Martelli, Castrense Savojardo
Transmembrane Domain Prediction. Encyclopedia of Bioinformatics and Computational Biology (2) 2019: 46-52 - 2018
- [j16]Castrense Savojardo
DeepSig: deep learning improves signal peptide detection in proteins. Bioinform. 34(10): 1690-1696 (2018) - [j15]Castrense Savojardo
BUSCA: an integrative web server to predict subcellular localization of proteins. Nucleic Acids Res. 46(Webserver-Issue): W459-W466 (2018) - 2017
- [j14]Castrense Savojardo
SChloro: directing Viridiplantae proteins to six chloroplastic sub-compartments. Bioinform. 33(3): 347-353 (2017) - [j13]Castrense Savojardo
ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model. Bioinform. 33(11): 1656-1663 (2017) - 2016
- [j12]Castrense Savojardo
INPS-MD: a web server to predict stability of protein variants from sequence and structure. Bioinform. 32(16): 2542-2544 (2016) - 2015
- [j11]Piero Fariselli, Pier Luigi Martelli
INPS: predicting the impact of non-synonymous variations on protein stability from sequence. Bioinform. 31(17): 2816-2821 (2015) - [j10]Castrense Savojardo
TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins. Bioinform. 31(20): 3269-3275 (2015) - 2014
- [j9]Castrense Savojardo
TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs. Bioinform. 30(20): 2973-2974 (2014) - 2013
- [b1]Castrense Savojardo:
Machine-learning methods for structure prediction of β-barrel membrane proteins. University of Bologna, Italy, 2013 - [j8]Castrense Savojardo
BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes. Bioinform. 29(4): 504-505 (2013) - [j7]Valentina Indio
The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields. Bioinform. 29(8): 981-988 (2013) - [j6]Castrense Savojardo
BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming. Bioinform. 29(24): 3151-3157 (2013) - [j5]Castrense Savojardo
Prediction of disulfide connectivity in proteins with machine-learning methods and correlated mutations. BMC Bioinform. 14(S-1): S10 (2013) - 2011
- [j4]Castrense Savojardo
Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization. Bioinform. 27(16): 2224-2230 (2011) - [j3]Castrense Savojardo
Improving the detection of transmembrane β-barrel chains with N-to-1 extreme learning machines. Bioinform. 27(22): 3123-3128 (2011) - [j2]Andrea Pierleoni
MemPype: a pipeline for the annotation of eukaryotic membrane proteins. Nucleic Acids Res. 39(Web-Server-Issue): 375-380 (2011) - [c3]Monther Alhamdoosh, Castrense Savojardo, Piero Fariselli, Rita Casadio:
Disulfide Connectivity Prediction with Extreme Learning Machines. BIOINFORMATICS 2011: 5-14 - [c2]Castrense Savojardo
Machine-Learning Methods to Predict Protein Interaction Sites in Folded Proteins. CIBB 2011: 127-135 - 2010
- [c1]Castrense Savojardo
Prediction of the Bonding State of Cysteine Residues in Proteins with Machine-Learning Methods. CIBB 2010: 98-111
2000 – 2009
- 2009
- [j1]Piero Fariselli
Grammatical-Restrained Hidden Conditional Random Fields for Bioinformatics applications. Algorithms Mol. Biol. 4: 13 (2009)
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