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Castrense Savojardo
Castrense Savojardo
Ph.D. in Computer Science, Assistant Professor, Department of Pharmacy and Biotechnology, University
Zweryfikowany adres z unibo.it - Strona główna
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The CAFA challenge reports improved protein function prediction and new functional annotations for hundreds of genes through experimental screens
N Zhou, Y Jiang, TR Bergquist, AJ Lee, BZ Kacsoh, AW Crocker, ...
Genome biology 20, 1-23, 2019
3472019
BUSCA: an integrative web server to predict subcellular localization of proteins
C Savojardo, PL Martelli, P Fariselli, G Profiti, R Casadio
Nucleic acids research 46 (W1), W459-W466, 2018
3022018
INPS-MD: a web server to predict stability of protein variants from sequence and structure
C Savojardo, P Fariselli, PL Martelli, R Casadio
Bioinformatics 32 (16), 2542-2544, 2016
1912016
INPS: predicting the impact of non-synonymous variations on protein stability from sequence
P Fariselli, PL Martelli, C Savojardo, R Casadio
Bioinformatics 31 (17), 2816-2821, 2015
1262015
DeepSig: deep learning improves signal peptide detection in proteins
C Savojardo, PL Martelli, P Fariselli, R Casadio
Bioinformatics 34 (10), 1690-1696, 2018
1012018
DeepMito: accurate prediction of protein sub-mitochondrial localization using convolutional neural networks
C Savojardo, N Bruciaferri, G Tartari, PL Martelli, R Casadio
Bioinformatics 36 (1), 56-64, 2020
722020
Solvent accessibility of residues undergoing pathogenic variations in humans: from protein structures to protein sequences
C Savojardo, M Manfredi, PL Martelli, R Casadio
Frontiers in molecular biosciences 7, 626363, 2021
712021
eDGAR: a database of Disease-Gene Associations with annotated Relationships among genes
G Babbi, PL Martelli, G Profiti, S Bovo, C Savojardo, R Casadio
BMC genomics 18, 25-34, 2017
612017
BETAWARE: a machine-learning tool to detect and predict transmembrane beta-barrel proteins in prokaryotes
C Savojardo, P Fariselli, R Casadio
Bioinformatics 29 (4), 504-505, 2013
522013
TPpred2: improving the prediction of mitochondrial targeting peptide cleavage sites by exploiting sequence motifs
C Savojardo, PL Martelli, P Fariselli, R Casadio
Bioinformatics 30 (20), 2973-2974, 2014
472014
TPpred3 detects and discriminates mitochondrial and chloroplastic targeting peptides in eukaryotic proteins
C Savojardo, PL Martelli, P Fariselli, R Casadio
Bioinformatics 31 (20), 3269-3275, 2015
452015
Improving the prediction of disulfide bonds in Eukaryotes with machine learning methods and protein subcellular localization
C Savojardo, P Fariselli, M Alhamdoosh, PL Martelli, A Pierleoni, ...
Bioinformatics 27 (16), 2224-2230, 2011
452011
Large scale analysis of protein stability in OMIM disease related human protein variants
PL Martelli, P Fariselli, C Savojardo, G Babbi, F Aggazio, R Casadio
BMC genomics 17, 239-247, 2016
402016
MemPype: a pipeline for the annotation of eukaryotic membrane proteins
A Pierleoni, V Indio, C Savojardo, P Fariselli, PL Martelli, R Casadio
Nucleic acids research 39 (suppl_2), W375-W380, 2011
352011
ISPRED4: interaction sites PREDiction in protein structures with a refining grammar model
C Savojardo, P Fariselli, PL Martelli, R Casadio
Bioinformatics 33 (11), 1656-1663, 2017
332017
On the biases in predictions of protein stability changes upon variations: the INPS test case
L Montanucci, C Savojardo, PL Martelli, R Casadio, P Fariselli
Bioinformatics 35 (14), 2525-2527, 2019
322019
BCov: a method for predicting β-sheet topology using sparse inverse covariance estimation and integer programming
C Savojardo, P Fariselli, PL Martelli, R Casadio
Bioinformatics 29 (24), 3151-3157, 2013
312013
Machine learning solutions for predicting protein–protein interactions
R Casadio, PL Martelli, C Savojardo
Wiley Interdisciplinary Reviews: Computational Molecular Science 12 (6), e1618, 2022
292022
Grammatical-restrained hidden conditional random fields for bioinformatics applications
P Fariselli, C Savojardo, PL Martelli, R Casadio
Algorithms for Molecular Biology 4, 1-10, 2009
272009
Improving the detection of transmembrane β-barrel chains with N-to-1 extreme learning machines
C Savojardo, P Fariselli, R Casadio
Bioinformatics 27 (22), 3123-3128, 2011
232011
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