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 | 364 | 2019 |
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 | 333 | 2018 |
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 | 199 | 2016 |
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 | 137 | 2015 |
DeepSig: deep learning improves signal peptide detection in proteins C Savojardo, PL Martelli, P Fariselli, R Casadio Bioinformatics 34 (10), 1690-1696, 2018 | 107 | 2018 |
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 | 78 | 2021 |
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 | 76 | 2020 |
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 | 64 | 2017 |
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 | 51 | 2013 |
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 | 47 | 2015 |
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 | 46 | 2014 |
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 | 45 | 2011 |
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 | 39 | 2016 |
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 | 36 | 2011 |
Machine learning solutions for predicting protein–protein interactions R Casadio, PL Martelli, C Savojardo Wiley Interdisciplinary Reviews: Computational Molecular Science 12 (6), e1618, 2022 | 34 | 2022 |
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 | 34 | 2017 |
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 | 31 | 2019 |
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 | 31 | 2013 |
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 | 27 | 2009 |
The prediction of organelle-targeting peptides in eukaryotic proteins with Grammatical-Restrained Hidden Conditional Random Fields V Indio, PL Martelli, C Savojardo, P Fariselli, R Casadio Bioinformatics 29 (8), 981-988, 2013 | 23 | 2013 |