I-Mutant2. 0: predicting stability changes upon mutation from the protein sequence or structure E Capriotti, P Fariselli, R Casadio Nucleic acids research 33 (suppl_2), W306-W310, 2005 | 1992 | 2005 |
Predicting the insurgence of human genetic diseases associated to single point protein mutations with support vector machines and evolutionary information E Capriotti, R Calabrese, R Casadio Bioinformatics 22 (22), 2729-2734, 2006 | 965 | 2006 |
Functional annotations improve the predictive score of human disease‐related mutations in proteins R Calabrese, E Capriotti, P Fariselli, PL Martelli, R Casadio Human mutation 30 (8), 1237-1244, 2009 | 753 | 2009 |
Bioinformatics challenges for personalized medicine GH Fernald, E Capriotti, R Daneshjou, KJ Karczewski, RB Altman Bioinformatics 27 (13), 1741-1748, 2011 | 378 | 2011 |
The three-dimensional folding of the α-globin gene domain reveals formation of chromatin globules D Baù, A Sanyal, BR Lajoie, E Capriotti, M Byron, JB Lawrence, J Dekker, ... Nature structural & molecular biology 18 (1), 107-114, 2011 | 341 | 2011 |
A three-state prediction of single point mutations on protein stability changes E Capriotti, P Fariselli, I Rossi, R Casadio BMC bioinformatics 9, 1-9, 2008 | 341 | 2008 |
WS-SNPs&GO: a web server for predicting the deleterious effect of human protein variants using functional annotation E Capriotti, R Calabrese, P Fariselli, PL Martelli, RB Altman, R Casadio BMC genomics 14, 1-7, 2013 | 329 | 2013 |
Collective judgment predicts disease-associated single nucleotide variants E Capriotti, RB Altman, Y Bromberg BMC genomics 14, 1-9, 2013 | 261 | 2013 |
Predicting protein stability changes from sequences using support vector machines E Capriotti, P Fariselli, R Calabrese, R Casadio Bioinformatics 21 (suppl_2), ii54-ii58, 2005 | 233 | 2005 |
A neural-network-based method for predicting protein stability changes upon single point mutations E Capriotti, P Fariselli, R Casadio Bioinformatics 20 (suppl_1), i63-i68, 2004 | 233 | 2004 |
PhD-SNPg: a webserver and lightweight tool for scoring single nucleotide variants E Capriotti, P Fariselli Nucleic acids research 45 (W1), W247-W252, 2017 | 185 | 2017 |
Improving the prediction of disease-related variants using protein three-dimensional structure E Capriotti, RB Altman BMC bioinformatics 12, 1-11, 2011 | 167 | 2011 |
Phased whole-genome genetic risk in a family quartet using a major allele reference sequence FE Dewey, R Chen, SP Cordero, KE Ormond, C Caleshu, KJ Karczewski, ... PLoS genetics 7 (9), e1002280, 2011 | 160 | 2011 |
DOME: recommendations for supervised machine learning validation in biology I Walsh, D Fishman, D Garcia-Gasulla, T Titma, G Pollastri, J Harrow, ... Nature methods 18 (10), 1122-1127, 2021 | 159 | 2021 |
Limitations and challenges in protein stability prediction upon genome variations: towards future applications in precision medicine T Sanavia, G Birolo, L Montanucci, P Turina, E Capriotti, P Fariselli Computational and structural biotechnology journal 18, 1968-1979, 2020 | 115 | 2020 |
DDGun: an untrained method for the prediction of protein stability changes upon single and multiple point variations L Montanucci, E Capriotti, Y Frank, N Ben-Tal, P Fariselli BMC bioinformatics 20, 1-10, 2019 | 114 | 2019 |
Bioinformatics and variability in drug response: a protein structural perspective JL Lahti, GW Tang, E Capriotti, T Liu, RB Altman Journal of The Royal Society Interface 9 (72), 1409-1437, 2012 | 101 | 2012 |
Computational and theoretical methods for protein folding M Compiani, E Capriotti Biochemistry 52 (48), 8601-8624, 2013 | 98 | 2013 |
A new disease-specific machine learning approach for the prediction of cancer-causing missense variants E Capriotti, RB Altman Genomics, 2011 | 90 | 2011 |
Bioinformatics for personal genome interpretation E Capriotti, NL Nehrt, MG Kann, Y Bromberg Briefings in Bioinformatics, 2012 | 86 | 2012 |