Emidio Capriotti
Zitiert von
Zitiert von
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
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
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
Bioinformatics challenges for personalized medicine
GH Fernald, E Capriotti, R Daneshjou, KJ Karczewski, RB Altman
Bioinformatics 27 (13), 1741-1748, 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
A three-state prediction of single point mutations on protein stability changes
E Capriotti, P Fariselli, I Rossi, R Casadio
BMC bioinformatics 9 (2), 1-9, 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
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
Collective judgment predicts disease-associated single nucleotide variants
E Capriotti, RB Altman, Y Bromberg
BMC genomics 14, 1-9, 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
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
Improving the prediction of disease-related variants using protein three-dimensional structure
E Capriotti, RB Altman
BMC bioinformatics 12 (4), 1-11, 2011
PhD-SNPg: a webserver and lightweight tool for scoring single nucleotide variants
E Capriotti, P Fariselli
Nucleic acids research 45 (W1), W247-W252, 2017
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
Computational and theoretical methods for protein folding
M Compiani, E Capriotti
Biochemistry 52 (48), 8601-8624, 2013
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
Bioinformatics for personal genome interpretation
E Capriotti, NL Nehrt, MG Kann, Y Bromberg
Briefings in Bioinformatics, 2012
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
A new disease-specific machine learning approach for the prediction of cancer-causing missense variants
E Capriotti, RB Altman
Genomics, 2011
All-atom knowledge-based potential for RNA structure prediction and assessment
E Capriotti, T Norambuena, MA Marti-Renom, F Melo
Bioinformatics 27 (8), 1086-1093, 2011
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