Piero Fariselli

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Rita CasadioFull Professor of Biochemistry, University of BolognaVerified email at unibo.it
Pier Luigi MartelliUniversity of BolognaVerified email at biocomp.unibo.it
Emidio CapriottiUniversity of BolognaVerified email at unibo.it
Castrense SavojardoPh.D. in Computer Science, Assistant Professor, Department of Pharmacy and Biotechnology, UniversityVerified email at unibo.it
Ivan RossiBiodec SrlVerified email at biodec.com
Pietro Di LenaAssociate Professor, Department of Computer Science and Engineering - University of BolognaVerified email at unibo.it
Luciano MargaraDISI bolognaVerified email at unibo.it
Alfonso ValenciaICREA Professor. Barcelona Supercomputing Center.Verified email at bsc.es
Andrea PierleoniAmazon Alexa AIVerified email at amazon.com
Burkhard RostProfessor of Computer Science & Computational Biology & Bioinformatics, TUM, MunichVerified email at tum.de
Giuseppe ProfitiBiodec SrlVerified email at biodec.com
Damiano PiovesanAssistant professor at University of PaduaVerified email at unipd.it
Anders KroghDepartment of Computer Science and Center for Health Data Science, University of CopenhagenVerified email at di.ku.dk
Michele FinelliVerified email at biodec.com
Chris SanderDana-Farber Cancer Institute, Harvard Medical School, Broad Institute, Memorial Sloan KetteringVerified email at sanderlab.org
Nir Ben-TalProfessor of Biochemistry and Molecular Biology, The George S. Wise Faculty of Life Sciences, TelVerified email at ashtoret.tau.ac.il
Gianluca PollastriAssociate Professor, University College DublinVerified email at ucd.ie
Giovanni BiroloPostDoc, University of TurinVerified email at unito.it
Pierre BaldiProfessor, University of California, IrvineVerified email at ics.uci.edu
Tiziana SanaviaDepartment of Medical Sciences, University of TorinoVerified email at unito.it

Piero Fariselli

Dept. of Medical Sciences, University of Torino, Italy

Verified email at unito.it

Bioinformatics Computational Biophysics Machine Learning Nature Photography


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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	1336	2005
Topology prediction for helical transmembrane proteins at 86% accuracy–Topology prediction at 86% accuracy B Rost, P Fariselli, R Casadio Protein Science 5 (8), 1704-1718, 1996	795	1996
Transmembrane helices predicted at 95% accuracy B Rost, C Sander, R Casadio, P Fariselli Protein Science 4 (3), 521-533, 1995	670	1995
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	582	2009
ConSeq: the identification of functionally and structurally important residues in protein sequences C Berezin, F Glaser, J Rosenberg, I Paz, T Pupko, P Fariselli, R Casadio, ... Bioinformatics 20 (8), 1322-1324, 2004	434	2004
Prediction of protein–protein interaction sites in heterocomplexes with neural networks P Fariselli, F Pazos, A Valencia, R Casadio European Journal of Biochemistry 269 (5), 1356-1361, 2002	349	2002
BaCelLo: a balanced subcellular localization predictor A Pierleoni, PL Martelli, P Fariselli, R Casadio Bioinformatics 22 (14), e408-e416, 2006	348	2006
Prediction of coordination number and relative solvent accessibility in proteins G Pollastri, P Baldi, P Fariselli, R Casadio Proteins: Structure, Function, and Bioinformatics 47 (2), 142-153, 2002	301	2002
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	287	2008
Prediction of contact maps with neural networks and correlated mutations P Fariselli, O Olmea, A Valencia, R Casadio Protein engineering 14 (11), 835-843, 2001	269	2001
The implications of alternative splicing in the ENCODE protein complement ML Tress, PL Martelli, A Frankish, GA Reeves, JJ Wesselink, C Yeats, ... Proceedings of the National Academy of Sciences 104 (13), 5495-5500, 2007	235	2007
A sequence-profile-based HMM for predicting and discriminating β barrel membrane proteins PL Martelli, P Fariselli, A Krogh, R Casadio Bioinformatics 18 (suppl_1), S46-S53, 2002	230	2002
A neural network based predictor of residue contacts in proteins P Fariselli, R Casadio Protein engineering 12 (1), 15-21, 1999	222	1999
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	209	2004
Prediction of helical transmembrane segments at 95% accuracy B Rost, R Casadio, P Fariselli, C Sander	200	1995
Role of evolutionary information in predicting the disulfide‐bonding state of cysteine in proteins P Fariselli, P Riccobelli, R Casadio Proteins: Structure, Function, and Bioinformatics 36 (3), 340-346, 1999	190	1999
Progress and challenges in predicting protein–protein interaction sites I Ezkurdia, L Bartoli, P Fariselli, R Casadio, A Valencia, ML Tress Briefings in bioinformatics 10 (3), 233-246, 2009	186	2009
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 (3), 1-7, 2013	184	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	182	2005
Prediction of disulfide connectivity in proteins P Fariselli, R Casadio Bioinformatics 17 (10), 957-964, 2001	150	2001

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