Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Filters

P Fariselli

Showing results (11-20 of 33) with videos related to

Pageof 4
Sort By:
European Biophysics Journal : EBJ|January 1, 1993
Predicting secondary structures of membrane proteins with neural networksP Fariselli, M Compiani, R Casadio
Proteins|July 20, 1999
Role of evolutionary information in predicting the disulfide-bonding state of cysteine in proteinsP Fariselli, P Riccobelli, R Casadio
Protein Engineering|December 14, 2001
Prediction of contact maps with neural networks and correlated mutationsP Fariselli, O Olmea, A Valencia, et al.
Protein Science : a Publication of the Protein Society|July 28, 1999
Quantum mechanical analysis of oxygenated and deoxygenated states of hemocyanin: theoretical clues for a plausible allosteric model of oxygen bindingP Fariselli, A Bottoni, F Bernardi, et al.
European Biophysics Journal : EBJ|January 1, 1996
A predictor of transmembrane alpha-helix domains of proteins based on neural networksR Casadio, P Fariselli, C Taroni, et al.
Protein Science : a Publication of the Protein Society|March 1, 1995
Transmembrane helices predicted at 95% accuracyB Rost, R Casadio, P Fariselli, et al.
Bioinformatics (Oxford, England)|July 27, 2001
Improved prediction of the number of residue contacts in proteins by recurrent neural networksG Pollastri, P Baldi, P Fariselli, et al.
Proceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1995
Predicting free energy contributions to the conformational stability of folded proteins from the residue sequence with radial basis function networksR Casadio, M Compiani, P Fariselli, et al.
Proteins|February 9, 2002
Progress in predicting inter-residue contacts of proteins with neural networks and correlated mutationsP Fariselli, O Olmea, A Valencia, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 5, 1998
An entropy criterion to detect minimally frustrated intermediates in native proteinsM Compiani, P Fariselli, P L Martelli, et al.
Pageof 4

Showing results (11-20 of 33) with videos related to

Sort By:
Pageof 4
European Biophysics Journal : EBJ|January 1, 1993
Predicting secondary structures of membrane proteins with neural networksP Fariselli, M Compiani, R Casadio
Proteins|July 20, 1999
Role of evolutionary information in predicting the disulfide-bonding state of cysteine in proteinsP Fariselli, P Riccobelli, R Casadio
Protein Engineering|December 14, 2001
Prediction of contact maps with neural networks and correlated mutationsP Fariselli, O Olmea, A Valencia, et al.
Protein Science : a Publication of the Protein Society|July 28, 1999
Quantum mechanical analysis of oxygenated and deoxygenated states of hemocyanin: theoretical clues for a plausible allosteric model of oxygen bindingP Fariselli, A Bottoni, F Bernardi, et al.
European Biophysics Journal : EBJ|January 1, 1996
A predictor of transmembrane alpha-helix domains of proteins based on neural networksR Casadio, P Fariselli, C Taroni, et al.
Protein Science : a Publication of the Protein Society|March 1, 1995
Transmembrane helices predicted at 95% accuracyB Rost, R Casadio, P Fariselli, et al.
Bioinformatics (Oxford, England)|July 27, 2001
Improved prediction of the number of residue contacts in proteins by recurrent neural networksG Pollastri, P Baldi, P Fariselli, et al.
Proceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1995
Predicting free energy contributions to the conformational stability of folded proteins from the residue sequence with radial basis function networksR Casadio, M Compiani, P Fariselli, et al.
Proteins|February 9, 2002
Progress in predicting inter-residue contacts of proteins with neural networks and correlated mutationsP Fariselli, O Olmea, A Valencia, et al.
Proceedings of the National Academy of Sciences of the United States of America|August 5, 1998
An entropy criterion to detect minimally frustrated intermediates in native proteinsM Compiani, P Fariselli, P L Martelli, et al.
Pageof 4