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P Fariselli

Showing results (1-10 of 33) with videos related to

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Computer Applications in the Biosciences : CABIOS|February 1, 1996
HTP: a neural network-based method for predicting the topology of helical transmembrane domains in proteinsP Fariselli, R Casadio
Protein Engineering|March 5, 1999
A neural network based predictor of residue contacts in proteinsP Fariselli, R Casadio
Bioinformatics (Oxford, England)|March 10, 2001
RCNPRED: prediction of the residue co-ordination numbers in proteinsP Fariselli, R Casadio
Proceedings. International Conference on Intelligent Systems for Molecular Biology|September 8, 2000
Prediction of the number of residue contacts in proteinsP Fariselli, R Casadio
Bioinformatics (Oxford, England)|October 24, 2001
Prediction of disulfide connectivity in proteinsP Fariselli, R Casadio
Proceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1997
Self-organizing neural maps of the coding sequences of G-protein-coupled receptors reveal local domains associated with potentially functional determinants in the proteinsP Arrigo, P Fariselli, R Casadio
Gene|December 16, 1998
Can functional regions of proteins be predicted from their coding sequences? The case study of G-protein coupled receptorsP Arrigo, P Fariselli, R Casadio
Proceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1996
Refining neural network predictions for helical transmembrane proteins by dynamic programmingB Rost, R Casadio, P Fariselli
Protein Science : a Publication of the Protein Society|August 1, 1996
Topology prediction for helical transmembrane proteins at 86% accuracyB Rost, P Fariselli, R Casadio
Physical Biology|January 11, 2008
The effect of backbone on the small-world properties of protein contact mapsL Bartoli, P Fariselli, R Casadio
Pageof 4

Showing results (1-10 of 33) with videos related to

Sort By:
Pageof 4
Computer Applications in the Biosciences : CABIOS|February 1, 1996
HTP: a neural network-based method for predicting the topology of helical transmembrane domains in proteinsP Fariselli, R Casadio
Protein Engineering|March 5, 1999
A neural network based predictor of residue contacts in proteinsP Fariselli, R Casadio
Bioinformatics (Oxford, England)|March 10, 2001
RCNPRED: prediction of the residue co-ordination numbers in proteinsP Fariselli, R Casadio
Proceedings. International Conference on Intelligent Systems for Molecular Biology|September 8, 2000
Prediction of the number of residue contacts in proteinsP Fariselli, R Casadio
Bioinformatics (Oxford, England)|October 24, 2001
Prediction of disulfide connectivity in proteinsP Fariselli, R Casadio
Proceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1997
Self-organizing neural maps of the coding sequences of G-protein-coupled receptors reveal local domains associated with potentially functional determinants in the proteinsP Arrigo, P Fariselli, R Casadio
Gene|December 16, 1998
Can functional regions of proteins be predicted from their coding sequences? The case study of G-protein coupled receptorsP Arrigo, P Fariselli, R Casadio
Proceedings. International Conference on Intelligent Systems for Molecular Biology|January 1, 1996
Refining neural network predictions for helical transmembrane proteins by dynamic programmingB Rost, R Casadio, P Fariselli
Protein Science : a Publication of the Protein Society|August 1, 1996
Topology prediction for helical transmembrane proteins at 86% accuracyB Rost, P Fariselli, R Casadio
Physical Biology|January 11, 2008
The effect of backbone on the small-world properties of protein contact mapsL Bartoli, P Fariselli, R Casadio
Pageof 4