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P Fariselli

Showing results (21-30 of 33) with videos related to

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Proceedings. International Conference on Intelligent Systems for Molecular Biology|April 29, 2000
A data base of minimally frustrated alpha helical segments extracted from proteins according to an entropy criterionR Casadio, M Compiani, P Fariselli, et al.
Biochimica Et Biophysica Acta|July 6, 1995
Characterization of 9-aminoacridine interaction with chromatophore membranes and modelling of the probe response to artificially induced transmembrane delta pH valuesR Casadio, S Di Bernardo, P Fariselli, et al.
Biochemical and Biophysical Research Communications|September 14, 1995
The effect of membranes on the conformation of neuromedin CE Polverini, P Neyroz, P Fariselli, et al.
FEBS Letters|May 23, 1998
A high diffusion coefficient for coenzyme Q10 might be related to a folded structureS Di Bernardo, R Fato, R Casadio, et al.
Current Protein & Peptide Science|October 5, 2010
The prediction of protein-protein interacting sites in genome-wide protein interaction networks: the test case of the human cell cycleL Bartoli, P L Martelli, I Rossi, et al.
SAR and QSAR in Environmental Research|July 6, 2000
Neural networks predict protein folding and structure: artificial intelligence faces biomolecular complexityR Casadio, M Compiani, P Fariselli, et al.
Proteins|October 31, 2000
Predictions of protein segments with the same aminoacid sequence and different secondary structure: a benchmark for predictive methodsI Jacoboni, P L Martelli, P Fariselli, et al.
Proteins|February 11, 2003
A neural network approach to evaluate fold recognition resultsD Juan, O Graña, F Pazos, et al.
Protein Science : a Publication of the Protein Society|March 29, 2001
Prediction of the transmembrane regions of beta-barrel membrane proteins with a neural network-based predictorI Jacoboni, P L Martelli, P Fariselli, et al.
SAR and QSAR in Environmental Research|August 20, 2002
Protein structure prediction and biomolecular recognition: from protein sequence to peptidomimetic design with the human beta3 integrinR Casadio, M Compiani, A Facchiano, et al.
Pageof 4

Showing results (21-30 of 33) with videos related to

Sort By:
Pageof 4
Proceedings. International Conference on Intelligent Systems for Molecular Biology|April 29, 2000
A data base of minimally frustrated alpha helical segments extracted from proteins according to an entropy criterionR Casadio, M Compiani, P Fariselli, et al.
Biochimica Et Biophysica Acta|July 6, 1995
Characterization of 9-aminoacridine interaction with chromatophore membranes and modelling of the probe response to artificially induced transmembrane delta pH valuesR Casadio, S Di Bernardo, P Fariselli, et al.
Biochemical and Biophysical Research Communications|September 14, 1995
The effect of membranes on the conformation of neuromedin CE Polverini, P Neyroz, P Fariselli, et al.
FEBS Letters|May 23, 1998
A high diffusion coefficient for coenzyme Q10 might be related to a folded structureS Di Bernardo, R Fato, R Casadio, et al.
Current Protein & Peptide Science|October 5, 2010
The prediction of protein-protein interacting sites in genome-wide protein interaction networks: the test case of the human cell cycleL Bartoli, P L Martelli, I Rossi, et al.
SAR and QSAR in Environmental Research|July 6, 2000
Neural networks predict protein folding and structure: artificial intelligence faces biomolecular complexityR Casadio, M Compiani, P Fariselli, et al.
Proteins|October 31, 2000
Predictions of protein segments with the same aminoacid sequence and different secondary structure: a benchmark for predictive methodsI Jacoboni, P L Martelli, P Fariselli, et al.
Proteins|February 11, 2003
A neural network approach to evaluate fold recognition resultsD Juan, O Graña, F Pazos, et al.
Protein Science : a Publication of the Protein Society|March 29, 2001
Prediction of the transmembrane regions of beta-barrel membrane proteins with a neural network-based predictorI Jacoboni, P L Martelli, P Fariselli, et al.
SAR and QSAR in Environmental Research|August 20, 2002
Protein structure prediction and biomolecular recognition: from protein sequence to peptidomimetic design with the human beta3 integrinR Casadio, M Compiani, A Facchiano, et al.
Pageof 4