Fariselli P - Search Results

1

Predicting protein stability changes from sequences using support vector machines.

Capriotti E, Fariselli P, Calabrese R, Casadio R. Capriotti E, et al. Among authors: fariselli p. Bioinformatics. 2005 Sep 1;21 Suppl 2:ii54-8. doi: 10.1093/bioinformatics/bti1109. Bioinformatics. 2005. PMID: 16204125

2

LGANN: a parallel system combining a local genetic algorithm and neural networks for the prediction of secondary structure of proteins.

Vivarelli F, Giusti G, Villani M, Campanini R, Fariselli P, Compiani M, Casadio R. Vivarelli F, et al. Among authors: fariselli p. Comput Appl Biosci. 1995 Jun;11(3):253-60. doi: 10.1093/bioinformatics/11.3.253. Comput Appl Biosci. 1995. PMID: 7583693

3

Predicting free energy contributions to the conformational stability of folded proteins from the residue sequence with radial basis function networks.

Casadio R, Compiani M, Fariselli P, Vivarelli F. Casadio R, et al. Among authors: fariselli p. Proc Int Conf Intell Syst Mol Biol. 1995;3:81-8. Proc Int Conf Intell Syst Mol Biol. 1995. PMID: 7584470

4

Predicting secondary structures of membrane proteins with neural networks.

Fariselli P, Compiani M, Casadio R. Fariselli P, et al. Eur Biophys J. 1993;22(1):41-51. doi: 10.1007/BF00205811. Eur Biophys J. 1993. PMID: 8513752

5

HTP: a neural network-based method for predicting the topology of helical transmembrane domains in proteins.

Fariselli P, Casadio R. Fariselli P, et al. Comput Appl Biosci. 1996 Feb;12(1):41-8. doi: 10.1093/bioinformatics/12.1.41. Comput Appl Biosci. 1996. PMID: 8670618

6

Topology prediction for helical transmembrane proteins at 86% accuracy.

Rost B, Fariselli P, Casadio R. Rost B, et al. Among authors: fariselli p. Protein Sci. 1996 Aug;5(8):1704-18. doi: 10.1002/pro.5560050824. Protein Sci. 1996. PMID: 8844859 Free PMC article.

Previously, we introduced a neural network system predicting locations of transmembrane helices (HTMs) based on evolutionary profiles (PHDhtm, Rost B, Casadio R, Fariselli P, Sander C, 1995, Protein Sci 4:521-533). Here, we describe an improvement and an extension o …

Previously, we introduced a neural network system predicting locations of transmembrane helices (HTMs) based on evolutionary profiles (PHDht …

7

A predictor of transmembrane alpha-helix domains of proteins based on neural networks.

Casadio R, Fariselli P, Taroni C, Compiani M. Casadio R, et al. Among authors: fariselli p. Eur Biophys J. 1996;24(3):165-78. doi: 10.1007/BF00180274. Eur Biophys J. 1996. PMID: 8852561

8

Can functional regions of proteins be predicted from their coding sequences? The case study of G-protein coupled receptors.

Arrigo P, Fariselli P, Casadio R. Arrigo P, et al. Among authors: fariselli p. Gene. 1998 Oct 9;221(1):GC65-110. doi: 10.1016/s0378-1119(98)00220-0. Gene. 1998. PMID: 9852963

9

A neural network based predictor of residue contacts in proteins.

Fariselli P, Casadio R. Fariselli P, et al. Protein Eng. 1999 Jan;12(1):15-21. doi: 10.1093/protein/12.1.15. Protein Eng. 1999. PMID: 10065706

10

Role of evolutionary information in predicting the disulfide-bonding state of cysteine in proteins.

Fariselli P, Riccobelli P, Casadio R. Fariselli P, et al. Proteins. 1999 Aug 15;36(3):340-6. Proteins. 1999. PMID: 10409827

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