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A neural-network-based method for predicting protein stability changes upon single point mutations.
Capriotti E, Fariselli P, Casadio R. Capriotti E, et al. Among authors: fariselli p. Bioinformatics. 2004 Aug 4;20 Suppl 1:i63-8. doi: 10.1093/bioinformatics/bth928. Bioinformatics. 2004. PMID: 15262782
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
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
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
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
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 …
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
Self-organizing neural maps of the coding sequences of G-protein-coupled receptors reveal local domains associated with potentially functional determinants in the proteins.
Arrigo P, Fariselli P, Casadio R. Arrigo P, et al. Among authors: fariselli p. Proc Int Conf Intell Syst Mol Biol. 1997;5:44-7. Proc Int Conf Intell Syst Mol Biol. 1997. PMID: 9322013
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
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
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