Compiani M - Search Results

1

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: compiani m. Eur Biophys J. 1996;24(3):165-78. doi: 10.1007/BF00180274. Eur Biophys J. 1996. PMID: 8852561

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: compiani m. 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: compiani m. 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. Among authors: compiani m. Eur Biophys J. 1993;22(1):41-51. doi: 10.1007/BF00205811. Eur Biophys J. 1993. PMID: 8513752

5

A data base of minimally frustrated alpha helical segments extracted from proteins according to an entropy criterion.

Casadio R, Compiani M, Fariselli P, Martelli PL. Casadio R, et al. Among authors: compiani m. Proc Int Conf Intell Syst Mol Biol. 1999:68-76. Proc Int Conf Intell Syst Mol Biol. 1999. PMID: 10786288

6

Predictions of protein segments with the same aminoacid sequence and different secondary structure: a benchmark for predictive methods.

Jacoboni I, Martelli PL, Fariselli P, Compiani M, Casadio R. Jacoboni I, et al. Among authors: compiani m. Proteins. 2000 Dec 1;41(4):535-44. doi: 10.1002/1097-0134(20001201)41:4<535::aid-prot100>3.0.co;2-c. Proteins. 2000. PMID: 11056040

7

An entropy criterion to detect minimally frustrated intermediates in native proteins.

Compiani M, Fariselli P, Martelli PL, Casadio R. Compiani M, et al. Proc Natl Acad Sci U S A. 1998 Aug 4;95(16):9290-4. doi: 10.1073/pnas.95.16.9290. Proc Natl Acad Sci U S A. 1998. PMID: 9689073 Free PMC article.

8

Neural networks predict protein folding and structure: artificial intelligence faces biomolecular complexity.

Casadio R, Compiani M, Fariselli P, Jacoboni I, Martelli PL. Casadio R, et al. Among authors: compiani m. SAR QSAR Environ Res. 2000;11(2):149-82. doi: 10.1080/10629360008039120. SAR QSAR Environ Res. 2000. PMID: 10877475

9

Protein structure prediction and biomolecular recognition: from protein sequence to peptidomimetic design with the human beta3 integrin.

Casadio R, Compiani M, Facchiano A, Fariselli P, Martelli P, Jacoboni I, Rossi I. Casadio R, et al. Among authors: compiani m. SAR QSAR Environ Res. 2002 May-Jun;13(3-4):473-86. doi: 10.1080/10629360290015961. SAR QSAR Environ Res. 2002. PMID: 12184388

10

Dynamics of the minimally frustrated helices determine the hierarchical folding of small helical proteins.

Compiani M, Capriotti E, Casadio R. Compiani M, et al. Phys Rev E Stat Nonlin Soft Matter Phys. 2004 May;69(5 Pt 1):051905. doi: 10.1103/PhysRevE.69.051905. Epub 2004 May 12. Phys Rev E Stat Nonlin Soft Matter Phys. 2004. PMID: 15244845

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