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Results: 1 to 20 of 51

1.

Reconstructing protein structures by neural network pairwise interaction fields and iterative decoy set construction.

Mirabello C, Adelfio A, Pollastri G.

Biomolecules. 2014 Feb 10;4(1):160-80. doi: 10.3390/biom4010160.

2.

Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks.

Kukic P, Mirabello C, Tradigo G, Walsh I, Veltri P, Pollastri G.

BMC Bioinformatics. 2014 Jan 10;15:6. doi: 10.1186/1471-2105-15-6.

3.

SCLpredT: Ab initio and homology-based prediction of subcellular localization by N-to-1 neural networks.

Adelfio A, Volpato V, Pollastri G.

Springerplus. 2013 Oct 3;2:502. doi: 10.1186/2193-1801-2-502. eCollection 2013.

4.

CPPpred: prediction of cell penetrating peptides.

Holton TA, Pollastri G, Shields DC, Mooney C.

Bioinformatics. 2013 Dec 1;29(23):3094-6. doi: 10.1093/bioinformatics/btt518. Epub 2013 Sep 23.

5.

Predicting binding within disordered protein regions to structurally characterised peptide-binding domains.

Khan W, Duffy F, Pollastri G, Shields DC, Mooney C.

PLoS One. 2013 Sep 3;8(9):e72838. doi: 10.1371/journal.pone.0072838. eCollection 2013.

6.

Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules.

Lusci A, Pollastri G, Baldi P.

J Chem Inf Model. 2013 Jul 22;53(7):1563-75. doi: 10.1021/ci400187y. Epub 2013 Jul 2.

7.

Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility.

Mirabello C, Pollastri G.

Bioinformatics. 2013 Aug 15;29(16):2056-8. doi: 10.1093/bioinformatics/btt344. Epub 2013 Jun 14.

8.

SCL-Epred: a generalised de novo eukaryotic protein subcellular localisation predictor.

Mooney C, Cessieux A, Shields DC, Pollastri G.

Amino Acids. 2013 Aug;45(2):291-9. doi: 10.1007/s00726-013-1491-3. Epub 2013 Apr 9.

PMID:
23568340
9.

[Prevalence of degenerative aortic valve stenosis in the elderly: results of a large community-based epidemiological study].

Bordoni B, Saia F, Ciuca C, Marrozzini C, Santoro M, Dall'Ara G, Anderlucci L, Montefiori M, Moretti C, Alberti A, Bragagni G, Montori C, Pollastri G, Cocchi D, Marzocchi A; Ricercatori dello Studio ELISA.

G Ital Cardiol (Rome). 2013 Apr;14(4):262-8. doi: 10.1714/1257.13881. Italian.

PMID:
23567767
10.

PeptideLocator: prediction of bioactive peptides in protein sequences.

Mooney C, Haslam NJ, Holton TA, Pollastri G, Shields DC.

Bioinformatics. 2013 May 1;29(9):1120-6. doi: 10.1093/bioinformatics/btt103. Epub 2013 Mar 16.

11.

Accurate prediction of protein enzymatic class by N-to-1 Neural Networks.

Volpato V, Adelfio A, Pollastri G.

BMC Bioinformatics. 2013;14 Suppl 1:S11. doi: 10.1186/1471-2105-14-S1-S11. Epub 2013 Jan 14.

12.

How to improve retromandibular transmasseteric anteroparotid approach for mandibular condylar fractures: our clinical experience.

Salgarelli AC, Anesi A, Bellini P, Pollastri G, Tanza D, Barberini S, Chiarini L.

Int J Oral Maxillofac Surg. 2013 Apr;42(4):464-9. doi: 10.1016/j.ijom.2012.12.012. Epub 2013 Feb 8.

PMID:
23395651
13.

Towards the improved discovery and design of functional peptides: common features of diverse classes permit generalized prediction of bioactivity.

Mooney C, Haslam NJ, Pollastri G, Shields DC.

PLoS One. 2012;7(10):e45012. doi: 10.1371/journal.pone.0045012. Epub 2012 Oct 8.

14.

Prediction of short linear protein binding regions.

Mooney C, Pollastri G, Shields DC, Haslam NJ.

J Mol Biol. 2012 Jan 6;415(1):193-204. doi: 10.1016/j.jmb.2011.10.025. Epub 2011 Oct 21.

PMID:
22079048
15.

SCLpred: protein subcellular localization prediction by N-to-1 neural networks.

Mooney C, Wang YH, Pollastri G.

Bioinformatics. 2011 Oct 15;27(20):2812-9. doi: 10.1093/bioinformatics/btr494. Epub 2011 Aug 27.

16.

Neural network pairwise interaction fields for protein model quality assessment and ab initio protein folding.

Martin AJ, Mirabello C, Pollastri G.

Curr Protein Pept Sci. 2011 Sep;12(6):549-62.

PMID:
21787307
17.

In silico protein motif discovery and structural analysis.

Mooney C, Davey N, Martin AJ, Walsh I, Shields DC, Pollastri G.

Methods Mol Biol. 2011;760:341-53. doi: 10.1007/978-1-61779-176-5_21.

PMID:
21780007
18.

CSpritz: accurate prediction of protein disorder segments with annotation for homology, secondary structure and linear motifs.

Walsh I, Martin AJ, Di Domenico T, Vullo A, Pollastri G, Tosatto SC.

Nucleic Acids Res. 2011 Jul;39(Web Server issue):W190-6. doi: 10.1093/nar/gkr411. Epub 2011 Jun 6.

19.

Improving the analysis of NMR spectra tracking pH-induced conformational changes: removing artefacts of the electric field on the NMR chemical shift.

Kukić P, Farrell D, Søndergaard CR, Bjarnadottir U, Bradley J, Pollastri G, Nielsen JE.

Proteins. 2010 Mar;78(4):971-84. doi: 10.1002/prot.22621.

PMID:
19894279
20.

Structural artifacts in protein-ligand X-ray structures: implications for the development of docking scoring functions.

Søndergaard CR, Garrett AE, Carstensen T, Pollastri G, Nielsen JE.

J Med Chem. 2009 Sep 24;52(18):5673-84. doi: 10.1021/jm8016464.

PMID:
19711919
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