Gianluca Pollastri
Gianluca Pollastri
Associate Professor, University College Dublin
Vahvistettu sähköpostiosoite verkkotunnuksessa ucd.ie
Nimike
Viittaukset
Viittaukset
Vuosi
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles
G Pollastri, D Przybylski, B Rost, P Baldi
Proteins: Structure, Function, and Bioinformatics 47 (2), 228-235, 2002
8982002
Exploiting the past and the future in protein secondary structure prediction
P Baldi, S Brunak, P Frasconi, G Soda, G Pollastri
Bioinformatics 15 (11), 937-946, 1999
5801999
Porter: a new, accurate server for protein secondary structure prediction
G Pollastri, A McLysaght
Bioinformatics 21 (8), 1719-1720, 2005
5382005
Deep architectures and deep learning in chemoinformatics: the prediction of aqueous solubility for drug-like molecules
A Lusci, G Pollastri, P Baldi
Journal of chemical information and modeling 53 (7), 1563-1575, 2013
3572013
Prediction of coordination number and relative solvent accessibility in proteins
G Pollastri, P Baldi, P Fariselli, R Casadio
Proteins: Structure, Function, and Bioinformatics 47 (2), 142-153, 2002
2992002
The principled design of large-scale recursive neural network architectures--dag-rnns and the protein structure prediction problem
P Baldi, G Pollastri
The Journal of Machine Learning Research 4, 575-602, 2003
2322003
Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners
G Pollastri, P Baldi
Bioinformatics 18 (suppl_1), S62-S70, 2002
1842002
Towards the improved discovery and design of functional peptides: common features of diverse classes permit generalized prediction of bioactivity
C Mooney, NJ Haslam, G Pollastri, DC Shields
PloS one 7 (10), e45012, 2012
1802012
Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines
A Vullo, O Bortolami, G Pollastri, SCE Tosatto
Nucleic acids research 34 (suppl_2), W164-W168, 2006
1452006
A neural network approach to ordinal regression
J Cheng, Z Wang, G Pollastri
2008 IEEE international joint conference on neural networks (IEEE world …, 2008
1442008
Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information
G Pollastri, AJM Martin, C Mooney, A Vullo
BMC bioinformatics 8 (1), 1-12, 2007
1442007
A two-stage approach for improved prediction of residue contact maps
A Vullo, I Walsh, G Pollastri
BMC bioinformatics 7 (1), 1-12, 2006
1042006
Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility
C Mirabello, G Pollastri
Bioinformatics 29 (16), 2056-2058, 2013
992013
Distill: a suite of web servers for the prediction of one-, two-and three-dimensional structural features of proteins
D Baú, AJM Martin, C Mooney, A Vullo, I Walsh, G Pollastri
BMC bioinformatics 7 (1), 1-8, 2006
952006
Bidirectional dynamics for protein secondary structure prediction
P Baldi, S Brunak, P Frasconi, G Pollastri, G Soda
Sequence Learning, 80-104, 2000
912000
CSpritz: accurate prediction of protein disorder segments with annotation for homology, secondary structure and linear motifs
I Walsh, AJM Martin, T Di Domenico, A Vullo, G Pollastri, SCE Tosatto
Nucleic acids research 39 (suppl_2), W190-W196, 2011
892011
CPPpred: prediction of cell penetrating peptides
TA Holton, G Pollastri, DC Shields, C Mooney
Bioinformatics 29 (23), 3094-3096, 2013
882013
Matching protein beta-sheet partners by feedforward and recurrent neural networks
P Baldi, G Pollastri, CA Andersen, S Brunak
Proceedings of the 2000 Conference on Intelligent Systems for Molecular …, 2000
752000
Prediction of short linear protein binding regions
C Mooney, G Pollastri, DC Shields, NJ Haslam
Journal of molecular biology 415 (1), 193-204, 2012
722012
Improved prediction of the number of residue contacts in proteins by recurrent neural networks
G Pollastri, P Baldi, P Fariselli, R Casadio
Bioinformatics 17 (suppl_1), S234-S242, 2001
702001
Järjestelmä ei voi suorittaa toimenpidettä nyt. Yritä myöhemmin uudelleen.
Artikkelit 1–20