Prati
Gianluca Pollastri
Gianluca Pollastri
Associate Professor, University College Dublin
Potvrđena adresa e-pošte na ucd.ie
Naslov
Citirano
Citirano
Godina
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
10012002
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
6841999
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
6102013
Porter: a new, accurate server for protein secondary structure prediction
G Pollastri, A McLysaght
Bioinformatics 21 (8), 1719-1720, 2005
5902005
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
Public Library of Science 7 (10), e45012, 2012
4092012
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
3172002
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
2712003
A neural network approach to ordinal regression
J Cheng, Z Wang, G Pollastri
2008 IEEE international joint conference on neural networks (IEEE world …, 2008
2662008
Deep learning methods in protein structure prediction
M Torrisi, G Pollastri, Q Le
Computational and Structural Biotechnology Journal 18, 1301-1310, 2020
2622020
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
2002002
DOME: Recommendations for supervised machine learning validation in biology
I Walsh, D Fishman, D Garcia-Gasulla, T Titma, G Pollastri, J Harrow, ...
Nature Methods, 1-6, 2021
166*2021
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
1622006
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, 1-12, 2007
1552007
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
1462013
CPPpred: prediction of cell penetrating peptides
TA Holton, G Pollastri, DC Shields, C Mooney
Bioinformatics 29 (23), 3094-3096, 2013
1432013
A two-stage approach for improved prediction of residue contact maps
A Vullo, I Walsh, G Pollastri
BMC bioinformatics 7, 1-12, 2006
1152006
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, 1-8, 2006
1122006
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
1082011
Bidirectional dynamics for protein secondary structure prediction
P Baldi, S Brunak, P Frasconi, G Pollastri, G Soda
Sequence Learning: Paradigms, Algorithms, and Applications, 80-104, 2001
902001
Prediction of short linear protein binding regions
C Mooney, G Pollastri, DC Shields, NJ Haslam
Journal of molecular biology 415 (1), 193-204, 2012
862012
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