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Gianluca Pollastri
Gianluca Pollastri
Associate Professor, University College Dublin
Verified email at ucd.ie
Title
Cited by
Cited by
Year
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
9952002
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
6771999
Porter: a new, accurate server for protein secondary structure prediction
G Pollastri, A McLysaght
Bioinformatics 21 (8), 1719-1720, 2005
5922005
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
5812013
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
3782012
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
3162002
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
2642003
A neural network approach to ordinal regression
J Cheng, Z Wang, G Pollastri
2008 IEEE international joint conference on neural networks (IEEE world …, 2008
2592008
Deep learning methods in protein structure prediction
M Torrisi, G Pollastri, Q Le
Computational and Structural Biotechnology Journal 18, 1301-1310, 2020
2362020
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
2012002
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
1612006
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
1582007
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
1512013
CPPpred: prediction of cell penetrating peptides
TA Holton, G Pollastri, DC Shields, C Mooney
Bioinformatics 29 (23), 3094-3096, 2013
1412013
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
132*2021
A two-stage approach for improved prediction of residue contact maps
A Vullo, I Walsh, G Pollastri
BMC bioinformatics 7, 1-12, 2006
1162006
Distill: a suite of web servers for the prediction of one-, two-and three-dimensional structural features of proteins
D Baś, AJM Martin, C Mooney, A Vullo, I Walsh, G Pollastri
BMC bioinformatics 7, 1-8, 2006
1112006
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
1092011
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
932001
Prediction of short linear protein binding regions
C Mooney, G Pollastri, DC Shields, NJ Haslam
Journal of molecular biology 415 (1), 193-204, 2012
852012
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