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ORCIDGianluca Pollastri
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2020 – today
- 2020
[j26]Manaz Kaleel
, Yandan Zheng, Jialiang Chen, Xuanming Feng, Jeremy C. Simpson, Gianluca Pollastri, Catherine Mooney:
SCLpred-EMS: subcellular localization prediction of endomembrane system and secretory pathway proteins by Deep N-to-1 Convolutional Neural Networks. Bioinform. 36(11): 3343-3349 (2020)- [j25]Mirko Torrisi, Gianluca Pollastri:
Brewery: deep learning and deeper profiles for the prediction of 1D protein structure annotations. Bioinform. 36(12): 3897-3898 (2020)
2010 – 2019
- 2019
- [r2]Giuseppe Tradigo, Francesca Rondinelli, Gianluca Pollastri:
Algorithms for Structure Comparison and Analysis: Prediction of Tertiary Structures of Proteins. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 32-37 - [r1]Giuseppe Tradigo, Francesca Rondinelli, Gianluca Pollastri:
Algorithms for Structure Comparison and Analysis: Docking. Encyclopedia of Bioinformatics and Computational Biology (1) 2019: 77-80 - 2016
- [j24]Ian Walsh, Gianluca Pollastri, Silvio C. E. Tosatto:
Correct machine learning on protein sequences: a peer-reviewing perspective. Briefings Bioinform. 17(5): 831-840 (2016) - [c13]Giuseppe Tradigo, Francesca Cristiano, Stefano Alcaro, Sergio Greco, Gianluca Pollastri, Pierangelo Veltri, Mattia Prosperi:
G-quadruplex Structure Prediction and integration in the GenData2020 data model. BCB 2016: 663-670 - 2014
- [j23]Predrag Kukic, Claudio Mirabello, Giuseppe Tradigo, Ian Walsh, Pierangelo Veltri, Gianluca Pollastri:
Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks. BMC Bioinform. 15: 6 (2014) - 2013
- [j22]Catherine Mooney, Niall J. Haslam, Thérèse A. Holton, Gianluca Pollastri, Denis C. Shields:
PeptideLocator: prediction of bioactive peptides in protein sequences. Bioinform. 29(9): 1120-1126 (2013) - [j21]Claudio Mirabello, Gianluca Pollastri:
Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility. Bioinform. 29(16): 2056-2058 (2013) - [j20]Thérèse A. Holton, Gianluca Pollastri, Denis C. Shields, Catherine Mooney:
CPPpred: prediction of cell penetrating peptides. Bioinform. 29(23): 3094-3096 (2013) - [j19]Viola Volpato, Alessandro Adelfio, Gianluca Pollastri:
Accurate prediction of protein enzymatic class by N-to-1 Neural Networks. BMC Bioinform. 14(S-1): S11 (2013) - [j18]Alessandro Lusci, Gianluca Pollastri, Pierre Baldi:
Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules. J. Chem. Inf. Model. 53(7): 1563-1575 (2013) - 2011
- [j17]Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri:
SCLpred: protein subcellular localization prediction by N-to-1 neural networks. Bioinform. 27(20): 2812-2819 (2011) - [j16]Ian Walsh, Alberto J. M. Martin, Tomás Di Domenico, Alessandro Vullo, Gianluca Pollastri, Silvio C. E. Tosatto:
CSpritz: accurate prediction of protein disorder segments with annotation for homology, secondary structure and linear motifs. Nucleic Acids Res. 39(Web-Server-Issue): 190-196 (2011) - [c12]Giuseppe Tradigo, Pierangelo Veltri, Gianluca Pollastri:
Machine Learning Approaches for Contact Maps Prediction in CASP9 Experiment. SEBD 2011: 311-317 - 2010
- [c11]Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri:
De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks. CIBB 2010: 31-43
2000 – 2009
- 2009
- [j15]Ian Walsh, Alberto J. M. Martin, Catherine Mooney, Enrico Rubagotti, Alessandro Vullo, Gianluca Pollastri:
Ab initio and homology based prediction of protein domains by recursive neural networks. BMC Bioinform. 10 (2009) - [c10]Alberto J. M. Martin, Alessandro Vullo, Gianluca Pollastri:
Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment. LION 2009: 235-248 - [c9]Ian Walsh, Alessandro Vullo, Gianluca Pollastri:
Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints. PRIB 2009: 391-403 - [i1]Ian Walsh, Alessandro Vullo, Gianluca Pollastri:
An adaptive model for learning molecular endpoints. Similarity-based learning on structures 2009 - 2008
- [j14]Alberto J. M. Martin, Davide Baù, Alessandro Vullo, Ian Walsh, Gianluca Pollastri:
Long-Range Information and Physicality Constraints Improve predicted protein Contact Maps. J. Bioinform. Comput. Biol. 6(5): 1001-1020 (2008) - [c8]Alessandro Vullo, Andrea Passerini, Paolo Frasconi, Fabrizio Costa, Gianluca Pollastri:
On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. EvoBIO 2008: 200-211 - [c7]Jianlin Cheng, Zheng Wang, Gianluca Pollastri:
A neural network approach to ordinal regression. IJCNN 2008: 1279-1284 - 2007
- [j13]Gianluca Pollastri, Alberto J. M. Martin, Catherine Mooney, Alessandro Vullo:
Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information. BMC Bioinform. 8 (2007) - [p1]Gianluca Pollastri, Davide Baù, Alessandro Vullo:
Distill: A Machine Learning Approach to Ab Initio Protein Structure Prediction. Analysis of Biological Data: A Soft Computing Approach 2007: 153-181 - 2006
- [j12]Alessandro Vullo, Ian Walsh, Gianluca Pollastri:
A two-stage approach for improved prediction of residue contact maps. BMC Bioinform. 7: 180 (2006) - [j11]Davide Baù, Alberto J. M. Martin, Catherine Mooney, Alessandro Vullo, Ian Walsh, Gianluca Pollastri:
Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins. BMC Bioinform. 7: 402 (2006) - [j10]Gianluca Pollastri, Alessandro Vullo, Paolo Frasconi, Pierre Baldi:
Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. J. Comput. Biol. 13(3): 631-650 (2006) - [j9]Catherine Mooney, Alessandro Vullo, Gianluca Pollastri:
Protein Structural Motif Prediction in Multidimensional ø-Psi Space Leads to Improved Secondary Structure Prediction. J. Comput. Biol. 13(8): 1489-1502 (2006) - [j8]Alessandro Vullo, Oscar Bortolami, Gianluca Pollastri, Silvio C. E. Tosatto:
Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines. Nucleic Acids Res. 34(Web-Server-Issue): 164-168 (2006) - 2005
- [j7]Gianluca Pollastri, Aoife McLysaght:
Porter: a new, accurate server for protein secondary structure prediction. Bioinform. 21(8): 1719-1720 (2005) - [j6]Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri:
Learning protein secondary structure from sequential and relational data. Neural Networks 18(8): 1029-1039 (2005) - 2004
- [j5]Yimeng Dou, Pierre-François Baisnée, Gianluca Pollastri, Yann Pécout, James Nowick, Pierre Baldi:
ICBS: a database of interactions between protein chains mediated by ?-sheet formation. Bioinform. 20(16): 2767-2777 (2004) - [j4]Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi:
Combining protein secondary structure prediction models with ensemble methods of optimal complexity. Neurocomputing 56: 305-327 (2004) - 2003
- [j3]Pierre Baldi, Gianluca Pollastri:
The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem. J. Mach. Learn. Res. 4: 575-602 (2003) - 2002
- [j2]Pierre Baldi, Gianluca Pollastri:
A Machine-Learning Strategy for Protein Analysis. IEEE Intell. Syst. 17(2): 28-35 (2002) - [c6]Gianluca Pollastri, Pierre Baldi:
Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners. ISMB 2002: 62-70 - [c5]Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi:
Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS 2002: 1449-1456 - 2001
- [c4]Gianluca Pollastri, Pierre Baldi, Piero Fariselli, Rita Casadio:
Improved prediction of the number of residue contacts in proteins by recurrent neural networks. ISMB (Supplement of Bioinformatics) 2001: 234-242 - [c3]Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda:
Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning 2001: 80-104 - 2000
- [c2]Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak:
Protein β-Sheet Partner Prediction by Neural Networks. ANNIMAB 2000: 3-9 - [c1]Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak:
Matching Protein b-Sheet Partners by Feedforward and Recurrent Neural Networks. ISMB 2000: 25-36
1990 – 1999
- 1999
- [j1]Pierre Baldi, Søren Brunak, Paolo Frasconi, Giovanni Soda, Gianluca Pollastri:
Exploiting the past and the future in protein secondary structure prediction. Bioinform. 15(11): 937-946 (1999)
Coauthor Index
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