Gianluca Pollastri

Publication Activity (10 Years)

Years Active: 1999-2020
Publications (10 Years): 4

Top Topics

Protein Sequences

Top Venues

Briefings Bioinform.

J. Chem. Inf. Model.

Publications

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) (2020)
Mirko Torrisi, Gianluca Pollastri
Brewery: deep learning and deeper profiles for the prediction of 1D protein structure annotations. Bioinform. 36 (12) (2020)
Ian Walsh, Gianluca Pollastri, Silvio C. E. Tosatto
Correct machine learning on protein sequences: a peer-reviewing perspective. Briefings Bioinform. 17 (5) (2016)
Giuseppe Tradigo, Francesca Cristiano, Stefano Alcaro, Sergio Greco, Gianluca Pollastri, Pierangelo Veltri, Mattia C. F. Prosperi
G-quadruplex Structure Prediction and integration in the GenData2020 data model. BCB (2016)
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 (2014)
Thérèse A. Holton, Gianluca Pollastri, Denis C. Shields, Catherine Mooney
CPPpred: prediction of cell penetrating peptides. Bioinform. 29 (23) (2013)
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) (2013)
Viola Volpato, Alessandro Adelfio, Gianluca Pollastri
Accurate prediction of protein enzymatic class by N-to-1 Neural Networks. BMC Bioinform. 14 (S-1) (2013)
Catherine Mooney, Niall J. Haslam, Thérèse A. Holton, Gianluca Pollastri, Denis C. Shields
PeptideLocator: prediction of bioactive peptides in protein sequences. Bioinform. 29 (9) (2013)
Claudio Mirabello, Gianluca Pollastri
Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility. Bioinform. 29 (16) (2013)
Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri
SCLpred: protein subcellular localization prediction by N-to-1 neural networks. Bioinform. 27 (20) (2011)
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) (2011)
Giuseppe Tradigo, Pierangelo Veltri, Gianluca Pollastri
Machine Learning Approaches for Contact Maps Prediction in CASP9 Experiment. SEBD (2011)
Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri
De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks. CIBB (2010)
Ian Walsh, Alessandro Vullo, Gianluca Pollastri
An adaptive model for learning molecular endpoints. Similarity-based learning on structures (2009)
Ian Walsh, Alessandro Vullo, Gianluca Pollastri
Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints. PRIB (2009)
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)
Alberto J. M. Martin, Alessandro Vullo, Gianluca Pollastri
Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment. LION (2009)
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)
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) (2008)
Jianlin Cheng, Zheng Wang, Gianluca Pollastri
A neural network approach to ordinal regression. IJCNN (2008)
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)
Gianluca Pollastri, Alessandro Vullo, Paolo Frasconi, Pierre Baldi
Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. J. Comput. Biol. 13 (3) (2006)
Alessandro Vullo, Ian Walsh, Gianluca Pollastri
A two-stage approach for improved prediction of residue contact maps. BMC Bioinform. 7 (2006)
Catherine Mooney, Alessandro Vullo, Gianluca Pollastri
Space Leads to Improved Secondary Structure Prediction. J. Comput. Biol. 13 (8) (2006)
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) (2006)
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 (2006)
Gianluca Pollastri, Aoife McLysaght
Porter: a new, accurate server for protein secondary structure prediction. Bioinform. 21 (8) (2005)
Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri
Learning protein secondary structure from sequential and relational data. Neural Networks 18 (8) (2005)
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) (2004)
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 (2004)
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 (2003)
Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi
Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS (2002)
Gianluca Pollastri, Pierre Baldi
Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners. ISMB (2002)
Pierre Baldi, Gianluca Pollastri
A Machine-Learning Strategy for Protein Analysis. IEEE Intell. Syst. 17 (2) (2002)
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)
Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda
Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning (2001)
Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak
Matching Protein b-Sheet Partners by Feedforward and Recurrent Neural Networks. ISMB (2000)
Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak
Protein β-Sheet Partner Prediction by Neural Networks. ANNIMAB (2000)
Pierre Baldi, Søren Brunak, Paolo Frasconi, Giovanni Soda, Gianluca Pollastri
Exploiting the past and the future in protein secondary structure prediction. Bioinform. 15 (11) (1999)