Gianluca Pollastri

45 papers A 2B 1Journal 28Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	DeepPredict: a state-of-the-art web server for protein secondary structure and relative solvent accessibility prediction. Frontiers Bioinform. Wafa Alanazi, Di Meng, Gianluca Pollastri
2025	J	`jnl`	Understanding relationships between epigenetic marks and their application to robust assignment of chromatin states. Briefings Bioinform. Leandro Murgas, Gianluca Pollastri, Erick Riquelme, Mauricio Sáez, Alberto J. M. Martin
2020	J	`jnl`	Brewery: deep learning and deeper profiles for the prediction of 1D protein structure annotations. Bioinform. Mirko Torrisi, Gianluca Pollastri
2020	J	`jnl`	SCLpred-EMS: subcellular localization prediction of endomembrane system and secretory pathway proteins by Deep N-to-1 Convolutional Neural Networks. Bioinform. Manaz Kaleel, Yandan Zheng, Jialiang Chen, Xuanming Feng, Jeremy C. Simpson, Gianluca Pollastri, Catherine Mooney
2019	—	`ch.`	Algorithms for Structure Comparison and Analysis: Docking. Encyclopedia of Bioinformatics and Computational Biology (1) Giuseppe Tradigo, Francesca Rondinelli, Gianluca Pollastri
2019	—	`ch.`	Algorithms for Structure Comparison and Analysis: Prediction of Tertiary Structures of Proteins. Encyclopedia of Bioinformatics and Computational Biology (1) Giuseppe Tradigo, Francesca Rondinelli, Gianluca Pollastri
2016	J	`jnl`	Correct machine learning on protein sequences: a peer-reviewing perspective. Briefings Bioinform. Ian Walsh, Gianluca Pollastri, Silvio C. E. Tosatto
2016	—	`conf`	G-quadruplex Structure Prediction and integration in the GenData2020 data model. BCB Giuseppe Tradigo, Francesca Cristiano, Stefano Alcaro, Sergio Greco, Gianluca Pollastri, Pierangelo Veltri, Mattia Prosperi
2014	J	`jnl`	Toward an accurate prediction of inter-residue distances in proteins using 2D recursive neural networks. BMC Bioinform. Predrag Kukic, Claudio Mirabello, Giuseppe Tradigo, Ian Walsh, Pierangelo Veltri, Gianluca Pollastri
2013	J	`jnl`	Accurate prediction of protein enzymatic class by N-to-1 Neural Networks. BMC Bioinform. Viola Volpato, Alessandro Adelfio, Gianluca Pollastri
2013	J	`jnl`	CPPpred: prediction of cell penetrating peptides. Bioinform. Thérèse A. Holton, Gianluca Pollastri, Denis C. Shields, Catherine Mooney
2013	J	`jnl`	Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules. J. Chem. Inf. Model. Alessandro Lusci, Gianluca Pollastri, Pierre Baldi
2013	J	`jnl`	PeptideLocator: prediction of bioactive peptides in protein sequences. Bioinform. Catherine Mooney, Niall J. Haslam, Thérèse A. Holton, Gianluca Pollastri, Denis C. Shields
2013	J	`jnl`	Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility. Bioinform. Claudio Mirabello, Gianluca Pollastri
2011	J	`jnl`	CSpritz: accurate prediction of protein disorder segments with annotation for homology, secondary structure and linear motifs. Nucleic Acids Res. Ian Walsh, Alberto J. M. Martin, Tomás Di Domenico, Alessandro Vullo, Gianluca Pollastri, Silvio C. E. Tosatto
2011	—	`conf`	Machine Learning Approaches for Contact Maps Prediction in CASP9 Experiment. SEBD Giuseppe Tradigo, Pierangelo Veltri, Gianluca Pollastri
2011	J	`jnl`	SCLpred: protein subcellular localization prediction by N-to-1 neural networks. Bioinform. Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri
2010	—	`conf`	De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks. CIBB Catherine Mooney, Yong-Hong Wang, Gianluca Pollastri
2009	J	`jnl`	Ab initio and homology based prediction of protein domains by recursive neural networks. BMC Bioinform. Ian Walsh, Alberto J. M. Martin, Catherine Mooney, Enrico Rubagotti, Alessandro Vullo, Gianluca Pollastri
2009	—	`conf`	An adaptive model for learning molecular endpoints. Similarity-based learning on structures Ian Walsh, Alessandro Vullo, Gianluca Pollastri
2009	—	`conf`	Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment. LION Alberto J. M. Martin, Alessandro Vullo, Gianluca Pollastri
2009	—	`conf`	Recursive Neural Networks for Undirected Graphs for Learning Molecular Endpoints. PRIB Ian Walsh, Alessandro Vullo, Gianluca Pollastri
2008	B	`conf`	A neural network approach to ordinal regression. IJCNN Jianlin Cheng, Zheng Wang, Gianluca Pollastri
2008	J	`jnl`	Long-Range Information and Physicality Constraints Improve predicted protein Contact Maps. J. Bioinform. Comput. Biol. Alberto J. M. Martin, Davide Baù, Alessandro Vullo, Ian Walsh, Gianluca Pollastri
2008	—	`conf`	On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. EvoBIO Alessandro Vullo, Andrea Passerini, Paolo Frasconi, Fabrizio Costa, Gianluca Pollastri
2007	J	`jnl`	Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information. BMC Bioinform. Gianluca Pollastri, Alberto J. M. Martin, Catherine Mooney, Alessandro Vullo
2007	—	`ch.`	Distill: A Machine Learning Approach to Ab Initio Protein Structure Prediction. Analysis of Biological Data: A Soft Computing Approach Gianluca Pollastri, Davide Baù, Alessandro Vullo
2006	J	`jnl`	A two-stage approach for improved prediction of residue contact maps. BMC Bioinform. Alessandro Vullo, Ian Walsh, Gianluca Pollastri
2006	J	`jnl`	Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins. BMC Bioinform. Davide Baù, Alberto J. M. Martin, Catherine Mooney, Alessandro Vullo, Ian Walsh, Gianluca Pollastri
2006	J	`jnl`	Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. J. Comput. Biol. Gianluca Pollastri, Alessandro Vullo, Paolo Frasconi, Pierre Baldi
2006	J	`jnl`	Protein Structural Motif Prediction in Multidimensional J. Comput. Biol. Catherine Mooney, Alessandro Vullo, Gianluca Pollastri
2006	J	`jnl`	Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines. Nucleic Acids Res. Alessandro Vullo, Oscar Bortolami, Gianluca Pollastri, Silvio C. E. Tosatto
2005	J	`jnl`	Learning protein secondary structure from sequential and relational data. Neural Networks Alessio Ceroni, Paolo Frasconi, Gianluca Pollastri
2005	J	`jnl`	Porter: a new, accurate server for protein secondary structure prediction. Bioinform. Gianluca Pollastri, Aoife McLysaght
2004	J	`jnl`	Combining protein secondary structure prediction models with ensemble methods of optimal complexity. Neurocomputing Yann Guermeur, Gianluca Pollastri, André Elisseeff, Dominique Zelus, Hélène Paugam-Moisy, Pierre Baldi
2004	J	`jnl`	ICBS: a database of interactions between protein chains mediated by ?-sheet formation. Bioinform. Yimeng Dou, Pierre-François Baisnée, Gianluca Pollastri, Yann Pécout, James Nowick, Pierre Baldi
2003	J	`jnl`	The Principled Design of Large-Scale Recursive Neural Network Architectures--DAG-RNNs and the Protein Structure Prediction Problem. J. Mach. Learn. Res. Pierre Baldi, Gianluca Pollastri
2002	J	`jnl`	A Machine-Learning Strategy for Protein Analysis. IEEE Intell. Syst. Pierre Baldi, Gianluca Pollastri
2002	—	`conf`	Prediction of Protein Topologies Using Generalized IOHMMS and RNNs. NIPS Gianluca Pollastri, Pierre Baldi, Alessandro Vullo, Paolo Frasconi
2002	A	`conf`	Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners. ISMB Gianluca Pollastri, Pierre Baldi
2001	—	`conf`	Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning Pierre Baldi, Søren Brunak, Paolo Frasconi, Gianluca Pollastri, Giovanni Soda
2001	—	`conf`	Improved prediction of the number of residue contacts in proteins by recurrent neural networks. ISMB (Supplement of Bioinformatics) Gianluca Pollastri, Pierre Baldi, Piero Fariselli, Rita Casadio
2000	A	`conf`	Matching Protein b-Sheet Partners by Feedforward and Recurrent Neural Networks. ISMB Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak
2000	—	`conf`	Protein β-Sheet Partner Prediction by Neural Networks. ANNIMAB Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak
1999	J	`jnl`	Exploiting the past and the future in protein secondary structure prediction. Bioinform. Pierre Baldi, Søren Brunak, Paolo Frasconi, Giovanni Soda, Gianluca Pollastri