default search action
Gianluca Pollastri
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2020
- [j26]Manaz Kaleel
, Yandan Zheng, Jialiang Chen, Xuanming Feng, Jeremy C. Simpson
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
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
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
G-quadruplex Structure Prediction and integration in the GenData2020 data model. BCB 2016: 663-670 - 2014
- [j23]Predrag Kukic, Claudio Mirabello
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
PeptideLocator: prediction of bioactive peptides in protein sequences. Bioinform. 29(9): 1120-1126 (2013) - [j21]Claudio Mirabello
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
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
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
SCLpred: protein subcellular localization prediction by N-to-1 neural networks. Bioinform. 27(20): 2812-2819 (2011) - [j16]Ian Walsh
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
De Novo Protein Subcellular Localization Prediction by N-to-1 Neural Networks. CIBB 2010: 31-43
2000 – 2009
- 2009
- [j15]Ian Walsh
Ab initio and homology based prediction of protein domains by recursive neural networks. BMC Bioinform. 10 (2009) - [c10]Alberto J. M. Martin
Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment. LION 2009: 235-248 - [c9]Ian Walsh
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
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
On the Convergence of Protein Structure and Dynamics. Statistical Learning Studies of Pseudo Folding Pathways. EvoBIO 2008: 200-211 - [c7]Jianlin Cheng
A neural network approach to ordinal regression. IJCNN 2008: 1279-1284 - 2007
- [j13]Gianluca Pollastri
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
A two-stage approach for improved prediction of residue contact maps. BMC Bioinform. 7: 180 (2006) - [j11]Davide Baù, Alberto J. M. Martin
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
Modular DAG-RNN Architectures for Assembling Coarse Protein Structures. J. Comput. Biol. 13(3): 631-650 (2006) - [j9]Catherine Mooney
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
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
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
ICBS: a database of interactions between protein chains mediated by ?-sheet formation. Bioinform. 20(16): 2767-2777 (2004) - [j4]Yann Guermeur, Gianluca Pollastri
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
Bidirectional Dynamics for Protein Secondary Structure Prediction. Sequence Learning 2001: 80-104 - 2000
- [c2]Pierre Baldi, Gianluca Pollastri
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
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from ,
, and
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and
to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-13 00:41 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by: