Gianluca Pollastri

Overview

Best Publications

• Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.

  Gianluca Pollastri;Darisz Przybylski;Burkhard Rost;Pierre Baldi

  992
  Citations

• Exploiting the past and the future in protein secondary structure prediction.

  Pierre Baldi;Søren Brunak;Paolo Frasconi;Giovanni Soda

  687
  Citations

• Deep Architectures and Deep Learning in Chemoinformatics: The Prediction of Aqueous Solubility for Drug-Like Molecules

  Alessandro Lusci;Gianluca Pollastri;Pierre Baldi

  611
  Citations

• Porter: a new, accurate server for protein secondary structure prediction

  Gianluca Pollastri;Aoife Mclysaght

  593
  Citations

• Towards the Improved Discovery and Design of Functional Peptides: Common Features of Diverse Classes Permit Generalized Prediction of Bioactivity

  Catherine Mooney;Niall J. Haslam;Gianluca Pollastri;Denis C. Shields

  555
  Citations

• Prediction of coordination number and relative solvent accessibility in proteins.

  Gianluca Pollastri;Pierre Baldi;Pietro Fariselli;Rita Casadio

  323
  Citations

• Deep learning methods in protein structure prediction.

  Mirko Torrisi;Gianluca Pollastri;Quan Le

  278
  Citations

• The principled design of large-scale recursive neural network architectures--dag-rnns and the protein structure prediction problem

  Pierre Baldi;Gianluca Pollastri

  251
  Citations

• A neural network approach to ordinal regression

  Jianlin Cheng;Zheng Wang;G. Pollastri

  232
  Citations

• DOME: recommendations for supervised machine learning validation in biology

  Ian Walsh;Dmytro Fishman;Dario Garcia-Gasulla;Tiina Titma

  224
  Citations

• Prediction of contact maps by GIOHMMs and recurrent neural networks using lateral propagation from all four cardinal corners.

  Gianluca Pollastri;Pierre Baldi

  201
  Citations

• CPPpred: prediction of cell penetrating peptides.

  Thérèse A. Holton;Gianluca Pollastri;Denis C. Shields;Catherine Mooney

  172
  Citations

• Spritz: a server for the prediction of intrinsically disordered regions in protein sequences using kernel machines.

  Alessandro Vullo;Oscar Bortolami;Gianluca Pollastri;Silvio C. E. Tosatto

  163
  Citations

• Accurate prediction of protein secondary structure and solvent accessibility by consensus combiners of sequence and structure information.

  Gianluca Pollastri;Alberto J M Martin;Catherine Mooney;Alessandro Vullo

  161
  Citations

• Porter, PaleAle 4.0: high-accuracy prediction of protein secondary structure and relative solvent accessibility

  Claudio Mirabello;Gianluca Pollastri

  141
  Citations

• Bidirectional dynamics for protein secondary structure prediction

  Pierre Baldi;Søren Brunak;Paolo Frasconi;Gianluca Pollastri

  127
  Citations

• A two-stage approach for improved prediction of residue contact maps

  Alessandro Vullo;Ian Walsh;Gianluca Pollastri

  114
  Citations

• Distill: a suite of web servers for the prediction of one-, two- and three-dimensional structural features of proteins.

  Davide Baù;Alberto J. M. Martin;Catherine Mooney;Alessandro Vullo

  110
  Citations

• CSpritz: accurate prediction of protein disorder segments with annotation for homology, secondary structure and linear motifs

  Ian Walsh;Alberto J. M. Martin;Tomàs Di Domenico;Alessandro Vullo

  110
  Citations

• Prediction of Short Linear Protein Binding Regions

  Catherine Mooney;Gianluca Pollastri;Denis C. Shields;Niall J. Haslam

  90
  Citations

• Ab initio and template-based prediction of multi-class distance maps by two-dimensional recursive neural networks

  Ian Walsh;Davide Baù;Alberto J M Martin;Catherine Mooney

  66
  Citations