Alessandro Vullo

发表

Ensembl 2015

Alessandro Vullo, Daniel R. Zerbino, Laurent Gil, 2014, Nucleic Acids Res..

Large-Scale Prediction of Disulphide Bond Connectivity

Pierre Baldi, Alessandro Vullo, Jianlin Cheng, 2004, NIPS.

Modular DAG-RNN Architectures for Assembling Coarse Protein Structures

Pierre Baldi, Paolo Frasconi, Alessandro Vullo, 2006, J. Comput. Biol..

Machine Learning in Structural Genomics

Alessandro Vullo, A. Vullo, 2022 .

Ensembl 2020

Astrid Gall, Alessandro Vullo, James E. Allen, 2019, Nucleic Acids Res..

Template-based Recognition of Natively Disordered Regions in Proteins

G. Pollastri, Alessandro Vullo, A. Vullo, 2012 .

Learning and Neural Networks

Andrea Passerini, Alessandro Vullo, A. Ceroni, 2005 .

Title Protein structural motif prediction in multidimensional-space leads to improved secondary structure prediction

Alessandro Vullo, 2017 .

Protein Backbone Angle Prediction in Multidimensional - Space

G. Pollastri, Alessandro Vullo, C. Mooney, 2006 .

A recursive connectionist approach for predicting disulfide connectivity in proteins

Paolo Frasconi, Alessandro Vullo, P. Frasconi, 2003, SAC '03.

Ensembl 2018

Astrid Gall, Alessandro Vullo, Jane Loveland, 2017, Nucleic Acids Res..

DISULFIND: a disulfide bonding state and cysteine connectivity prediction server

Alessio Ceroni, Paolo Frasconi, Andrea Passerini, 2006, Nucleic Acids Res..

Ensembl 2014

Daniel R. Zerbino, Laurent Gil, Ewan Birney, 2013, Nucleic Acids Res..

Ensembl 2017

Alessandro Vullo, Matthew R. Laird, Daniel R. Zerbino, 2016, Nucleic Acids Res..

Ensembl 2019

Astrid Gall, Alessandro Vullo, Jane Loveland, 2018, Nucleic Acids Res..

Ensembl 2016

Daniel R. Zerbino, Laurent Gil, Ewan Birney, 2015, Nucleic Acids Res..

The Ensembl REST API: Ensembl Data for Any Language

Alessandro Vullo, Paul Flicek, Miguel Pignatelli, 2014, Bioinform..

Ensembl Genomes 2018: an integrated omics infrastructure for non-vertebrate species

Robert D. Finn, Zicheng Liu, Alessandro Vullo, 2017, Nucleic Acids Res..

Distill: A Machine Learning Approach to Ab Initio Protein Structure Prediction

Alessandro Vullo, Gianluca Pollastri, Davide Baù, 2007, Analysis of Biological Data: A Soft Computing Approach.

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

Silvio C. E. Tosatto, Alessandro Vullo, Gianluca Pollastri, 2011, Nucleic Acids Res..

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

Silvio C. E. Tosatto, Alessandro Vullo, Gianluca Pollastri, 2006, Nucleic Acids Res..

Ensembl core software resources: storage and programmatic access for DNA sequence and genome annotation

Alessandro Vullo, Matthew R. Laird, Daniel R. Zerbino, 2016, bioRxiv.

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

Alessandro Vullo, Gianluca Pollastri, Catherine Mooney, 2007, BMC Bioinformatics.

Ab initio and homology based prediction of protein domains by recursive neural networks

Alessandro Vullo, Gianluca Pollastri, Ian Walsh, 2009, BMC Bioinformatics.

Neural Network Pairwise Interaction Fields for Protein Model Quality Assessment

Alessandro Vullo, Gianluca Pollastri, Alberto J. M. Martin, 2009, LION.

Protein Structural Motif Prediction in Multidimensional ø-Psi Space Leads to Improved Secondary Structure Prediction

Alessandro Vullo, Gianluca Pollastri, Catherine Mooney, 2006, J. Comput. Biol..

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

Alessandro Vullo, Gianluca Pollastri, Ian Walsh, 2006, BMC Bioinformatics.

Kernel Identification Through Transformers pdf

Alessandro Vullo, Nicolas Durrande, Vidhi Lalchand, 2021, NeurIPS.