List of works - Alessandro Vullo

A bi-recursive neural network architecture for the prediction of protein coarse contact maps.

scientific article

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

scientific article

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

scientific article published on 26 June 2009

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

scientific article

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

scientific article

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

scientific article published on 6 June 2011

DISULFIND: a disulfide bonding state and cysteine connectivity prediction server

scientific article

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

scientific article

Disulfide connectivity prediction using recursive neural networks and evolutionary information.

scientific article

Ensembl 2014

scientific article

Ensembl 2015

scientific article (publication date: 2015)

Ensembl 2016

scientific article

Ensembl 2017

scientific article

Ensembl 2018.

scientific article published on 16 November 2017

Ensembl 2019

scientific article published on 01 January 2019

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

scientific article published on 30 October 2017

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

scientific article (publication date: 2017)

Long-range information and physicality constraints improve predicted protein contact maps.

scientific article

Modular DAG-RNN architectures for assembling coarse protein structures.

scientific article

Prediction of protein coarse contact maps

scientific article published on July 2003

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

scientific article published on 01 October 2006

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

scientific article

The Ensembl REST API: Ensembl Data for Any Language

scientific article

List of works by Alessandro Vullo

A bi-recursive neural network architecture for the prediction of protein coarse contact maps.

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

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

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

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

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

DISULFIND: a disulfide bonding state and cysteine connectivity prediction server

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

Disulfide connectivity prediction using recursive neural networks and evolutionary information.

Ensembl 2014

Ensembl 2015

Ensembl 2016

Ensembl 2017

Ensembl 2018.

Ensembl 2019

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

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

Long-range information and physicality constraints improve predicted protein contact maps.

Modular DAG-RNN architectures for assembling coarse protein structures.

Prediction of protein coarse contact maps

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

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

The Ensembl REST API: Ensembl Data for Any Language