Elisa Cilia

发表

Predicting virus mutations through relational learning

Tom Lenaerts, Andrea Passerini, Stefano Teso, 2012, AIMM.

Predicting Structural and Functional Sites in Proteins by Searching for Maximum-weight Cliques

Mauro Brunato, Andrea Passerini, Franco Mascia, 2010, AAAI.

The DynaMine webserver: predicting protein dynamics from sequence

Tom Lenaerts, Peter Tompa, Wim F. Vranken, 2014, Nucleic Acids Res..

Dynamine: a web-server for predicting protein dynamics from sequence

Tom Lenaerts, Peter Tompa, Wim F. Vranken, 2014, ECCB 2014.

Prediction of Intra-protein communication pathways within the PDZ2 domain of PTP1e

Tom Lenaerts, Geerten W. Vuister, Elisa Cilia, 2012, BIOINFORMATICS 2012.

DynaMine: a webserver for predicting dynamics from sequence

Peter Tompa, Wim F. Vranken, Elisa Cilia, 2014 .

NAR Breakthrough Article: DIDA: A curated and annotated digenic diseases database

Tom Lenaerts, Dorien Daneels, Sonia Van Dooren, 2016, Nucleic Acids Res..

Mining Drug Resistance Relational Features with Hierarchical Multitask kFOIL

Andrea Passerini, Elisa Cilia, Neils Landwehr, 2009 .

On the evolutionary conservation of the dynamic changes predicted for a collection of SH3 domain structures

Tom Lenaerts, Frederic Rousseau, Elisa Cilia, 2015 .

Argot2: a large scale function prediction tool relying on semantic similarity of weighted Gene Ontology terms

Paolo Fontana, Stefano Toppo, Riccardo Velasco, 2012, BMC Bioinformatics.

Accuracy of information flow predictions within the PTP1E PDZ2 domain

Tom Lenaerts, Geerten W. Vuister, Elisa Cilia, 2011 .

Frankenstein Junior: a relational learning approach toward protein engineering

Andrea Passerini, Christopher J. O. Baker, Dietrich Rebholz-Schuhmann, 2010 .

Automatic prediction of catalytic residues by modeling residue structural neighborhood

Andrea Passerini, Elisa Cilia, Andrea Passerini, 2010, BMC Bioinformatics.

AuroraScience Project, Report on the First Phase

Marco Cristoforetti, Gianfranco Bilardi, Elisa Cilia, 2012 .

Relational Feature Mining with Hierarchical Multitask kFOIL

Andrea Passerini, Niels Landwehr, Elisa Cilia, 2011, Fundam. Informaticae.

Statistical and Relational Learning for Understanding Enzyme Function

Elisa Cilia, E. Cilia, 2010 .

Accurate Prediction of the Dynamical Changes within the Second PDZ Domain of PTP1e

Tom Lenaerts, Geerten W. Vuister, Elisa Cilia, 2012, PLoS Comput. Biol..

Structured Kernels for the Automatic Detection of Protein Active Sites

Roberto Basili, Alessandro Moschitti, Elisa Cilia, 2006 .

Advanced Tree-Based Kernels for Protein Classification

Alessandro Moschitti, Elisa Cilia, 2007, AI*IA.

Cooperative game theory and feature selection to describe dependencies between amino acid within the SH3 Fyn protein domain

Tom Lenaerts, Elisa Cilia, Ashley M Conard, 2013 .

From Binding-Induced Dynamic Effects in SH3 Structures to Evolutionary Conserved Sectors

Tom Lenaerts, Joost Schymkowitz, Frederic Rousseau, 2016, PLoS Comput. Biol..

Predicting virus mutations through statistical relational learning

Tom Lenaerts, Andrea Passerini, Stefano Teso, 2014, BMC Bioinformatics.

Betweenness measures on PDZ residue-contact networks are insufficient to predict their intra-domain communication.

Tom Lenaerts, Elisa Cilia, T. Lenaerts, 2012 .

Early Folding Events, Local Interactions, and Conservation of Protein Backbone Rigidity.

Daniele Raimondi, Wim F Vranken, Elisa Cilia, 2016, Biophysical journal.

The signature amidase from Sulfolobus solfataricus belongs to the CX3C subgroup of enzymes cleaving both amides and nitriles

Elisa Cilia, Sergio Ammendola, E. Cilia, 2005, The FEBS journal.

From protein sequence to dynamics and disorder with DynaMine

Tom Lenaerts, Wim F Vranken, Peter Tompa, 2013, Nature Communications.