Carlo Ferrari

发表

Design and Analysis of a Petri Net Model of the Von Hippel-Lindau (VHL) Tumor Suppressor Interaction Network

S. Tosatto, G. Minervini, Elisabetta Panizzoni, 2014, PloS one.

Assessment of patient clinical descriptions and pathogenic variants from gene panel sequences in the CAGI‐5 intellectual disability challenge

Silvio C. E. Tosatto, Stephen J. Wilson, Lipika R. Pal, 2019, Human mutation.

Performance of computational methods for the evaluation of pericentriolar material 1 missense variants in CAGI‐5

Olivier Lichtarge, Emidio Capriotti, Kivilcim Ozturk, 2019, Human mutation.

Protein function prediction using guilty by association from interaction networks

Silvio C. E. Tosatto, Damiano Piovesan, Manuel Giollo, 2015, Amino Acids.

Performance of in silico tools for the evaluation of p16INK4a (CDKN2A) variants in CAGI

Yuedong Yang, Olivier Lichtarge, Giovanni Minervini, 2017, Human mutation.

Performance of in silico tools for the evaluation of p 16 INK 4 a ( CDKN 2 A ) variants in CAGI

J. Gough, S. Brenner, E. Capriotti, 2017 .

Matching phenotypes to whole genomes: Lessons learned from four iterations of the personal genome project community challenges

Silvio C. E. Tosatto, Hui Ting Grace Yeo, Madeleine P. Ball, 2017, Human mutation.

Working toward precision medicine: Predicting phenotypes from exomes in the Critical Assessment of Genome Interpretation (CAGI) challenges

Alexander A. Morgan, Yanay Ofran, Predrag Radivojac, 2017, Human mutation.

Exploring the potential of 3D Zernike descriptors and SVM for protein–protein interface prediction

Carlo Ferrari, Sebastian Daberdaku, Carlo Ferrari, 2018, BMC Bioinformatics.

Carlo Ferrari, Mary Ellen Bock, Concettina Guerra, 2005, CPM.

BOOGIE: Predicting Blood Groups from High Throughput Sequencing Data

Silvio C. E. Tosatto, S. Tosatto, G. Minervini, 2015, PloS one.

In silico prediction of blood cholesterol levels from genotype data

Silvio C. E. Tosatto, Carlo Ferrari, Francesco Reggiani, 2018, bioRxiv.

An expanded evaluation of protein function prediction methods shows an improvement in accuracy

Tapio Salakoski, Paolo Fontana, Silvio C. E. Tosatto, 2016, Genome Biology.

Comprehensive large-scale assessment of intrinsic protein disorder

Silvio C. E. Tosatto, Tomás Di Domenico, Carlo Ferrari, 2015, Bioinform..

Exploring the potential of 3D Zernike descriptors and SVM for protein–protein interface prediction

Carlo Ferrari, Sebastian Daberdaku, Carlo Ferrari, 2018, BMC Bioinformatics.

Hierarchical representation for PPI sites prediction

Carlo Ferrari, M. Quadrini, Sebastian Daberdaku, 2022, BMC Bioinform..

ProSPs: Protein Sites Prediction Based on Sequence Fragments

Carlo Ferrari, M. Quadrini, Sebastian Daberdaku, 2021, LOD.

Hierarchical Representation and Graph Convolutional Networks for the Prediction of Protein-Protein Interaction Sites

Sebastian Daberdaku, Michela Quadrini, Carlo Ferrari, 2020, LOD.

INGA: protein function prediction combining interaction networks, domain assignments and sequence similarity

Silvio C. E. Tosatto, Damiano Piovesan, Carlo Ferrari, 2015, Nucleic Acids Res..

NeEMO: a method using residue interaction networks to improve prediction of protein stability upon mutation

Ian Walsh, Alberto J. M. Martin, Manuel Giollo, 2014, BMC Genomics.

NeEMO: a method using residue interaction networks to improve prediction of protein stability upon mutation

Alberto J. M. Martin, S. Tosatto, Ian Walsh, 2014, BMC Genomics.

Antibody interface prediction with 3D Zernike descriptors and SVM

Carlo Ferrari, Sebastian Daberdaku, Carlo Ferrari, 2018, Bioinform..

Modelling a Protein Structure Comparison Application on the Grid Using PROTEUS

Mario Cannataro, Matteo Comin, Carlo Ferrari, 2004, SAG.

A grid-aware approach to protein structure comparison

Carlo Ferrari, Concettina Guerra, Giuseppe Zanotti, 2003, J. Parallel Distributed Comput..

Grid Deployment Of Bioinformatics Applications: A Case Study In Protein Similarity Determination

Matteo Comin, Concettina Guerra, C. Guerra, 2004, Parallel Process. Lett..

Protein function prediction using guilty by association from interaction networks

Silvio C. E. Tosatto, Damiano Piovesan, S. Tosatto, 2015, Amino Acids.

RepeatsDB: a database of tandem repeat protein structures

Silvio C. E. Tosatto, Damiano Piovesan, Tomás Di Domenico, 2013, Nucleic Acids Res..

Crohn disease risk prediction—Best practices and pitfalls with exome data

David T. Jones, S. Tosatto, E. Leonardi, 2017, Human mutation.

RAPHAEL: recognition, periodicity and insertion assignment of solenoid protein structures

Silvio C. E. Tosatto, Tomás Di Domenico, Carlo Ferrari, 2012, Bioinform..

Computing voxelised representations of macromolecular surfaces

Carlo Ferrari, Sebastian Daberdaku, Carlo Ferrari, 2018, Int. J. High Perform. Comput. Appl..

Computing Discrete Fine-Grained Representations of Protein Surfaces

Carlo Ferrari, Sebastian Daberdaku, Carlo Ferrari, 2015, CIBB.

Fast Computation of High-resolution Solvent Excluded Protein Surface with OpenMP

Carlo Ferrari, Sebastian Daberdaku, Carlo Ferrari, 2018, 2018 International Conference on High Performance Computing & Simulation (HPCS).

Parallel Computation of Voxelized Macromolecular Surfaces by Spatial Slicing

Carlo Ferrari, Sebastian Daberdaku, Carlo Ferrari, 2015, 2015 IEEE Trustcom/BigDataSE/ISPA.

Understanding Scene Descriptions by Integrating Different Sources of Knowledge

Fausto Giunchiglia, Paolo Traverso, Emanuele Trucco, 1992, Int. J. Man Mach. Stud..

The Victor C++ library for protein representation and advanced manipulation

Silvio C. E. Tosatto, Damiano Piovesan, Manuel Giollo, 2015, Bioinform..

The Aquila Digital Community The Aquila Digital Community

Silvio C. E. Tosatto, Karin M. Verspoor, David A. Lee, 2022 .

In silico blood genotyping from exome sequencing data

Silvio C. E. Tosatto, Carlo Ferrari, Giovanni Minervini, 2012, AIMM.