Sabrina de Azevedo Silveira

Orcid: 0000-0002-4723-2349

According to our database1, Sabrina de Azevedo Silveira authored at least 16 papers between 2012 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2022
GRaSP-web: a machine learning strategy to predict binding sites based on residue neighborhood graphs.
Nucleic Acids Res., 2022

Protein structural bioinformatics: An overview.
Comput. Biol. Medicine, 2022

GASS-Metal: identifying metal-binding sites on protein structures using genetic algorithms.
Briefings Bioinform., 2022

2021
Propedia: a database for protein-peptide identification based on a hybrid clustering algorithm.
BMC Bioinform., 2021

2020
nAPOLI: A Graph-Based Strategy to Detect and Visualize Conserved Protein-Ligand Interactions in Large-Scale.
IEEE ACM Trans. Comput. Biol. Bioinform., 2020

ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces.
BMC Bioinform., 2020

2019
A Hierarchical and Scalable Strategy for Protein Structural Classification.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

Protein Structural Signatures Revisited: Geometric Linearity of Main Chains are More Relevant to Classification Performance than Packing of Residues.
Proceedings of the Bioinformatics and Biomedical Engineering, 2019

2018
How to compute protein residue contacts more accurately?
Proceedings of the 33rd Annual ACM Symposium on Applied Computing, 2018

An Interactive Strategy to Visualize Common Subgraphs in Protein-Ligand Interaction.
Proceedings of the Bioinformatics and Biomedical Engineering, 2018

Using supervised learning successful descriptors to perform protein structural classification through unsupervised learning.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Vermont: a multi-perspective visual interactive platform for mutational analysis.
BMC Bioinform., 2017

CALI: A Novel Visual Model for Frequent Pattern Mining in Protein-Ligand Graphs.
Proceedings of the 17th IEEE International Conference on Bioinformatics and Bioengineering, 2017

2016
GReMLIN: A Graph Mining Strategy to Infer Protein-Ligand Interaction Patterns.
Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2013
Enzymap: explorando metadados protéicos para modelagem e previsão de mudanças de anotação no Uniprot/Swiss-Prot.
PhD thesis, 2013

2012
ADVISe: Visualizing the dynamics of enzyme annotations in UniProt/Swiss-Prot.
Proceedings of the 2012 IEEE Symposium on Biological Data Visualization, 2012


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