Sabrina de Azevedo Silveira

19 papers C 2Misc 1Journal 9Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	COCαDA - a fast and scalable algorithm for interatomic contact detection in proteins using Cα distance matrices. Frontiers Bioinform. Rafael P. Lemos, Diego C. B. Mariano, Sabrina de Azevedo Silveira, Raquel Cardoso de Melo Minardi
2024	—	`conf`	COCαDA - Large-Scale Protein Interatomic Contact Cutoff Optimization by Cα Distance Matrices. BSB Rafael P. Lemos, Diego C. B. Mariano, Sabrina de Azevedo Silveira, Raquel Cardoso de Melo Minardi
2022	J	`jnl`	GASS-Metal: identifying metal-binding sites on protein structures using genetic algorithms. Briefings Bioinform. Vinícius de Almeida Paiva, Murillo Ventura Mendonça, Sabrina de Azevedo Silveira, David B. Ascher, Douglas E. V. Pires, Sandro C. Izidoro
2022	J	`jnl`	GRaSP-web: a machine learning strategy to predict binding sites based on residue neighborhood graphs. Nucleic Acids Res. Charles Abreu Santana, Sandro C. Izidoro, Raquel Cardoso de Melo Minardi, Jonathan D. Tyzack, António J. M. Ribeiro, Douglas E. V. Pires, Janet M. Thornton, Sabrina de Azevedo Silveira
2022	J	`jnl`	Protein structural bioinformatics: An overview. Comput. Biol. Medicine Vinícius de Almeida Paiva, Isabela de Souza Gomes, Cleiton Rodrigues Monteiro, Murillo Ventura Mendonça, Pedro Magalhães Martins, Charles Abreu Santana, Valdete M. Gonçalves-Almeida, Sandro Carvalho Izidoro, Raquel Cardoso de Melo Minardi, Sabrina de Azevedo Silveira
2021	J	`jnl`	Propedia: a database for protein-peptide identification based on a hybrid clustering algorithm. BMC Bioinform. Pedro M. Martins, Lucianna Helene Santos, Diego C. B. Mariano, Felippe C. Queiroz, Luana L. Bastos, Isabela de Souza Gomes, Pedro H. C. Fischer, Rafael E. O. Rocha, Sabrina de Azevedo Silveira, Leonardo H. F. de Lima, Mariana T. Q. de Magalhães, Maria G. A. Oliveira, Raquel Cardoso de Melo Minardi
2020	J	`jnl`	GRaSP: a graph-based residue neighborhood strategy to predict binding sites. Bioinform. Charles Abreu Santana, Sabrina de Azevedo Silveira, João P. A. Moraes, Sandro C. Izidoro, Raquel Cardoso de Melo Minardi, António J. M. Ribeiro, Jonathan D. Tyzack, Neera Borkakoti, Janet M. Thornton
2020	J	`jnl`	nAPOLI: A Graph-Based Strategy to Detect and Visualize Conserved Protein-Ligand Interactions in Large-Scale. IEEE ACM Trans. Comput. Biol. Bioinform. Alexandre V. Fassio, Lucianna Helene Santos, Sabrina de Azevedo Silveira, Rafaela Salgado Ferreira, Raquel Cardoso de Melo Minardi
2020	J	`jnl`	ppiGReMLIN: a graph mining based detection of conserved structural arrangements in protein-protein interfaces. BMC Bioinform. Felippe C. Queiroz, Adriana M. P. Vargas, Maria G. A. Oliveira, Giovanni V. Comarela, Sabrina de Azevedo Silveira
2019	—	`conf`	A Hierarchical and Scalable Strategy for Protein Structural Classification. IWBBIO (1) Vinício F. Mendes, Cleiton Rodrigues Monteiro, Giovanni V. Comarela, Sabrina de Azevedo Silveira
2019	—	`conf`	Protein Structural Signatures Revisited: Geometric Linearity of Main Chains are More Relevant to Classification Performance than Packing of Residues. IWBBIO (1) João Arthur F. Gadelha Campelo, Cleiton Rodrigues Monteiro, Carlos Henrique da Silveira, Sabrina de Azevedo Silveira, Raquel Cardoso de Melo Minardi
2018	—	`conf`	An Interactive Strategy to Visualize Common Subgraphs in Protein-Ligand Interaction. IWBBIO (1) Alexandre V. Fassio, Charles Abreu Santana, Fabio Ribeiro Cerqueira, Carlos Henrique da Silveira, João P. R. Romanelli, Raquel Cardoso de Melo Minardi, Sabrina de Azevedo Silveira
2018	Misc	`conf`	How to compute protein residue contacts more accurately? SAC Pedro M. Martins, Vinícius D. Mayrink, Sabrina de Azevedo Silveira, Carlos Henrique da Silveira, Leonardo H. F. de Lima, Raquel Cardoso de Melo Minardi
2018	—	`conf`	Using supervised learning successful descriptors to perform protein structural classification through unsupervised learning. BIBM Cleiton Monteiro, Vinício F. Mendes, Giovanni Comarela, Sabrina de Azevedo Silveira
2017	C	`conf`	CALI: A Novel Visual Model for Frequent Pattern Mining in Protein-Ligand Graphs. BIBE Susana Medina G., Alexandre Victor Fassio, Sabrina de Azevedo Silveira, Carlos Henrique da Silveira, Raquel Cardoso de Melo Minardi
2017	J	`jnl`	Vermont: a multi-perspective visual interactive platform for mutational analysis. BMC Bioinform. Alexandre V. Fassio, Pedro M. Martins, Samuel da Silva Guimarães, Sócrates S. A. Junior, Vagner S. Ribeiro, Raquel Cardoso de Melo Minardi, Sabrina de Azevedo Silveira
2016	C	`conf`	GReMLIN: A Graph Mining Strategy to Infer Protein-Ligand Interaction Patterns. BIBE Charles Abreu Santana, Fabio Ribeiro Cerqueira, Carlos Henrique da Silveira, Alexandre V. Fassio, Raquel Cardoso de Melo Minardi, Sabrina de Azevedo Silveira
2013	—	`—`	Enzymap: explorando metadados protéicos para modelagem e previsão de mudanças de anotação no Uniprot/Swiss-Prot. Sabrina de Azevedo Silveira
2012	—	`conf`	ADVISe: Visualizing the dynamics of enzyme annotations in UniProt/Swiss-Prot. BioVis Sabrina de Azevedo Silveira, Artur O. Rodrigues, Raquel Cardoso de Melo Minardi, Carlos Henrique da Silveira, Wagner Meira Jr.

Nicolò Altamura is a security engineer and computer science researcher specializing in software protection, reverse engineering, program analysis, and binary deobfuscation. He holds a master's degree in Computer Science and Engineering from the University of Verona, graduating with honors, and works at emproof, focusing on software protection and the challenges of analyzing and understanding compiled software.

His research explores the relationship between program analysis and code obfuscation, with particular emphasis on how software transformations affect the ability of automated tools to recover program behavior. His interests span static analysis, binary analysis, decompilation, reverse engineering, and techniques for analyzing and simplifying obfuscated code.

Beyond academic research, Nicolò develops and contributes to tools for reverse engineering and software analysis. His projects include obfuscation_analysis, a Binary Ninja plugin for analyzing and simplifying obfuscated code; Pocket, an obfuscator for mixed Boolean-arithmetic expressions; and ptxNinja, a tool for reverse engineering NVIDIA GPU code represented in the PTX virtual instruction set.

His research also extends to binary datasets and software evolution. In 2026, he co-authored ASSEMBLAGE-DEEPHISTORY: A Cross-Build Binary Dataset with Temporal Coverage, a research work addressing the availability of binary data across multiple software builds and points in time, supporting research into binary analysis and changes between program versions.

Across his research, engineering work, and open-source contributions, Nicolò focuses on advancing the understanding, analysis, and protection of software against increasingly sophisticated obfuscation and reverse-engineering challenges.

Nicolò Altamura is not a football player. Please avoid reporting this kind of infromation.