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Ivan Mazoni

Observed names: I Mazoni, I. Mazoni, MAZONI, I., Mazoni, Ivan
ORCID: 0000-0002-3763-1071
Observed ORCID: 0000-0002-3763-1071
OpenAlex ID: A5001859905
Predicting enzyme class from protein structure using Bayesian classification.
2006 · Luiz C Borro, Stanley R M Oliveira, et al. · PubMed · 50
The Star STING server: a multiplatform environment for protein structure analysis.
2006 · G Neshich, I Mazoni, et al. · PubMed · 22
Improving Predictions of Protein-Protein Interfaces by Combining Amino Acid-Specific Classifiers Based on Structural and Physicochemical Descriptors with Their Weighted Neighbor Averages
2014 · Fábio R. de Moraes, Izabella A. P. Neshich, et al. · PLoS ONE · 15
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Protein allosteric site identification using machine learning and per amino acid residue reported internal protein nanoenvironment descriptors
2024 · Folorunsho Bright Omage, José Augusto Salim, et al. · Computational and Structural Biotechnology Journal · 13
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Computational Biology Tools for Identifying Specific Ligand Binding Residues for Novel Agrochemical and Drug Design
2015 · Izabella Pena Neshich, Leticia Nishimura, et al. · Current Protein and Peptide Science · 12
Analysis of binding properties and specificity through identification of the interface forming residues (IFR) for serine proteases in silico docked to different inhibitors
2010 · Cristina Ribeiro, Roberto C Togawa, et al. · BMC Structural Biology · 12
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STINGAllo: a web server for high-throughput prediction of allosteric site-forming residues using internal protein nanoenvironment descriptors
2025 · Folorunsho Bright Omage, José Augusto Salim, et al. · Briefings in Bioinformatics · 7
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Study of specific nanoenvironments containing α-helices in all-α and (α+β)+(α/β) proteins
2018 · Ivan Mazoni, Luiz César Borro, et al. · PLoS ONE · 7
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Plasminogen Activator Inhibitors in Thrombosis: Structural Analysis and Potential Natural Inhibitors
2025 · Roney V. dos Santos, Manoel Victor Frutuoso Barrionuevo, et al. · ACS Omega · 5
A comparison between internal protein nanoenvironments of α-helices and β-sheets
2020 · Ivan Mazoni, Jose Augusto Salim, et al. · PLoS ONE · 5
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Using Structural and Physical–Chemical Parameters to Identify, Classify, and Predict Functional Districts in Proteins—The Role of Electrostatic Potential
2014 · Goran Neshich, Izabella Agostinho Pena Neshich, et al. · Springer eBooks · 3
Building multiple sequence alignments with a flavor of HSSP alignments.
2006 · Roberto Hiroshi Higa, Sergio Aparecido Braga da Cruz, et al. · PubMed · 3
Protein exosites as drug targets: from structural topology to therapeutic modality
2026 · Folorunsho Bright Omage, Ivan Mazoni, et al. · Drug Discovery Today · 2
Learning to utilize internal protein 3D nanoenvironment descriptors in predicting CRISPR–Cas9 off-target activity
2025 · Jeffrey Kelvin Mak, Artemi Bendandi, et al. · NAR Genomics and Bioinformatics · 2
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PDB-Metrics: a web tool for exploring the PDB contents.
2006 · Renato Fileto, Paula R Kuser, et al. · PubMed · 2
Protein family membership governs exosite predictability across the structural proteome
2026 · Folorunsho Bright Omage, Ivan Mazoni, et al. · Artificial Intelligence in the Life Sciences · 1
MPLID: Membrane Protein-Lipid Interface Dataset
2026 · Omage, Folorunsho Bright, Mazoni, Ivan, et al. · Zenodo (CERN European Organization for Nuclear Research) · 1
Comprehensive Analysis of the Distinct Nano Environments Characteristics Containing the Different Secondary Structure Elements: α-Helices, β-Sheets, and Turns
2024 · Ivan Mazoni, José Augusto Salim, et al. · Current Nanomedicine · 1
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Análise do nano-ambiente propício para nucleação e manutenção dos elementos da estrutura secundária no contexto estrutural das proteínas funcionais
2018 · Ivan Mazoni · 1
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Multiple structure single parameter: analysis of a single protein nano environment descriptor characterizing a shared loci on structurally aligned proteins
2016 · José Augusto Salim, Luiz Borro, et al. · Bioinformatics · 1
Binding affinity prediction using a nonparametric regression model based on physicochemical and structural descriptors of the nano-environment for protein-ligand interactions.
2016 · Luiz Borro, I. H. Yano, et al. · Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) · 1
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The Table of Interface Forming Residues as the Specificity Indicator for Serine Proteases Bound to Different Inhibitors.
2008 · Roberto Coiti Togawa, Crisitna Ribeiro, et al. · 1
Uma metodologia para seleção de parâmetros em modelos de classificação de proteínas.
2006 · S. R. de M. Oliveira, M. E. B. Yamagishi, et al. · infoteca-e (Brazilian Agricultural Research Corporation) · 1
Desafios e soluções para a gestão da mobilidade urbana em Campinas, SP: uma perspectiva da engenharia civil à luz dos ODS
2026 · Ivan Mazoni, Eimi Veridiane Suzuki, et al. · Caderno Progressus
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STING-ExositeDB: An AI-assisted curated database of protein exosites for drug discovery
2026 · Folorunsho Bright Omage, Ivan Mazoni, et al. · Database
Works count: 48
Citation count: 168
H-index: 7
I10-index: 6
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