Gerald M. Maggiora

29 papers Misc 1Journal 27Unranked 1

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	Chemoinformatics and artificial intelligence colloquium: progress and challenges in developing bioactive compounds. J. Cheminformatics Jürgen Bajorath, Ana L. Chávez-Hernández, Miquel Duran-Frigola, Eli Fernández-de Gortari, Johann Gasteiger, Edgar López-López, Gerald M. Maggiora, José L. Medina-Franco, Oscar Méndez-Lucio, Jordi Mestres, Ramón Alain Miranda-Quintana, Tudor I. Oprea, Fabien Plisson, Fernando D. Prieto-Martínez, Raquel Rodríguez-Pérez, Paola Rondón-Villarreal, Fernanda I. Saldívar-González, Norberto Sánchez-Cruz, Marilia Valli
2020	J	`jnl`	From Qualitative to Quantitative Analysis of Activity and Property Landscapes. J. Chem. Inf. Model. Gerald M. Maggiora, José L. Medina-Franco, Javed Iqbal, Martin Vogt, Jürgen Bajorath
2016	J	`jnl`	Design of chemical space networks on the basis of Tversky similarity. J. Comput. Aided Mol. Des. Mengjun Wu, Martin Vogt, Gerald M. Maggiora, Jürgen Bajorath
2016	J	`jnl`	Lessons learned from the design of chemical space networks and opportunities for new applications. J. Comput. Aided Mol. Des. Martin Vogt, Dagmar Stumpfe, Gerald M. Maggiora, Jürgen Bajorath
2015	J	`jnl`	Comparison of bioactive chemical space networks generated using substructure- and fingerprint-based measures of molecular similarity. J. Comput. Aided Mol. Des. Bijun Zhang, Martin Vogt, Gerald M. Maggiora, Jürgen Bajorath
2015	J	`jnl`	Design and characterization of chemical space networks for different compound data sets. J. Comput. Aided Mol. Des. Magdalena Zwierzyna, Martin Vogt, Gerald M. Maggiora, Jürgen Bajorath
2015	J	`jnl`	Design of chemical space networks using a Tanimoto similarity variant based upon maximum common substructures. J. Comput. Aided Mol. Des. Bijun Zhang, Martin Vogt, Gerald M. Maggiora, Jürgen Bajorath
2015	J	`jnl`	Erratum to: Design of chemical space networks using a Tanimoto similarity variant based upon maximum common substructures. J. Comput. Aided Mol. Des. Bijun Zhang, Martin Vogt, Gerald M. Maggiora, Jürgen Bajorath
2014	J	`jnl`	Chemical space networks: a powerful new paradigm for the description of chemical space. J. Comput. Aided Mol. Des. Gerald M. Maggiora, Jürgen Bajorath
2013	J	`jnl`	Activity cliffs in PubChem confirmatory bioassays taking inactive compounds into account. J. Comput. Aided Mol. Des. Ye Hu, Gerald M. Maggiora, Jürgen Bajorath
2013	J	`jnl`	Conditional Probabilities of Activity Landscape Features for Individual Compounds. J. Chem. Inf. Model. Martin Vogt, Preeti Iyer, Gerald M. Maggiora, Jürgen Bajorath
2012	J	`jnl`	Is there a future for computational chemistry in drug research? J. Comput. Aided Mol. Des. Gerald M. Maggiora
2011	J	`jnl`	Consensus Models of Activity Landscapes with Multiple Chemical, Conformer, and Property Representations. J. Chem. Inf. Model. Austin B. Yongye, Kendall G. Byler, Radleigh Santos, Karina Martínez-Mayorga, Gerald M. Maggiora, José L. Medina-Franco
2011	J	`jnl`	The reductionist paradox: are the laws of chemistry and physics sufficient for the discovery of new drugs? J. Comput. Aided Mol. Des. Gerald M. Maggiora
2007	J	`jnl`	Molecular Basis SetsA General Similarity-Based Approach for Representing Chemical Spaces. J. Chem. Inf. Model. Akshay S. Raghavendra, Gerald M. Maggiora
2006	J	`jnl`	On Outliers and Activity Cliffs-Why QSAR Often Disappoints. J. Chem. Inf. Model. Gerald M. Maggiora
2004	J	`jnl`	Data Shaving: A Focused Screening Approach. J. Chem. Inf. Model. Suzanne K. Schreyer, Christian N. Parker, Gerald M. Maggiora
2000	J	`jnl`	A molecular-field-based similarity study of non-nucleoside HIV-1 reverse transcriptase inhibitors. 2. The relationship between alignment solutions obtained from conformationally rigid and flexible matching. J. Comput. Aided Mol. Des. Jordi Mestres, Douglas C. Rohrer, Gerald M. Maggiora
1999	J	`jnl`	A molecular-field-based similarity study of non-nucleoside HIV-1 reverse transcriptase inhibitors. J. Comput. Aided Mol. Des. Jordi Mestres, Douglas C. Rohrer, Gerald M. Maggiora
1999	Misc	`conf`	Field-Based Similarity Forcing in Energy Minimization and Molecular Matching. Pacific Symposium on Biocomputing James R. Blinn, Douglas C. Rohrer, Gerald M. Maggiora
1997	J	`jnl`	MIMIC: A molecular-field matching program. Exploiting applicability of molecular similarity approaches. J. Comput. Chem. Jordi Mestres, Douglas C. Rohrer, Gerald M. Maggiora
1996	J	`jnl`	Four Association Coefficients for Relating Molecular Similarity Measures. J. Chem. Inf. Comput. Sci. Cheng Cheng, Gerald M. Maggiora, Michael S. Lajiness, Mark A. Johnson
1995	J	`jnl`	Application of the Shape Group Method to Conformation Processes: Shape and Conjugation Changes in the Conformers of 2-Phenyl Pyrimidine. J. Comput. Chem. P. Duane Walker, Paul G. Mezey, Gerald M. Maggiora, Mark A. Johnson, James D. Petke
1995	J	`jnl`	Shape Group Analysis of Molecular Similarity: Shape Similarity of Six-Membered Aromatic Ring Systems. J. Chem. Inf. Comput. Sci. P. Duane Walker, Gerald M. Maggiora, Mark A. Johnson, James D. Petke, Paul G. Mezey
1994	J	`jnl`	A consensus procedure for predicting the location of alpha-helical transmembrane segments in proteins. Comput. Appl. Biosci. L. A. Parodi, C. A. Granatir, Gerald M. Maggiora
1992	J	`jnl`	Computational neural networks as model-free mapping devices. J. Chem. Inf. Comput. Sci. Gerald M. Maggiora, David W. Elrod, Robert G. Trenary
1990	J	`jnl`	Applications of neural networks in chemistry. 1. Prediction of electrophilic aromatic substitution reactions. J. Chem. Inf. Comput. Sci. David W. Elrod, Gerald M. Maggiora, Robert G. Trenary
1989	—	`conf`	Predicting Chemical Reactions with a Neural Network. Great Lakes Computer Science Conference David W. Elrod, Gerald M. Maggiora, Robert G. Trenary
1988	J	`jnl`	Symposium overview Minnesota Conference on Supercomputing in Biology: Proteins, Nucleic Acids, and Water. J. Comput. Aided Mol. Des. George L. Wilcox, Florante A. Quiocho, Cyrus Levinthal, Stephen C. Harvey, Gerald M. Maggiora, James Andrew McCammon

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.