Emilio Benfenati

Orcid: 0000-0002-3976-5989

According to our database1, Emilio Benfenati authored at least 49 papers between 1999 and 2021.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2021
The index of ideality of correlation improves the predictive potential of models of the antioxidant activity of tripeptides from frog skin (<i>Litoria rubella</i>).
Comput. Biol. Medicine, 2021

2019
Methodology of aiQSAR: a group-specific approach to QSAR modelling.
J. Cheminformatics, 2019

SAR and QSAR modeling of a large collection of LD50 rat acute oral toxicity data.
J. Cheminformatics, 2019

Correction to: A new semi-automated workflow for chemical data retrieval and quality checking for modeling applications.
J. Cheminformatics, 2019

2018
QSAR Modeling of ToxCast Assays Relevant to the Molecular Initiating Events of AOPs Leading to Hepatic Steatosis.
J. Chem. Inf. Model., 2018

A new semi-automated workflow for chemical data retrieval and quality checking for modeling applications.
J. Cheminformatics, 2018

Prediction of antimicrobial activity of large pool of peptides using quasi-SMILES.
Biosyst., 2018

2014
A generalizable definition of chemical similarity for read-across.
J. Cheminformatics, 2014

2013
VEGA-QSAR: AI Inside a Platform for Predictive Toxicology.
Proceedings of the Workshop Popularize Artificial Intelligence co-located with the 13th Conference of the Italian Association for Artificial Intelligence (AI*IA 2013), 2013

2012
Coral: QSAR models for acute toxicity in fathead minnow (<i>Pimephales promelas</i>).
J. Comput. Chem., 2012

Coral: QSPR modeling of rate constants of reactions between organic aromatic pollutants and hydroxyl radical.
J. Comput. Chem., 2012

2011
Identification of Toxifying and Detoxifying Moieties for Mutagenicity Prediction by Priority Assessment.
J. Chem. Inf. Model., 2011

CORAL: Quantitative structure-activity relationship models for estimating toxicity of organic compounds in rats.
J. Comput. Chem., 2011

Evaluating the applicability domain in the case of classification predictive models for carcinogenicity based on the counter propagation artificial neural network.
J. Comput. Aided Mol. Des., 2011

Mining toxicity structural alerts from SMILES: A new way to derive Structure Activity Relationships.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2011

2010
SMILES-based optimal descriptors: QSAR analysis of fullerene-based HIV-1 PR inhibitors by means of balance of correlations.
J. Comput. Chem., 2010

2009
QSPR modeling of enthalpies of formation for organometallic compounds by SMART-based optimal descriptors.
J. Comput. Chem., 2009

2008
Definition and Detection of Outliers in Chemical Space.
J. Chem. Inf. Model., 2008

2007
E-Modelling: Foundations and Cases for Applying AI to Life Sciences.
Int. J. Artif. Intell. Tools, 2007

SMILES as an alternative to the graph in QSAR modelling of bee toxicity.
Comput. Biol. Chem., 2007

Open Computing Grid for Molecular Sciences.
Proceedings of the Grid Computing for Bioinformatics and Computational Biology, 2007

2006
Data-driven modeling and prediction of acute toxicity of pesticide residues.
SIGKDD Explor., 2006

Grid Computing for the Estimation of Toxicity: Acute Toxicity on Fathead Minnow (<i>Pimephales promelas</i>).
Proceedings of the Distributed, 2006

2005
Thermodynamic Descriptors Derived from Density Functional Theory Calculations in Prediction of Aquatic Toxicity.
J. Chem. Inf. Model., 2005

Description of the Electronic Structure of Organic Chemicals Using Semiempirical and Ab Initio Methods for Development of Toxicological QSARs.
J. Chem. Inf. Model., 2005

QSAR Model for Predicting Pesticide Aquatic Toxicity.
J. Chem. Inf. Model., 2005

3D-QSAR and Molecular Mechanics Study for the Differences in the Azole Activity against Yeastlike and Filamentous Fungi and Their Relation to P450DM Inhibition. 1. 3-Substituted-4(3H)-quinazolinones.
J. Chem. Inf. Model., 2005

OpenMolGRID: Using Automated Workflows in GRID Computing Environment.
Proceedings of the Advances in Grid Computing, 2005

2004
Predictive Models for Aquatic Toxicity of Aldehydes Designed for Various Model Chemistries.
J. Chem. Inf. Model., 2004

Classification of Potential Endocrine Disrupters on the Basis of Molecular Structure Using a Nonlinear Modeling Method.
J. Chem. Inf. Model., 2004

QSAR in Ecotoxicity: An Overview of Modern Classification Techniques.
J. Chem. Inf. Model., 2004

Combining Unsupervised and Supervised Artificial Neural Networks to PredictAquatic Toxicity.
J. Chem. Inf. Model., 2004

Multiclass Classifier From A Combination Of Local Experts: Toward Distributed Computation For Real-Problem Classifiers.
Int. J. Pattern Recognit. Artif. Intell., 2004

OpenMolGRIND: Molecular Science and Engineering in a Grid Context.
Proceedings of the International Conference on Parallel and Distributed Processing Techniques and Applications, 2004

Modelling and Prediction of Toxicity of Environmental Pollutants.
Proceedings of the Knowledge Exploration in Life Science Informatics, 2004

Modelling Aquatic Toxicity with Advanced Computational Techniques: Procedures to Standardize Data and Compare Models.
Proceedings of the Knowledge Exploration in Life Science Informatics, 2004

2003
Modeling Toxicity by Using Supervised Kohonen Neural Networks.
J. Chem. Inf. Comput. Sci., 2003

Tuning Neural and Fuzzy-Neural Networks for Toxicity Modeling.
J. Chem. Inf. Comput. Sci., 2003

ANVAS: Artificial Neural Variables Adaptation System for descriptor selection.
J. Comput. Aided Mol. Des., 2003

Towards and Intelligent Data Type for Toxicity.
Proceedings of the International Conference on Artificial Intelligence, 2003

2002
The Importance of Scaling in Data Mining for Toxicity Prediction.
J. Chem. Inf. Comput. Sci., 2002

Results from a Data Mining Approach to Predictive Toxicology. The Case of Pesticides Data.
Proceedings of the Pattern Recognition in Information Systems, 2002

Combining Classifiers of Pesticides Toxicity through a Neuro-fuzzy Approach.
Proceedings of the Multiple Classifier Systems, Third International Workshop, 2002

Neuro-Fuzzy Knowledge Representation for Toxicity Prediction of Organic Compounds.
Proceedings of the 15th European Conference on Artificial Intelligence, 2002

2001
Interpretation of Quantitative Structure-Property and -Activity Relationships.
J. Chem. Inf. Comput. Sci., 2001

Mixing a Symbolic and a Subsymbolic Expert to Improve Carcinogenicity Prediction of Aromatic Compounds.
Proceedings of the Multiple Classifier Systems, Second International Workshop, 2001

2000
Clustering and classification techniques to assess aquatic toxicity.
Proceedings of the Fourth International Conference on Knowledge-Based Intelligent Information Engineering Systems & Allied Technologies, 2000

1999
Predictive Carcinogenicity: A Model for Aromatic Compounds, with Nitrogen-Containing Substituents, Based on Molecular Descriptors Using an Artificial Neural Network.
J. Chem. Inf. Comput. Sci., 1999

Predictive Toxicology Results Integrating Different AI Paradigms: The Carcinogenicity Case.
Proceedings of the Third ICSC Symposia on Intelligent Industrial Automation (IIA'99) and Soft Computing (SOCO'99), 1999


  Loading...