Andrey A. Toropov
Istituto di Ricerche Farmacologiche Mario Negri
Research areas: Pharmacology, Toxicology and Pharmaceutics · Drug Discovery · Computational Drug Discovery Methods · Machine Learning in Materials Science · Graph theory and applications
About
Andrey A. Toropov (PhD) has been working in Istituto di Ricerche Farmacologiche Mario Negri Milano, Italy. The optimal (flexible) descriptors are his main scientific interest. He is developer of recent version of the optimal descriptors named as collectors of eclectic data for a QSPR/QSAR predictions. This paradigm is especially appropriate for the cases of complex molecular systems such as nanomaterials and proteins. He had done contribution for the development of the CORAL freeware (http://www.insilico.eu/coral). He had published of about 400 papers in international journals on the QSPR/QSAR analysis: physicochemical properties, toxicity, cancirogenicity, anticancer agents, anti-HIV-1 agents, QSPR/QSAR analysis for nanomaterials. He was participant of the following EC projects: DEMETRA, CHEMPREDICT, PROSIL, ORCHESTRA, ANTARES, OSIRIS, NanoBRIDGES, PreNanoTox, NanoPUZZLES etc. He is participant in work of Editorial Boards of scientific journals (as a reviewer). He has been visiting scientist in Jackson State University (USA, Mississippi), in 2006-2007.
Employment
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Istituto di Ricerche Farmacologiche Mario Negri 2009-up to present invited scientist in Istituto di Ricerche Farmacologiche Mario Negri IRCCS2009 - Present
Education
Education history is unavailable.
Projects & Funding
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LIFE-CONCERT contract (LIFE17 GIE/IT/000461) LIFE-CONCERT contract (LIFE17 GIE/IT/000461)
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LIFE-VERMEER contract (LIFE16 ENV/IT/000167) LIFE-VERMEER contract (LIFE16 ENV/IT/000167)
Publications (590)
- QSAR Models for Non-Effective Levels of Chemical Substances Using the CORAL Software Save
- QSAR Models for Sweetness: Can They Shape the Future of Nutritional Safety? Save
- QSAR Models for Repeated Dose Toxicity in Rats Using the CORAL Software Save
- QSPR models for water solubility of organic compounds using correlation intensity index and Las Vegas algorithm Save
- Simulation of the Impact of Pesticides on Pollinators Under Different Conditions Using Correlation Weighting of Quasi-SMILES Components Together with the Index of Ideality of Correlation (IIC) Save
- Simulation peptide toxicity using the fragments of local symmetry in amino acid sequences Save
- Simulation of Fish Acute Toxicity of Pharmaceuticals Using Simplified Molecular Input Line Entry System (SMILES) Notation as a Representation of Molecular Structure Save
- New QSPR/QSAR Models for Organic and Inorganic Compounds: Similarity and Dissimilarity Save
- In Silico Models of Biological Activities of Peptides Using the Coefficient of Conformism of a Correlative Prediction and the Las Vegas Algorithm Save
- Monte Carlo Simulation of Pesticide Toxicity for Rainbow Trout (Oncorhynchus mykiss) Using New Criteria of Predictive Potential Save
- Using the Coefficient of Conformism of a Correlative Prediction in Simulation of Cardiotoxicity Save
- Semi-Correlations for the Simulation of Dermal Toxicity Save
- Monte Carlo Simulation of Aromatic Molecule Adsorption on Multi-Walled Carbon Nanotube Surfaces Using Coefficient of Conformism of a Correlative Prediction (CCCP) Save
- Application of monomer structures and fragments of local symmetry for simulation of glass transition temperatures of polymers Save
- In Silico Simulation of Daphnia magna Immobilization Exposed to Mixtures of TiO2 Nanoparticles with Inorganic Compounds Save
- Novel two variable-QSPR analysis for authentication and typification of vegetable oils Save
- Quantitative Structure–Property Relationships (QSPR) for Materials Science Save
- Quantitative structure-property relationship for gas-chromatographic retention indices of volatile organic compounds in colored-quinoa seeds Save
- Simulation of the Long-Term Toxicity Towards Bobwhite Quail (Colinus virginianus) by the Monte Carlo Method Save
- Does the accounting of the local symmetry fragments in quasi-SMILES improve the predictive potential of the QSAR models of toxicity toward tadpoles? Save