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Toxicology Mechanisms and Methods Volume 28, 2018 - Issue 5
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Research Article

Mutagenicity, anticancer activity and blood brain barrier: similarity and dissimilarity of molecular alerts

Andrey A. ToropovDepartment of Environmental Health Sciences, Laboratory of Environmental Chemistry and Toxicology, IRCCS – Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy; ORCID Iconhttp://orcid.org/0000-0001-6864-6340View further author information
ORCID Icon,
Alla P. ToropovaDepartment of Environmental Health Sciences, Laboratory of Environmental Chemistry and Toxicology, IRCCS – Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy; Correspondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-4194-9963View further author information
ORCID Icon,
Emilio BenfenatiDepartment of Environmental Health Sciences, Laboratory of Environmental Chemistry and Toxicology, IRCCS – Istituto di Ricerche Farmacologiche Mario Negri, Milano, Italy; View further author information
&
Mario SalmonaDepartment of Molecular Biochemistry and Pharmacology, Laboratory of Pharmacodynamics and Pharmacokinetics, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milano, ItalyView further author information
Pages 321-327 | Received 02 Oct 2017, Accepted 24 Dec 2017, Published online: 16 Jan 2018

Citations (11)

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Read on this site (3)

Andrey A. Toropov, Alla P. Toropova, P. Ganga Raju Achary, Maria Raškova & Ivan Raška. (2022) The searching for agents for Alzheimer’s disease treatment via the system of self-consistent models. Toxicology Mechanisms and Methods 32:7, pages 549-557.
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A.P. Toropova, A.A. Toropov, E.L. Viganò, E. Colombo, A. Roncaglioni & E. Benfenati. (2022) Carcinogenicity prediction using the index of ideality of correlation. SAR and QSAR in Environmental Research 33:6, pages 419-428.
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Andrey A. Toropov & Alla P. Toropova. (2019) Use of the index of ideality of correlation to improve predictive potential for biochemical endpoints. Toxicology Mechanisms and Methods 29:1, pages 43-52.
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Articles from other publishers (8)

Bhawna, Sunil Kumar, Parvin Kumar & Ashwani Kumar. (2024) Correlation intensity index-index of ideality of correlation: A hyphenated target function for furtherance of MAO-B inhibitory activity assessment. Computational Biology and Chemistry 108, pages 107975.
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Alla P. Toropova, Andrey A. Toropov, Alessandra Roncaglioni, Emilio Benfenati, Danuta Leszczynska & Jerzy Leszczynski. (2023) The validation of predictive potential via the system of self-consistent models: the simulation of blood–brain barrier permeation of organic compounds. Journal of Molecular Modeling 29:7.
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Andrey A. Toropov, Maria Raskova, Ivan RaskaJr.Jr. & Alla P. Toropova. 2023. QSPR/QSAR Analysis Using SMILES and Quasi-SMILES. QSPR/QSAR Analysis Using SMILES and Quasi-SMILES 3 24 .
Serena Manganelli, Alessio Gamba, Erika Colombo & Emilio Benfenati. 2022. In Silico Methods for Predicting Drug Toxicity. In Silico Methods for Predicting Drug Toxicity 479 495 .
Andrey A. Toropov, Alla P. Toropova, Marco Marzo, Edoardo Carnesecchi, Gianluca Selvestrel & Emilio Benfenati. (2020) Pesticides, cosmetics, drugs: identical and opposite influences of various molecular features as measures of endpoints similarity and dissimilarity. Molecular Diversity 25:2, pages 1137-1144.
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Andrey A. Toropov, Alla P. Toropova, Edoardo Carnesecchi, Emilio Benfenati & Jean Lou Dorne. (2020) The index of ideality of correlation and the variety of molecular rings as a base to improve model of HIV-1 protease inhibitors activity. Structural Chemistry 31:4, pages 1441-1448.
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Andrey A. Toropov & Alla P. Toropova. (2020) QSPR/QSAR: State-of-Art, Weirdness, the Future. Molecules 25:6, pages 1292.
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Alla P. Toropova, Andrey A. Toropov, Emilio Benfenati, Danuta Leszczynska & Jerzy Leszczynski. (2019) Virtual Screening of Anti-Cancer Compounds: Application of Monte Carlo Technique. Anti-Cancer Agents in Medicinal Chemistry 19:2, pages 148-153.
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