about
In silico methods to predict drug toxicity.Optimal descriptor as a translator of eclectic data into endpoint prediction: mutagenicity of fullerene as a mathematical function of conditions.Optimal nano-descriptors as translators of eclectic data into prediction of the cell membrane damage by means of nano metal-oxides.Optimal descriptor as a translator of eclectic data into prediction of cytotoxicity for metal oxide nanoparticles under different conditions.The Monte Carlo method based on eclectic data as an efficient tool for predictions of endpoints for nanomaterials - two examples of application.Nano-QSAR in cell biology: Model of cell viability as a mathematical function of available eclectic data.Additive SMILES-based carcinogenicity models: Probabilistic principles in the search for robust predictionsQSAR models for toxicity of organic substances to Daphnia magna built up by using the CORAL freeware.CORAL: classification model for predictions of anti-sarcoma activity.QSAR modeling of the antimicrobial activity of peptides as a mathematical function of a sequence of amino acids.OCWLGI descriptors: theory and praxis.Comprehension of drug toxicity: software and databases.InChI-based optimal descriptors: QSAR analysis of fullerene[C60]-based HIV-1 PR inhibitors by correlation balance.Utilization of the Monte Carlo method to build up QSAR models for hemolysis and cytotoxicity of antimicrobial peptides.A quasi-QSPR modelling for the photocatalytic decolourization rate constants and cellular viability (CV%) of nanoparticles by CORAL.CORAL and Nano-QFAR: Quantitative feature - Activity relationships (QFAR) for bioavailability of nanoparticles (ZnO, CuO, Co3O4, and TiO2).CORAL: Binary classifications (active/inactive) for drug-induced liver injury.QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells.CORAL software: prediction of carcinogenicity of drugs by means of the Monte Carlo method.Discovery of Potential, Non-Toxic Influenza Virus Inhibitor by Computational Techniques.CORAL: Monte Carlo Method as a Tool for the Prediction of the Bioconcentration Factor of Industrial Pollutants.Monte Carlo-based quantitative structure-activity relationship models for toxicity of organic chemicals to Daphnia magna.QSAR modelling of the toxicity to Tetrahymena pyriformis by balance of correlations.Building up a QSAR model for toxicity toward Tetrahymena pyriformis by the Monte Carlo method: A case of benzene derivatives.Nano-QSAR: Model of mutagenicity of fullerene as a mathematical function of different conditions.Prediction of retention characteristics of heterocyclic compounds.Large-scale structure-activity relationship study of hepatitis C virus NS5B polymerase inhibition using SMILES-based descriptors.Quasi-SMILES and nano-QFAR: united model for mutagenicity of fullerene and MWCNT under different conditions.CORAL: model for no observed adverse effect level (NOAEL).QSAR models for the reactivation of sarin inhibited acetylcholinesterase by quaternary pyridinium oximes based on Monte Carlo method.QSAR model as a random event: A case of rat toxicity.Mutagenicity: QSAR - quasi-QSAR - nano-QSAR.QSAR Models for the Reactivation of Sarin Inhibited AChE by Quaternary Pyridinium Oximes Based on Monte Carlo Method.Using nano-QSAR to predict the cytotoxicity of metal oxide nanoparticles.Prediction of aquatic toxicity: use of optimization of correlation weights of local graph invariants.SMILES-based quantitative structure-property relationships for half-wave potential of N-benzylsalicylthioamides.SMILES-based QSAR models for the calcium channel-antagonistic effect of 1,4-dihydropyridines.QSPR modeling the aqueous solubility of alcohols by optimization of correlation weights of local graph invariants.Optimal descriptor as a translator of eclectic information into the prediction of membrane damage by means of various TiO(2) nanoparticles.CORAL: QSPR modeling of rate constants of reactions between organic aromatic pollutants and hydroxyl radical.
P50
Q30432339-2C3446F9-0E0E-4676-AB15-3FB9EA53D3D6Q30697213-E2BEC4CB-FB01-42FA-B1B2-B1AD072F7A7AQ30851256-DE5351A6-304C-485A-B86A-50E4901BE1E0Q30873774-68C2830A-24F1-4586-92AF-99FC54133B88Q30905931-F9CAFF9B-721C-43DF-A1F0-D56708C5BF8CQ31154672-C75F51C6-3876-48F9-810D-B51FB047229BQ33501704-3EBB85B6-03DA-4E39-98B2-4E9EEB08BC0AQ34089671-E899E39E-42DB-4E4F-ABD1-1C4A036B6CEFQ34569183-EF314B62-0421-4550-8324-46276149AA8CQ35802621-DDB481F7-A340-4CDD-8850-1982A3E23904Q38108788-7BCE14B6-25FB-4DE1-8C69-100C9BAEDB63Q38183508-3E5B1D48-DC68-43F8-B28A-7331B0BDDC33Q38376068-22DE85DC-74DA-4C9C-8D3B-2DFAB20F4E2CQ38763326-9B6DDC1D-7AE5-4D67-BD7E-38E6DC78019AQ38917835-4DE702AA-3207-43EC-A628-ADB1F71B4C1AQ38963887-667D5D8D-726A-48A3-9C0D-D5AEBA83AAC3Q39006753-AEEE3A63-4741-488B-92E9-060CCD2DC45FQ39169538-345BD445-FE71-41C0-889B-FFE076AC2BECQ39252764-55096DAE-2FED-4787-8382-04118B00F99CQ39530777-D91AD74D-8FD3-4DA7-B5C8-A2654B73D044Q39535798-9F693F40-0B86-463F-BFE4-06447B8899F4Q39825212-D4CA5AB9-A2C1-4FB1-B24B-2B1E5221360CQ39955425-23DBBFBB-D36F-42C9-A48E-C16340CBC6FDQ40018441-3292CE41-49E7-498D-9717-62B88A97777DQ40320958-1C89AC47-DA75-4EA8-BEA9-02A159104A0AQ40477403-7058A1B5-B541-478A-A14A-A97BE142EC99Q40747990-460A7B3A-CF60-4CCF-9537-ED526968B547Q40887481-4A00114A-221C-4617-A7FD-1CA465B03DFCQ41104543-64C40F79-403D-4B05-BF9A-6A1BD5FE9EE4Q41255430-FBAC6646-9596-4F6A-89B4-5DE8AF0D05B8Q41374477-E9D667D5-289C-4414-AF69-CCED9AD7AF70Q41397699-2FC83030-BFCF-4A5E-8F22-3F6766D301EEQ41723254-04308DD8-DC1D-495B-B1B8-50F793F65F90Q43415971-FD8629EC-7009-4E66-B78E-265CD622F0A2Q44373350-709DDC68-C769-4BB8-A4B9-7D8FB4F66B89Q45136069-8935BD48-9721-4B6D-8755-F354059BEA3DQ45165226-726EFD53-386F-4118-A679-FBC792E09AC3Q45196678-427F937E-B5E7-448E-A011-72D3A2C4E2F4Q45413234-BC7199A0-A7E2-425E-AF3C-442CB331E0E1Q45839678-63EFEBAA-1101-409A-A3EE-C9FCF1ABEB18
P50
description
hulumtues
@sq
onderzoeker
@nl
researcher
@en
հետազոտող
@hy
name
Andrey Toropov
@ast
Andrey Toropov
@en
Andrey Toropov
@es
Andrey Toropov
@nl
type
label
Andrey Toropov
@ast
Andrey Toropov
@en
Andrey Toropov
@es
Andrey Toropov
@nl
prefLabel
Andrey Toropov
@ast
Andrey Toropov
@en
Andrey Toropov
@es
Andrey Toropov
@nl
P1053
I-1189-2014
P106
P1153
7102208151
P21
P2456
P31
P3829
P496
0000-0001-6864-6340