100 related articles for article (PubMed ID: 29753609)
1. SAR for gastro-intestinal absorption and blood-brain barrier permeation of pesticides.
Toropov AA; Toropova AP; Benfenati E; Dorne JL
Chem Biol Interact; 2018 Jun; 290():1-5. PubMed ID: 29753609
[TBL] [Abstract][Full Text] [Related]
2. QSAR model for blood-brain barrier permeation.
Toropov AA; Toropova AP; Beeg M; Gobbi M; Salmona M
J Pharmacol Toxicol Methods; 2017 Nov; 88(Pt 1):7-18. PubMed ID: 28476566
[TBL] [Abstract][Full Text] [Related]
3. Prediction of antimicrobial activity of large pool of peptides using quasi-SMILES.
Toropova AP; Toropov AA; Benfenati E; Leszczynska D; Leszczynski J
Biosystems; 2018 Jul; 169-170():5-12. PubMed ID: 29800627
[TBL] [Abstract][Full Text] [Related]
4. CORAL Software: Analysis of Impacts of Pharmaceutical Agents Upon Metabolism via the Optimal Descriptors.
Toropova MA; Raska I; Toporova AP; Raskova M
Curr Drug Metab; 2017; 18(6):500-510. PubMed ID: 28260514
[TBL] [Abstract][Full Text] [Related]
5. QSAR models for predicting acute toxicity of pesticides in rainbow trout using the CORAL software and EFSA's OpenFoodTox database.
Toropov AA; Toropova AP; Marzo M; Dorne JL; Georgiadis N; Benfenati E
Environ Toxicol Pharmacol; 2017 Jul; 53():158-163. PubMed ID: 28599185
[TBL] [Abstract][Full Text] [Related]
6. Hybrid optimal descriptors as a tool to predict skin sensitization in accordance to OECD principles.
Toropova AP; Toropov AA
Toxicol Lett; 2017 Jun; 275():57-66. PubMed ID: 28359801
[TBL] [Abstract][Full Text] [Related]
7. Monte Carlo QSAR models for predicting organophosphate inhibition of acetycholinesterase.
Veselinović JB; Nikolić GM; Trutić NV; Živković JV; Veselinović AM
SAR QSAR Environ Res; 2015 Jun; 26(6):449-60. PubMed ID: 26043064
[TBL] [Abstract][Full Text] [Related]
8. Prediction of the adsorption coefficients of some aromatic compounds on multi-wall carbon nanotubes by the Monte Carlo method.
Ahmadi S; Akbari A
SAR QSAR Environ Res; 2018 Nov; 29(11):895-909. PubMed ID: 30332923
[TBL] [Abstract][Full Text] [Related]
9. Prediction of retention characteristics of heterocyclic compounds.
Nesměrák K; Toropov AA; Toropova AP; Yildiz I; Yalcin I; Brozikova M; Klimešová V; Waisser K
Anal Bioanal Chem; 2015 Dec; 407(30):9185-9. PubMed ID: 26427498
[TBL] [Abstract][Full Text] [Related]
10. CORAL: Binary classifications (active/inactive) for drug-induced liver injury.
Toropova AP; Toropov AA
Toxicol Lett; 2017 Feb; 268():51-57. PubMed ID: 28111161
[TBL] [Abstract][Full Text] [Related]
11. The application of new HARD-descriptor available from the CORAL software to building up NOAEL models.
Toropova AP; Toropov AA; Marzo M; Escher SE; Dorne JL; Georgiadis N; Benfenati E
Food Chem Toxicol; 2018 Feb; 112():544-550. PubMed ID: 28366846
[TBL] [Abstract][Full Text] [Related]
12. The Monte Carlo technique as a tool to predict LOAEL.
Veselinović JB; Veselinović AM; Toropova AP; Toropov AA
Eur J Med Chem; 2016 Jun; 116():71-75. PubMed ID: 27060758
[TBL] [Abstract][Full Text] [Related]
13. QSAR as a random event: modeling of nanoparticles uptake in PaCa2 cancer cells.
Toropov AA; Toropova AP; Puzyn T; Benfenati E; Gini G; Leszczynska D; Leszczynski J
Chemosphere; 2013 Jun; 92(1):31-7. PubMed ID: 23566368
[TBL] [Abstract][Full Text] [Related]
14. coral Software: QSAR for Anticancer Agents.
Benfenati E; Toropov AA; Toropova AP; Manganaro A; Gonella Diaza R
Chem Biol Drug Des; 2011 Jun; 77(6):471-6. PubMed ID: 21435183
[TBL] [Abstract][Full Text] [Related]
15. SMILES-based QSAR models for the calcium channel-antagonistic effect of 1,4-dihydropyridines.
Veselinović AM; Milosavljević JB; Toropov AA; Nikolić GM
Arch Pharm (Weinheim); 2013 Feb; 346(2):134-9. PubMed ID: 23280520
[TBL] [Abstract][Full Text] [Related]
16. The Utilization of the Monte Carlo Technique for Rational Drug Discovery.
Toropova MA; Raška I; Toropov AA; Rašková M
Comb Chem High Throughput Screen; 2016; 19(8):676-687. PubMed ID: 27457244
[TBL] [Abstract][Full Text] [Related]
17. CORAL: Monte Carlo Method to Predict Endpoints for Medical Chemistry.
Toropova AP; Toropov AA
Mini Rev Med Chem; 2018 Feb; 18(5):382-391. PubMed ID: 28971771
[TBL] [Abstract][Full Text] [Related]
18. The validation of predictive potential via the system of self-consistent models: the simulation of blood-brain barrier permeation of organic compounds.
Toropova AP; Toropov AA; Roncaglioni A; Benfenati E; Leszczynska D; Leszczynski J
J Mol Model; 2023 Jun; 29(7):218. PubMed ID: 37382683
[TBL] [Abstract][Full Text] [Related]
19. SMILES-based QSAR model for arylpiperazines as high-affinity 5-HT(1A) receptor ligands using CORAL.
Veselinović AM; Milosavljević JB; Toropov AA; Nikolić GM
Eur J Pharm Sci; 2013 Feb; 48(3):532-41. PubMed ID: 23287365
[TBL] [Abstract][Full Text] [Related]
20. Qualitative and quantitative structure-activity relationship modelling for predicting blood-brain barrier permeability of structurally diverse chemicals.
Gupta S; Basant N; Singh KP
SAR QSAR Environ Res; 2015; 26(2):95-124. PubMed ID: 25629764
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]