203 related articles for article (PubMed ID: 25913312)
1. Nonlinear QSAR modeling for predicting cytotoxicity of ionic liquids in leukemia rat cell line: an aid to green chemicals designing.
Gupta S; Basant N; Singh KP
Environ Sci Pollut Res Int; 2015 Aug; 22(16):12699-710. PubMed ID: 25913312
[TBL] [Abstract][Full Text] [Related]
2. Exploring simple, transparent, interpretable and predictive QSAR models for classification and quantitative prediction of rat toxicity of ionic liquids using OECD recommended guidelines.
Das RN; Roy K; Popelier PL
Chemosphere; 2015 Nov; 139():163-73. PubMed ID: 26117201
[TBL] [Abstract][Full Text] [Related]
3. Predicting carcinogenicity of diverse chemicals using probabilistic neural network modeling approaches.
Singh KP; Gupta S; Rai P
Toxicol Appl Pharmacol; 2013 Oct; 272(2):465-75. PubMed ID: 23856075
[TBL] [Abstract][Full Text] [Related]
4. Cytotoxicity estimation of ionic liquids based on their effective structural features.
Fatemi MH; Izadiyan P
Chemosphere; 2011 Jul; 84(5):553-63. PubMed ID: 21549407
[TBL] [Abstract][Full Text] [Related]
5. Toxicity of ionic liquids: database and prediction via quantitative structure-activity relationship method.
Zhao Y; Zhao J; Huang Y; Zhou Q; Zhang X; Zhang S
J Hazard Mater; 2014 Aug; 278():320-9. PubMed ID: 24996150
[TBL] [Abstract][Full Text] [Related]
6. Estimating sensory irritation potency of volatile organic chemicals using QSARs based on decision tree methods for regulatory purpose.
Gupta S; Basant N; Singh KP
Ecotoxicology; 2015 May; 24(4):873-86. PubMed ID: 25707485
[TBL] [Abstract][Full Text] [Related]
7. QSTR modeling for qualitative and quantitative toxicity predictions of diverse chemical pesticides in honey bee for regulatory purposes.
Singh KP; Gupta S; Basant N; Mohan D
Chem Res Toxicol; 2014 Sep; 27(9):1504-15. PubMed ID: 25167463
[TBL] [Abstract][Full Text] [Related]
8. Predictive QSAR modelling of algal toxicity of ionic liquids and its interspecies correlation with Daphnia toxicity.
Roy K; Das RN; Popelier PL
Environ Sci Pollut Res Int; 2015 May; 22(9):6634-41. PubMed ID: 25410313
[TBL] [Abstract][Full Text] [Related]
9. A detailed structural study of cytotoxicity effect of ionic liquids on the leukemia rat cell line IPC-81 by three dimensional quantitative structure toxicity relationship.
Farahani SR; Sohrabi MR; Ghasemi JB
Ecotoxicol Environ Saf; 2018 Aug; 158():256-265. PubMed ID: 29709763
[TBL] [Abstract][Full Text] [Related]
10. Development of QSAR model to predict the ecotoxicity of Vibrio fischeri using COSMO-RS descriptors.
Ghanem OB; Mutalib MIA; Lévêque JM; El-Harbawi M
Chemosphere; 2017 Mar; 170():242-250. PubMed ID: 28006757
[TBL] [Abstract][Full Text] [Related]
11. Quantitative structure-activity relationship (QSAR) prediction of (eco)toxicity of short aliphatic protic ionic liquids.
Peric B; Sierra J; Martí E; Cruañas R; Garau MA
Ecotoxicol Environ Saf; 2015 May; 115():257-62. PubMed ID: 25728357
[TBL] [Abstract][Full Text] [Related]
12. Predicting acute aquatic toxicity of structurally diverse chemicals in fish using artificial intelligence approaches.
Singh KP; Gupta S; Rai P
Ecotoxicol Environ Saf; 2013 Sep; 95():221-33. PubMed ID: 23764236
[TBL] [Abstract][Full Text] [Related]
13. Quantitative structure-toxicity relationship models for predication of toxicity of ionic liquids toward leukemia rat cell line IPC-81 based on index of ideality of correlation.
Ahmadi S; Lotfi S; Kumar P
Toxicol Mech Methods; 2022 May; 32(4):302-312. PubMed ID: 34724871
[TBL] [Abstract][Full Text] [Related]
14. In silico modelling for predicting the cationic hydrophobicity and cytotoxicity of ionic liquids towards the Leukemia rat cell line, Vibrio fischeri and Scenedesmus vacuolatus based on molecular interaction potentials of ions.
Cho CW; Ranke J; Arning J; Thöming J; Preiss U; Jungnickel C; Diedenhofen M; Krossing I; Stolte S
SAR QSAR Environ Res; 2013 Oct; 24(10):863-82. PubMed ID: 23985014
[TBL] [Abstract][Full Text] [Related]
15. Interspecies quantitative structure-toxicity-toxicity (QSTTR) relationship modeling of ionic liquids. Toxicity of ionic liquids to V. fischeri, D. magna and S. vacuolatus.
Das RN; Roy K; Popelier PL
Ecotoxicol Environ Saf; 2015 Dec; 122():497-520. PubMed ID: 26414597
[TBL] [Abstract][Full Text] [Related]
16. Norm index-based QSTR model to predict the eco-toxicity of ionic liquids towards Leukemia rat cell line.
Yan F; Lan T; Yan X; Jia Q; Wang Q
Chemosphere; 2019 Nov; 234():116-122. PubMed ID: 31207417
[TBL] [Abstract][Full Text] [Related]
17. Predicting human intestinal absorption of diverse chemicals using ensemble learning based QSAR modeling approaches.
Basant N; Gupta S; Singh KP
Comput Biol Chem; 2016 Apr; 61():178-96. PubMed ID: 26881740
[TBL] [Abstract][Full Text] [Related]
18. Antibacterial Activity of Imidazolium-Based Ionic Liquids Investigated by QSAR Modeling and Experimental Studies.
Hodyna D; Kovalishyn V; Rogalsky S; Blagodatnyi V; Petko K; Metelytsia L
Chem Biol Drug Des; 2016 Sep; 88(3):422-33. PubMed ID: 27086199
[TBL] [Abstract][Full Text] [Related]
19. Predictive modeling studies for the ecotoxicity of ionic liquids towards the green algae Scenedesmus vacuolatus.
Das RN; Roy K
Chemosphere; 2014 Jun; 104():170-6. PubMed ID: 24296027
[TBL] [Abstract][Full Text] [Related]
20. Elicitation of the most important structural properties of ionic liquids affecting ecotoxicity in limnic green algae; a QSAR approach.
Izadiyan P; Fatemi MH; Izadiyan M
Ecotoxicol Environ Saf; 2013 Jan; 87():42-8. PubMed ID: 23107477
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
