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V Kamenska

Showing results (1-10 of 9) with videos related to

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Arzneimittel-Forschung|April 1, 1996
Application of the dynamic quantitative structure-activity relationship method for modeling antibacterial activity of quinolone derivativesV Kamenska, O Mekenyan, A Sterev, et al.
Arzneimittel-Forschung|December 1, 1996
Computer design and syntheses of antiulcer compounds. 2nd Communication: N-substituted N'-[3-[3-(1-piperidinomethyl)phenoxy]propyl]ureasV Kamenska, Z Nedyalkova, T Invanov, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|December 2, 2000
A computationally based identification algorithm for estrogen receptor ligands: part 1. Predicting hERalpha binding affinityS Bradbury, V Kamenska, P Schmieder, et al.
Arzneimittel-Forschung|December 1, 1993
Bronchospasmolytic activity and toxicity modelling of theophylline derivatives by a microcomputer based methodO Mekenyan, G Stoyanova, V Kamenska, et al.
Journal of Applied Toxicology : JAT|July 1, 1996
'Dynamic' QSAR for semicarbazide-induced mortality in frog embryosO G Mekenyan, T W Schultz, G D Veith, et al.
SAR and QSAR in Environmental Research|December 14, 2002
Development and validation of an average mammalian estrogen receptor-based QSAR modelO Mekenya, V Kamenska, R Serafimova, et al.
SAR and QSAR in Environmental Research|April 29, 2004
Predicting the biodegradation products of perfluorinated chemicals using CATABOLS Dimitrov, V Kamenska, J D Walker, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|December 2, 2000
A computationally based identification algorithm for estrogen receptor ligands: part 2. Evaluation of a hERalpha binding affinity modelO G Mekenyan, V Kamenska, P K Schmieder, et al.
Arzneimittel-Forschung|November 1, 1996
Computer design and syntheses of antiulcer compounds. 1st communication: N-[3-[3-(1-piperidinomethyl)phenoxy]propyl]amines and benzamidesV Kamenska, T Ivanov, Z Nedyalkova, et al.
Pageof 1

Showing results (1-10 of 9) with videos related to

Sort By:
Pageof 1
Arzneimittel-Forschung|April 1, 1996
Application of the dynamic quantitative structure-activity relationship method for modeling antibacterial activity of quinolone derivativesV Kamenska, O Mekenyan, A Sterev, et al.
Arzneimittel-Forschung|December 1, 1996
Computer design and syntheses of antiulcer compounds. 2nd Communication: N-substituted N'-[3-[3-(1-piperidinomethyl)phenoxy]propyl]ureasV Kamenska, Z Nedyalkova, T Invanov, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|December 2, 2000
A computationally based identification algorithm for estrogen receptor ligands: part 1. Predicting hERalpha binding affinityS Bradbury, V Kamenska, P Schmieder, et al.
Arzneimittel-Forschung|December 1, 1993
Bronchospasmolytic activity and toxicity modelling of theophylline derivatives by a microcomputer based methodO Mekenyan, G Stoyanova, V Kamenska, et al.
Journal of Applied Toxicology : JAT|July 1, 1996
'Dynamic' QSAR for semicarbazide-induced mortality in frog embryosO G Mekenyan, T W Schultz, G D Veith, et al.
SAR and QSAR in Environmental Research|December 14, 2002
Development and validation of an average mammalian estrogen receptor-based QSAR modelO Mekenya, V Kamenska, R Serafimova, et al.
SAR and QSAR in Environmental Research|April 29, 2004
Predicting the biodegradation products of perfluorinated chemicals using CATABOLS Dimitrov, V Kamenska, J D Walker, et al.
Toxicological Sciences : an Official Journal of the Society of Toxicology|December 2, 2000
A computationally based identification algorithm for estrogen receptor ligands: part 2. Evaluation of a hERalpha binding affinity modelO G Mekenyan, V Kamenska, P K Schmieder, et al.
Arzneimittel-Forschung|November 1, 1996
Computer design and syntheses of antiulcer compounds. 1st communication: N-[3-[3-(1-piperidinomethyl)phenoxy]propyl]amines and benzamidesV Kamenska, T Ivanov, Z Nedyalkova, et al.
Pageof 1