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Promega
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Promega
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Image Search Results
Journal: Molecules
Article Title: Novel Arylsulfonylhydrazones as Breast Anticancer Agents Discovered by Quantitative Structure-Activity Relationships
doi: 10.3390/molecules28052058
Figure Lengend Snippet: Flowchart of the present study. QSAR models were derived based on the literature data; the best models were used to design a series of potential new anticancer agents; the compounds were screened in silico for drug likeness and ADME properties; the most prospective ones were synthesized and tested in vitro on BC cell lines.
Article Snippet: The most relevant descriptors were selected by a genetic algorithm using software
Techniques: Derivative Assay, In Silico, Synthesized, In Vitro
12 ], and compounds 5a – k —from Gaur et al. [ Journal: Molecules
Article Title: Novel Arylsulfonylhydrazones as Breast Anticancer Agents Discovered by Quantitative Structure-Activity Relationships
doi: 10.3390/molecules28052058
Figure Lengend Snippet: Training set used in the study for the derivation of QSAR models. Compounds 3a – o are collected from Senkardes et al. [
Article Snippet: The most relevant descriptors were selected by a genetic algorithm using software
Techniques:
Journal: Molecules
Article Title: Novel Arylsulfonylhydrazones as Breast Anticancer Agents Discovered by Quantitative Structure-Activity Relationships
doi: 10.3390/molecules28052058
Figure Lengend Snippet: Newly designed arylsulfonylhydrazones. The LE values for MCF-7 and MDA-MB-468 cell lines are predicted by the QSAR models derived in the study. The experimental LE values are obtained in vitro by MTT tests.
Article Snippet: The most relevant descriptors were selected by a genetic algorithm using software
Techniques: Derivative Assay, In Vitro
Journal: Molecules
Article Title: Novel Arylsulfonylhydrazones as Breast Anticancer Agents Discovered by Quantitative Structure-Activity Relationships
doi: 10.3390/molecules28052058
Figure Lengend Snippet: Flowchart of the present study. QSAR models were derived based on the literature data; the best models were used to design a series of potential new anticancer agents; the compounds were screened in silico for drug likeness and ADME properties; the most prospective ones were synthesized and tested in vitro on BC cell lines.
Article Snippet:
Techniques: Derivative Assay, In Silico, Synthesized, In Vitro
Journal: Molecules
Article Title: Novel Arylsulfonylhydrazones as Breast Anticancer Agents Discovered by Quantitative Structure-Activity Relationships
doi: 10.3390/molecules28052058
Figure Lengend Snippet: Newly designed arylsulfonylhydrazones. The LE values for MCF-7 and MDA-MB-468 cell lines are predicted by the QSAR models derived in the study. The experimental LE values are obtained in vitro by MTT tests.
Article Snippet:
Techniques: Derivative Assay, In Vitro