Search Results

Chemical modification patterns for microRNA therapeutic mimics: a structure-activity relationship (SAR) case-study on miR-200c.

• Authors : Garreau M; Medicinal Chemistry, Research & Early Development, Respiratory & Immunology, BioPharmaceutical R&D, AstraZeneca, Gothenburg, Sweden.; Weidner J

Subjects: MicroRNAs*/MicroRNAs*/MicroRNAs*/genetics; Structure-Activity Relationship ; Biomimetics

• Source: Nucleic acids research [Nucleic Acids Res] 2024 Apr 12; Vol. 52 (6), pp. 2792-2807.Publisher: Oxford University Press Country of Publication: England NLM ID: 0411011 Publication Model: Print Cited Medium:

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deepGraphh: AI-driven web service for graph-based quantitative structure-activity relationship analysis.

• Authors : Gautam V; Department of Computational Biology, Indraprastha Institute of Information Technology-Delhi (IIIT-Delhi), Okhla, Phase III, New Delhi-110020, India.; Gupta R

Subjects: Artificial Intelligence* ; Quantitative Structure-Activity Relationship*; Humans

• Source: Briefings in bioinformatics [Brief Bioinform] 2022 Sep 20; Vol. 23 (5).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Structure-activity relationship read-across and transcriptomics for branched carboxylic acids.

• Authors : Wu S; Global Product Stewardship, The Procter and Gamble Company, Mason, Ohio 45040, USA.; Ellison C

Subjects: Carboxylic Acids*/Carboxylic Acids*/Carboxylic Acids*/toxicity ; Transcriptome*; Molecular Docking Simulation

• Source: Toxicological sciences : an official journal of the Society of Toxicology [Toxicol Sci] 2023 Feb 17; Vol. 191 (2), pp. 343-356.Publisher: Oxford University Press Country of Publication: United States NLM ID: 9805461 Publication Model: Print Cited

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Improvement of quantitative structure-activity relationship (QSAR) tools for predicting Ames mutagenicity: outcomes of the Ames/QSAR International Challenge Project.

• Authors : Honma M; Division of Genetics and Mutagenesis, National Institute of Health Sciences, Tonomachi, Kawasaki-ku, Kanagawa, Japan.; Kitazawa A

Subjects: Quantitative Structure-Activity Relationship*; Mutagenesis/Mutagenesis/Mutagenesis/*drug effects ; Mutagens/Mutagens/Mutagens/*toxicity

• Source: Mutagenesis [Mutagenesis] 2019 Mar 06; Vol. 34 (1), pp. 3-16.Publisher: Oxford University Press Country of Publication: England NLM ID: 8707812 Publication Model: Print Cited Medium:

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Cloud 3D-QSAR: a web tool for the development of quantitative structure-activity relationship models in drug discovery.

• Authors : Wang YL; College of Chemistry, Central China Normal University (CCNU).; Wang F

Subjects: Drug Design* ; Drug Discovery* ; Internet*

• Source: Briefings in bioinformatics [Brief Bioinform] 2021 Jul 20; Vol. 22 (4).Publisher: Oxford University Press Country of Publication: England NLM ID: 100912837 Publication Model: Print Cited Medium:

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Synthesis and structure-activity relationship study of aldose reductase inhibiting marine alkaloid lukianol A and its derivatives

• Authors : Ishibashi, Fumito; Zha, Shijiao; Kondo, Taiyo

Subjects: marine alkaloid; lukianol; aldose reductase inhibitor

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Structure-Activity Relationship of Neuroactive Steroids, Midazolam, and Perampanel Toward Mitigating Tetramine-Triggered Activity in Murine Hippocampal Neuronal Networks.

• Authors : Antrobus S; Department of Molecular Biosciences, School of Veterinary Medicine, University of California, Davis, Davis, California 95616, USA.; Pressly B

Subjects: Neurosteroids*; Animals ; Bridged-Ring Compounds

• Source: Toxicological sciences : an official journal of the Society of Toxicology [Toxicol Sci] 2021 Apr 12; Vol. 180 (2), pp. 325-341.Publisher: Oxford University Press Country of Publication: United States NLM ID: 9805461 Publication Model: Print Cited

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Comparison of in silico, in vitro, and in vivo toxicity benchmarks suggests a role for ToxCast data in ecological hazard assessment.

• Authors : Schaupp CM; US Environmental Protection Agency, Great Lakes Toxicology and Ecology Division, Center for Computational Toxicology and Exposure, Duluth, Minnesota 55804, USA.; Oak Ridge Institute for Science and Education, Oak Ridge, Tennessee 37830, USA.

Subjects: Quantitative Structure-Activity Relationship* ; Benchmarking*; Risk Assessment

• Source: Toxicological sciences : an official journal of the Society of Toxicology [Toxicol Sci] 2023 Sep 28; Vol. 195 (2), pp. 145-154.Publisher: Oxford University Press Country of Publication: United States NLM ID: 9805461 Publication Model: Print Cited

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Structure-activity relationship optimization for lassa virus fusion inhibitors targeting the transmembrane domain of GP2

• Authors : Guangshun Zhang; Junyuan Cao; Yan Cai

Subjects: Cytology; QH573-671; Animal biochemistry

• Source: Protein & Cell, Vol 10, Iss 2, Pp 137-142 (2019)

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Applying quantitative structure-activity relationship (QSAR) methodology for modeling postmortem redistribution of benzodiazepines and tricyclic antidepressants.

• Authors : Giaginis C; 1Department of Food Science and Nutrition, School of Environment, University of the Aegean, Mitropoliti Ioakeim 2 Street, Myrina, Lemnos GR 81400, Greece.; Tsantili-Kakoulidou A

Subjects: Postmortem Changes* ; Quantitative Structure-Activity Relationship*; Antidepressive Agents, Tricyclic/Antidepressive Agents, Tricyclic/Antidepressive Agents, Tricyclic/*analysis

• Source: Journal of analytical toxicology [J Anal Toxicol] 2014 Jun; Vol. 38 (5), pp. 242-8. Date of Electronic Publication: 2014 Mar 28.Publisher: Oxford University Press Country of Publication: England NLM ID: 7705085 Publication Model: Print-Electronic Cited

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