(quantitative) structure-activity relationships (q)sar

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(Quantitative) Structure-Activity Relationships (Q)SAR

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(Quantitative) Structure-Activity Relationships (Q)SAR. Why QSAR. Safety evaluation Alternative testing methods High throughput, efficiency Predictive value. What is QSAR. In silico toxicity testing “Machine learning” method Pattern recognition. Applications. - PowerPoint PPT Presentation

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Page 1: (Quantitative) Structure-Activity Relationships (Q)SAR

(Quantitative) Structure-Activity Relationships

(Q)SAR

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Why QSAR

• Safety evaluation

• Alternative testing methods

• High throughput, efficiency

• Predictive value

Page 3: (Quantitative) Structure-Activity Relationships (Q)SAR

What is QSAR

• In silico toxicity testing

• “Machine learning” method

• Pattern recognition

Page 4: (Quantitative) Structure-Activity Relationships (Q)SAR

Applications

• Drug discovery - mechanism based design

• Drug development - efficacy/toxicity

• Environmental toxicity - human and wildlife

• Environmental fate - accumulation, biodegradation, photodegradation, etc

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Categories of chemicals

• Drugs: agonists, antagonists, inhibitors of specific molecules

• POPs• Endocrine disruptors• Carcinogens• Narcotics in aquatic environment• Pesticides• Neurotoxins

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Mutagenicity

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Other in vitro tests

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Mutagenicity in vivo

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Carcinogenicity

FDA Cancer Male Rat CommercialCDER Proprietary MRFDA Cancer Female RatCDER Proprietary FRFDA Cancer Male MouseCDER Proprietary MMFDA Cancer Female MouseCDER Proprietary FM

CPDB Rat TD50 mg/kg DK-EPACPDB Mouse TD50 mg/kgCPDB Liver Specific (Rat or Mouse)

To open the database, visit http://ecbqsar.jrc.it

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Tamura 2003 OP pesticides and androgen receptor

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Structure analogues of non-steroidal antiandrogens

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Testosterone antagonism by methylparathion and ethylfenitrothion

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Structure alignment of DHT and fenitrothion in receptor binding site

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Androgen receptor conformation and

critical residues for ligand interaction