Development of In Silico Protocols to Predict Structural Insights into the Metabolic Activation Pathways of Xenobiotics.

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Review of Ligand Specificity Factors for CYP1A Subfamily Enzymes from Molecular Modeling Studies Reported to-Date.

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Development of In Silico Protocols to Predict Structural Insights into the Metabolic Activation Pathways of Xenobiotics.

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2017 nî lūn-bûn

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Development of In Silico Proto ...... ation Pathways of Xenobiotics.

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Development of In Silico Proto ...... ation Pathways of Xenobiotics.

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Development of In Silico Proto ...... ation Pathways of Xenobiotics.

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Development of In Silico Proto ...... ation Pathways of Xenobiotics.

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Jamal M Arif

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M Kalim A Khan

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Salman Akhtar

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P2860

CHARMM: the biomolecular simulation program

Novel Marine Compounds: Anticancer or Genotoxic?

Cytochrome P450 1b1 in polycyclic aromatic hydrocarbon (PAH)-induced skin carcinogenesis: Tumorigenicity of individual PAHs and coal-tar extract, DNA adduction and expression of select genes in the Cyp1b1 knockout mouse

Arginine residues at internal positions in a protein are always charged

Cytochrome P450 CYP1B1 determines susceptibility to 7, 12-dimethylbenz[a]anthracene-induced lymphomas

Metabolism of benzo[a]pyrene and benzo[a]pyrene-7,8-diol by human cytochrome P450 1B1

Membrane topology and cell surface targeting of microsomal epoxide hydrolase. Evidence for multiple topological orientations

Mouse lung CYP1A1 catalyzes the metabolic activation of 2-amino-1-methyl-6-phenylimidazo[4,5-b]pyridine (PhIP)

In vitro metabolism of benzo[a]pyrene and dibenzo[def,p]chrysene in rodent and human hepatic microsomes

Polycyclic aromatic hydrocarbons as skin carcinogens: comparison of benzo[a]pyrene, dibenzo[def,p]chrysene and three environmental mixtures in the FVB/N mouse

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s12539-017-0237-4

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scholarly article

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10.1007/S12539-017-0237-4

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2017-05-19T00:00:00Z

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28527150

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Development of In Silico Protocols to Predict Structural Insights into the Metabolic Activation Pathways of Xenobiotics.

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P2860

P2860

Development of In Silico Protocols to Predict Structural Insights into the Metabolic Activation Pathways of Xenobiotics.

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