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RESEARCH ARTICLECombining MetaboliteBased Pharmacophores with Bayesian Machine Learning Models for Mycobacterium tuberculosis Drug Discovery Sean Ekins1,2×, Peter B. Madrid3×, Malaria Sarker3, Shagging
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01
Collect information on metabolites related to the target drug.
02
Create 3D structures of the metabolites using software or databases.
03
Identify common pharmacophores among the metabolites.
04
Combine the pharmacophores to create a composite pharmacophore
05
Use the composite pharmacophore for virtual screening or docking studies to identify potential new drugs.

Who needs combining metabolite-based pharmacophores with?

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Researchers in drug discovery and development
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Pharmaceutical companies
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Scientists studying drug metabolism
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Combining metabolite-based pharmacophores with is combining metabolite structures and pharmacophores to identify potential drug candidates.
Researchers and pharmaceutical companies are required to file combining metabolite-based pharmacophores with.
Combining metabolite-based pharmacophores can be filled out by inputting the metabolite structures and pharmacophores into a specialized software or database.
The purpose of combining metabolite-based pharmacophores is to identify potential drug candidates with improved efficacy and reduced side effects.
The information reported on combining metabolite-based pharmacophores includes the metabolite structures, pharmacophores, and any potential drug candidates identified.
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