Table of Contents (powered by https://videoken.com)
0:00:00 Introduction to the Speaker
0:00:10 DrugBug: An AI-based platform to predict metabolism of drug molecules
0:01:10 The Human Microbiome : Our Second Genome
0:02:37 Big Data Growth in Biology: Astronomical or Genomical
0:03:21 Promiscuous Metabolism of Drugs by Human Gut Microbiome
0:05:03 Major Reactions and Pharmacological Consequences
0:06:58 Complex Metabolic Interactions in Gut Microbiome
0:07:28 A Cascade of Drug/Xenobiotic Metabolic reactions by Gut Microbiome
0:08:00 DrugBug Methodology: Key Steps
0:10:11 DrugBug Work Flow
0:11:13 DrugBug shows upto 97% Accuracy on Upsampled Datsaset using RF model
0:11:44 ToxiM: To predict the toxicity of the metabolites resulted from the microbial metabolism of xenobiotics
0:12:11 Case Study of Digoxin: DrugBug Prediction Analysis
0:13:13 Validation using Molecular Dynamics
0:14:05 Validation using Structural and Metabolomics Approaches
0:14:38 Tool DrugBug
0:14:58 Final Results After Step 3
0:15:20 Predicting the Metabolism of FDA-approved Drugs
0:15:55 Conclusion
0:17:00 Colorectal Cancer Gut Microbiome: ML-based Biomarkers for Early Diagnosis in Feces
0:18:05 Thank you
0:18:33 Q&A

Full Title : DrugBug : An AI-based platform to predict the metabolism of xenobiotics/drug molecules by human gut microbiome


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