1 / 11

Lecture 6: Drug resistance mutations and model developments

CZ5225 Methods in Computational Biology. Lecture 6: Drug resistance mutations and model developments. Outline. What is the drug resistance? Example of Drug Resistance Mutations. Prediction of drug resistant mutations. The Needs Methods Structure based Sequence based

Download Presentation

Lecture 6: Drug resistance mutations and model developments

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. CZ5225 Methods in Computational Biology Lecture 6: Drug resistance mutations and model developments

  2. Outline • What is the drug resistance? • Example of Drug Resistance Mutations. • Prediction of drug resistant mutations. • The Needs • Methods • Structure based • Sequence based • Statistical learning methods • Simple rules

  3. What is the drug resistance? • Organisms are said to be drug-resistant when drugs meant to neutralize them have reduced effect or even no effect. • Main cause of drug fail during the treatment of infectious disease , cancers (chemotherapy) • Main cause of the drug resistance: • Mutation in drug-interacting disease proteins(genetic resistance) • Development of alternative disease related pathway

  4. Example of Drug Resistance Mutations • HIV-1 • Protease mutations (could be quickly developed) • Integrase mutations • …… • …… Henderson L. and Arthur L. 2005. NIH AIDS Research and Reference Reagent Program

  5. The needs for drug resistance mutations prediction • The molecular analysis of drug resistance mechanisms • Design new agents to against resistant strains • Guide the clinical regimen to fight with disease

  6. Methods for mechanistic study and prediction of resistance mutations • Structure-based approaches • molecular modeling approach • evolutionary simulation model • neural network model • Sequence-based approaches • Statistical learning methods • Neural networks (NN) (classification, association, regression) • Support vector machines (SVM) )(classification, regression) • Decision tree (DT) • Simple rules (HIVdb, HIValg, ARS, and VGI etc)

  7. Methods for mechanistic study and prediction of resistance mutations • Statistical learning methods • Neural networks (NN) (classification, association, regression) • Support vector machines (SVM) )(classification, regression) • Decision tree (DT)

  8. Penalty Penalty Penalty Penalty Penalty Penalty Penalty Penalty Penalty Penalty Penalty Methods for mechanistic study and prediction of resistance mutations • Simple rules Phenotypic Drugs Protein Mutations Genotypic

  9. Penalty Penalty Penalty Penalty Penalty Penalty Penalty Penalty Methods for mechanistic study and prediction of resistance mutations • Simple rules susceptible potential low-level resistance low-level resistance Intermediate resistance high-level resistance

  10. Methods -Simple rules • Scoring Matrix -- example

  11. A Question • How to develop the Scoring Matrix ? Statistics derived rules

More Related