Network pharmacology, and/or Mendelian randomization in the discovery of disease mechanisms in drug treatment.

Introduction

Based on large-scale data and computer technology, network pharmacology explores the interaction network between drug molecules and molecules in vivo, such as targets, pathways, genes, and proteins, as well as the effects of these interactions on drug efficacy, toxicity, metabolism, etc. It provides more accurate and efficient solutions in drug research and development, drug treatment, drug reuse, etc. In the context of precision medicine, the development of targeted drugs is a hot topic. However, finding effective molecular targets is a difficult problem. Mendelian randomization can be used to assess causal relationships between molecules and diseases. Therefore, drug-Mendelian randomization came into existence, which is based on the downstream product (biomarker) of the target protein, with SNPs (pQTLs or eQTLs) near the gene encoding the target protein that has a significant effect on the biomarker as the instrumental variable, and the biomarker concentration, and the disease. Mendelian randomization is carried out to verify the effect of the protein target on the disease studied.

Keywords

Network pharmacology, Mendelian randomization , mechanisms, drug discovery, new drug.

Sub-topics

1    Network pharmacological analysis and/or validation of drugs
2    Molecular dynamics simulation and/or validation of drugs
3    A study of the drug mechanism based on Mendelian randomization