Prediction of drug interactions.

The combination drug is the conventional method of clinical drug treatment，The purpose is to improve the efficacy, reduce the toxicity, but the combination of drugs without purpose can not improve the efficacy, but increase the incidence of adverse drug reactions.Moreover, the incidence of adverse drug reactions may increase and increase with the types of drugs used.In conjunction with drugs, efforts should be made to avoid adverse drug interactions that reduce efficacy or increase toxicity.In order to effectively predict adverse drug interactions, drug researchers are required to carry out screening and early detection during the development of new drugs and the possible drug interactions.Reduce the risk of clinical drugs.On the one hand, clinical medical workers should have a full grasp of the nature of drugs, according to the situation of the disease to carry out a reasonable treatment program.Effective methods of avoiding adverse drug interactions and predicting drug interactions include in vitro camellia, which predicts individual predictions based on in vitro metabolic data.
First, in vitro camellia.
It has become an effective way to determine the future of drug development.Prior to the clinical study, mammal tests were used to screen for drug interactions, but because animals and people do not express or regulate their drug metabolism, There are differences in such areas as results and clinical practice and sometimes there is a big gap.In vitro, the most mature tools for the study of drug metabolism are related to cytochrome P450, a superior family of meta-cap.These enzymes are responsible for the metabolism of most drugs in the body, so the liver tissue slides of liver cells of liver cells of liver cells of liver cells are recombinant and CYP has been used to assess whether candidate drugs can affect the metabolism of another drug.

The second, based on in vitro metabolic data.
It is one of the effective methods for quantitatively predicting drug interactions in the body by using in vitro metabolic data to construct mathematical models.
The method is mainly used for conservative predictions of severe drug interactions, which can eliminate false negative results and maximize drug interactions during drug development.
The third, according to the patient's individual drug interaction prediction.
Be familiar with the basic characteristics of drugs, including drugs, pharmacokinetics and pharmacodynamics, which are very important to predict the clinical drug interactions, and the most obvious types of clinical drug interactions. It's almost a drug called Wu Xiaoqiang, whose medicinal effects are shaking.
For example, the cytotoxic drugs digoxin, warfarin blood sugar.
The safe range of these drugs, the effect of the interaction of small drugs, the concentration of blood drugs outside the treatment window during a period of time, leading to a decline in efficacy or toxicity, Clinical use of drugs should be familiar with the main types of drugs that affect CPR, including the main gifts, inhibitors, luring agents, drug interactions that can occur in a short period of time. Others require treatment for several days or weeks to several weeks.For example, chloramphenicol has a long half-life and it takes several weeks for the effect，If the main management of C9 rabbit C9 metabolism drug treatment may still have no inhibition, resulting in poor clinical results.
A combination of small molecular compounds used in drug research.
Monoclonal antibody, polyclonal antibody, recombinant protein.
Enzyme-linked immune kit