A method of assessing the propensity of a drug to develop an adverse reaction

Abstract

The invention provides a method of evaluating tendency of adverse reactions of a drug. The method comprises the following steps of: excluding interference information according to structural characteristics of the drug and quantitative characteristics of an adverse reaction tendency value and establishing an evaluated quantitative relation model between the structural characteristics and the adverse reaction tendency value; and applying the model to evaluate safety of the drug, wherein the accuracy of evaluating the adverse reaction tendency value of the drug can be effectively increased and the consumption of scientific research resources is lowered. The method is targeted, can remarkably reduce the blindness of a common method of evaluating the adverse reaction tendency value, provides evaluated drug safety risk warn for safe monitoring in a research process of the drug and after the drug is marketed, and provides pre-warning to adverse reactions of the drug, so as to improve the foreseeability and the medical safety level of drug monitoring, and provide reference to personal medication.

Description

technical field [0001] The invention belongs to the field of toxicology and information processing, in particular to a method for evaluating the adverse reaction tendency of medicines. Background technique [0002] At present, adverse drug reactions are still a major threat to the health of human medicine. Due to the complex mechanism of adverse drug reactions, many serious adverse drug reactions are difficult to be found in the pre-marketing clinical trial research process, resulting in serious losses of people's lives and property after the drug is marketed. Therefore, the monitoring and early warning of adverse drug reactions have been paid more and more attention by domestic and international medical regulatory agencies. The collection of adverse reactions is generally carried out by the pharmaceutical regulatory agency, usually through the form of active reporting of adverse drug reaction reports. Internationally, the U.S. Food and Drug Administration, the Canadian He...

AI Technical Summary

Problems solved by technology

[0004] Existing methods for assessing adverse drug reactions often do not take into account factors such as the uncertainty, sporadic, and complexity of the mechanism of adverse drug reactions, as well as the information distortion caused by the process of information collection, coding, and transmission. All the data are adopted together, and unnecessary information interference cannot be filtered out. For example, the invention patent (application publication number CN105787261 A) one-sidedly pursues the simplicity of calculation and ignores the complexity of the actual occurrence characteristics of adverse drug reactions. All the information is considered and incorporated into the model, the interference information is not filtered, and the main data characteristics of various adverse drug reactions are not further analyzed and extracted, only molecular fingerprints are used as the only description of drug characteristics to study its relationship with adverse drug reactions The relationship between probability, this method is very susceptible to the interference of abnormal information in the adverse reaction report data, resulting in wrong evaluation results, which affects the final accuracy of the evaluation, may lead to wrong evaluation results, and reduces the value of its practical application

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