A molding and using method for a bulk drug gastrointestinal absorption prediction BSPK model
A technology of gastrointestinal absorption and modeling method, which is applied in the fields of new drug design and pharmacokinetic research and development, and can solve problems such as application limitation, model ignoring drug absorption, and ignoring the influence of diffusion layer thickness.
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Embodiment 1
[0061] This embodiment is used to illustrate a basic implementation method of the present invention, that is, after inputting the given values of each parameter in the differential solver to obtain the predicted absorption percentage, compare it with the experimental absorption percentage to obtain the speed predicted by the model.
[0062] One, the object of the present invention is achieved through the following steps.
[0063] 1. Divide the gastrointestinal tract into several reasonable absorption sites based on the physiological structure.
[0064] In this example, the gastrointestinal tract is divided into three parts: stomach, small intestine and large intestine. Liquid and solid drugs pass through the three chambers, each with a different volume, flow rate, and residence time. It is assumed that the drugs in each chamber reach a steady state.
[0065] 2. Establish dissolution and absorption prediction functions for different absorption sites, each function has a giv...
Embodiment 2
[0102] The concrete application of the present invention not only comprises obtaining predicted value by known parameter value in embodiment 1, also can be applied to key parameter analysis, parameter suitable value prediction, absorption percentage prediction under special circumstances (as the influence of particle diameter and particle shape and the impact of settlement) etc., this embodiment is used to illustrate the analysis of key parameters.
[0103] Among the input parameters, some parameters have a significant impact on absorption and are called key parameters; some have no significant impact on absorption and are called non-key parameters. Through software prediction, key parameters affecting absorption can be analyzed, which is conducive to optimizing key parameters in order to improve drug absorption.
[0104] Specifically, the determination method of key parameters affecting absorption is as follows: other parameters are fixed, and two parameters are optional (sho...
Embodiment 3
[0108] The present invention can not only be used for absorption prediction, but also can infer appropriate parameters according to the ideal absorption value, which is beneficial to achieve ideal absorption in later in vivo tests by changing the salt form or dosage form of the drug in the early drug screening process.
[0109] Specifically, the ideal absorption percentage value is set, other parameters are fixed, the only variable is selected, different values are input, and the predicted value is obtained through software calculation. Compared with the ideal absorption value, if the predicted value is close to the ideal absorption value, that is, the predicted value is within 1 / 2 to 2 times of the actual measured value, then the corresponding value is the appropriate value of the parameter.
[0110] The particle size, solubility, dose, permeability, log P, pKa of the active compound all have an effect on the percent absorption. The model can infer appropriate parameters ba...
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