| 摘要 |
<p>The present invention relates to the application of multidimensional matrix for drug design and the methodology for drug design, which for the first time introduces the concept of matrix optimization in mathematics to the design of drugs and the relevant molecules. The present invention uses multidimensional matrix to analyze the permutation and combination of factors that affect the chemical structures and properties of drugs, and classifies and compares the huge amounts of factors need to be considered in the drug discovery according to certain features, thus utilizes fewer number of variables to represent the huge number of variable factors to specifically obtain chemical structures for effective drugs and improves the physicochemical properties of the compounds. By structural comparison of the results with the experimental data of known drugs or compounds in all stages of drug discovery, the present invention further optimizes the molecular chemical structure of drugs and significantly increases the specificity and efficiency of drug design, and significantly increases the efficiency of synthesis.</p> |
