2 results about "Antibody Interactions" patented technology

An arylboron compound, its preparation method, applications, and pharmaceutical compositions are disclosed for tumor imaging. The compound of formula (I) exhibits high fluorescence quantum efficiency through intramolecular charge transfer. The compound of formula (I) synthesized in this invention can be linked to different antibodies via Q3 at certain concentrations, allowing for precise targeting of corresponding tumors based on the antibody. This type of boron drug formulation can be used in boron neutron capture therapy to kill tumor cells. It exhibits better killing effects; the compound of formula (I) targets tumor cells through antigen-antibody interaction. After the boron-10-containing drug accumulates at the tumor site, neutron radiation triggers a nuclear reaction releasing alpha particles and... 7 Lithium particles kill cells; the range of these two particles is approximately 10 μm. High-energy-density heavy ions disrupt the DNA double helix structure in tumor cells, causing irreparable cell death. Simultaneously, the 10 μm distance avoids damage to normal cells and tissues.

This disclosure presents an embodiment of a method for optimizing the antigen-antibody interaction potential energy matrix based on maximizing the potential energy difference. One specific implementation of this method includes: determining the average energy value of the natural complex of each training sample in a training sample set based on an initial potential energy matrix; structurally adjusting the crystal structure of the antigen-antibody complex in each training sample in the training sample set to generate a set of non-binding conformations; calculating the energy of each non-binding conformation in the set of non-binding conformations to generate a background average energy value; determining the energy difference between the average energy value of the natural complex and the background average energy value as the potential energy difference; statistically analyzing the residue pair contact frequencies of each non-binding conformation in the set of non-binding conformations to generate a residue frequency matrix; and optimizing the initial potential energy matrix to obtain an optimized potential energy matrix. This implementation can improve the accuracy of predicting antigen-antibody docking posture.