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141 results about "Binding pocket" patented technology

Binding pocket is a part of a receptor, adaptor/scaffold protein, or docking site for a medical drug. Binding pocket binds ligand or a knob-site of some binding partner (a good example is knob-hole interaction is between fibrin molecules in polymeric fibrin).

Solid spring ball and process for making same

The invention discloses a solid elastic ball, which comprises a built-in foamed polyurethane ball center and a spherical latex bag wrapped on the outer wall of the polyurethane ball center. The outer wall of the latex bag is sprayed with polyurethane varnish and polyurethane wear-resistant oil. The invention also discloses a method for manufacturing the solid elastic ball, which includes the following steps: a. inject polyurethane material into the spherical hollow latex bag; b. put the latex bag filled with solid polyurethane material into the mould, and foam and shape it; c. 1. Trim and level the feed port of the latex bag, and spray polyurethane varnish and wear-resistant oil on the spherical surface of the latex bag to finish the finished product. Compared with the prior art, the present invention has the advantages of: the combination degree of the center of the ball and the latex bag of the wrapping layer outside the center of the ball is greatly improved, the latex bag is evenly stressed, the sphere is not easy to deform, the outer wall of the latex bag has good integrity, and there is no foaming. Phenomena such as delamination and rough handle do not exist at all, which also improves the brightness and wear resistance of the ball, and facilitates the subsequent surface spraying process.
Owner:汪永国

Small molecule compositions for binding to hsp90

Structural differences in binding pockets of members of the HSP90 family can be exploited to achieve differential degradation of kinases and other signaling proteins through the use of designed small molecules which interact with the N-terminal binding pocket with an affinity which is greater than ADP and different from the ansamycin antibiotics for at least one species of the HSP90 family. Moreover, these small molecules can be designed to be soluble in aqueous media, thus providing a further advantage over the use of ansamycin antibiotics. Pharmaceutical compositions can be formulated containing a pharmaceutically acceptable carrier and a molecule that includes a binding moiety which binds to the N-terminal pocket of at least one member of the HSP90 family of proteins. Such binding moieties were found to have antiproliferative activity against tumor cells which are dependent on proteins requiring chaperones of the HSP90 family for their function. Different chemical species have different activity, however, allowing the selection of, for example Her2 degradation without degradation of Raf kinase. Thus, the binding moieties possess an inherent targeting capacity. In addition, the small molecules can be linked to targeting moieties to provide targeting of the activity to specific classes of cells. Thus, the invention further provides a method for treatment of diseases, including cancers, by administration of these compositions. Dimeric forms of the binding moieties may also be employed.
Owner:SLOAN KETTERING INST FOR CANCER RES

Method for predicting binding free energy of protein and ligand based on progressive neural network

The invention discloses a method for predicting the binding free energy of protein and ligand based on a progressive neural network, and belongs to the technical field of computer-aided drug design. The method comprises the steps: obtaining a pdb file from a PDBbind database, establishing local database, acquiring an amino acid molecule within 4.5 angstroms in the protein binding pocket by takingthe ligand molecule as a center, performing extended connectivity fingerprint calculation, carrying out SPLIF fingerprint calculation, searching for the number of salt bridges and hydrogen bonds between protein and ligand molecules, converting the structural information of the protein and the ligand into a one-dimensional tensor, and establishing a training set, a verification set and a test set;training the progressive neural network by using the training set; optimizing and searching hyper-parameters for prediction; through comparison with a molecular docking result, obtaining a higher Pearson correlation coefficient. According to the invention, the technical problem of how to convert a three-dimensional structure of protein and ligand molecules into tensors which are easy to calculateby a computer and input the tensors into the progressive neural network for training and optimization is solved, and the calculation rate and the prediction accuracy are greatly improved.
Owner:JIANGSU UNIV OF TECH
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