5 results about "Structural biology" patented technology

A protein structure-density map fitting method based on feature point matching belongs to the field of bioinformatics and structural biology, constructs a protein complex structure dataset, converts the structure into a unified resolution point set through voxelization and uniform sampling, and adopts the farthest point sampling to construct a multi-resolution point set to depict scale geometry; a deep learning network is adopted to learn the rotation equivariant and invariant features of the structure and the density map under multi-resolution, and a geometric self-attention mechanism based on nearest neighbor layer-by-layer expansion is introduced at the neck to enhance the representation; a coarse-to-fine feature point matching strategy is adopted in the training stage, combined with a superpoint matching loss, a point-level matching loss and a contrast rotation loss optimization; in the inference stage, multi-scale and hybrid sampling are adopted, and candidate poses are generated through translation mask, the candidate poses are screened and optimized according to the structure-density map fitting score, and the final fitting result is output. The present application can realize high-precision and high-efficiency structure-density map fitting under complex conditions.

This invention discloses a monkeypox virus protein B4R nuclease domain protein, its crystal, and its preparation and application, belonging to the field of protein crystal culture technology. This invention efficiently expresses and purifies B4R-CTD in *E. coli*, and confirms its endonuclease activity through biochemical experiments. Protein crystals are cultured using a gas-phase diffusion method, and the crystal structure of the B4R-CTD protein is resolved. It was found that the wild-type B4R-CTD exists in solution as monomers and tetramers, and the polymerization morphology affects enzyme activity. The B4R-CTD protein prepared by this invention has high purity, stable properties, and excellent crystal quality, and can be widely used in the structural biology research of monkeypox virus, possessing significant scientific research and application value.

The application provides a novel trimerization element library and a construction method and application thereof, relates to the fields of recombinant protein engineering, protein structure biology and biomedical application. The application designs and screens a universal amino acid sequence element through bioinformatics analysis of a trimer protein structure, and constructs an element library containing 10 unique trimerization sequences. The element library can be fused with a target protein to realize efficient trimerization of the recombinant protein, and does not affect the biological activity of the target protein. The application solves four core technical bottlenecks in the construction of a recombinant protein trimer, provides a high-efficiency and reliable core module support for the research and development of a trimer protein drug, and has important theoretical innovation significance and industrial application prospect.

The application relates to the fields of biological medicine and nanomedicine technology, and discloses a preparation method and application of a tumor-targeting bionic nanodrug, which comprises the following steps: constructing a three-dimensional nanostructure core through DNA origami, performing site-specific modification on the surface of the three-dimensional nanostructure core, precisely loading a chemotherapeutic drug, an immunoadjuvant or an enzyme catalyst in the three-dimensional nanostructure core, and integrating a dynamic element responding to a tumor microenvironment to realize intelligent drug release. Through the fusion of the DNA self-assembly principle of structural biology, the algorithm modeling of computer science and the precise coupling technology of synthetic chemistry, a bionic nanorobot with programmable structure, accurate drug loading site, high targeting efficiency and intelligent response is constructed, the controllability of the structure of the nanodrug, the targeting efficiency and the on-demand release performance of the nanodrug are significantly improved, the technical bottlenecks of traditional nanocarriers in the aspects of structure control, drug loading precision and targeting efficiency are solved, and the bionic nanorobot is suitable for precise treatment of various solid tumors.

The application discloses a cryo-EM density map self-supervised learning method, system, storage medium and equipment, and belongs to the technical field of computational structural biology and deep learning. The method comprises the following steps: acquiring a cryo-EM density map, constructing a CryoLVM model based on a self-supervised learning framework, pre-training the CryoLVM model according to the cryo-EM density map, and learning the structural representation of the density map; using the pre-trained CryoLVM model to perform a downstream cryo-EM task, outputting a predicted density map, comparing the predicted density map with a target density map, and fine-tuning the CryoLVM model. The cryo-EM density map self-supervised learning method improves the training efficiency and universality of the cryo-EM density map processing model.