17 results about "Targeted Mutation" patented technology

The presently disclosed subject matter provides for methods and compositions for treating cancer (e.g., breast cancer). It relates to mutant PIK3CA-targeted TCRs that specifically target a mutant PIK3CA peptide (e.g., a human mutant PIK3CA peptide), and immunoresponsive cells comprising such TCRs. The presently disclosed mutant PIK3CA peptide-specific TCRs have enhanced immune-activating properties, including anti-tumor activity.

The present disclosure provides methods and systems for targeting cell with mutations.

This invention provides a testing method, device, and storage medium for stateful network protocols. First, it accurately identifies new state transition events based on the response feedback of the server under test. Then, it extracts corresponding client request message pairs from protocol interaction messages, and further segments them according to field location rules to obtain semantically independent field units. It then identifies differences between field units with the same name to generate candidate field groups, and filters out the candidate field set that truly triggers the state transition through testing. Finally, it performs structure-aware targeted mutations on the test seed based on the candidate field set to generate test cases. By accurately locating the core fields that trigger state transitions, it solves the technical problem of insufficient granularity in trigger condition analysis, making subsequent mutations in the testing process more targeted and effectively improving the accuracy and efficiency of state exploration in fuzzy testing of stateful protocols.

This invention provides a crystal form of compound 1, a salt thereof, and a crystal form of the salt thereof. This invention also relates to pharmaceutical compositions comprising the crystal form of compound 1 and the crystal form of a salt of compound 1. This invention further relates to methods of preparing and using these compositions. Compound 1

This invention relates to a system, kit, and application for the one-pot detection of miRNA and DNA mutations based on CRISPR-Cas12a and aptamers, belonging to the field of biomedical technology. The system for the one-pot detection of miRNA and DNA mutations based on CRISPR-Cas12a and aptamers includes: Cas12a protein, crRNA-R targeting miRNA, aptamer P1, aptamer P2, a linker, AO, and crRNA-D targeting DNA mutations. This invention combines CRISPR / Cas12a with a aptamer-based detection strategy to develop a label-free, direct detection system compatible with smartphones. This system can simultaneously detect EGFR mutations and miRNA-21 expression levels.

This invention relates to an intelligent multi-objective optimization method for solving infeasible solutions in complex chemical process industrial applications. This method uses a classification model to screen infeasible solutions and performs targeted mutations to increase the likelihood of transforming infeasible solutions into feasible ones. The method uses classification as a data-driven model to accurately identify specific infeasible solutions and perform targeted mutations. Differentiated mutation operators are used for different types of solutions to ensure that the mutation direction matches the characteristics of the solution. For specific infeasible solutions, uniform mutation is used, constrained by the variable range of Pareto solutions, to correct the solution to the feasible region. This avoids the waste of traditional methods by generating high-quality Pareto solutions early on and avoids local convergence. Validated in dual-tower side-stream extractive distillation and four-tower extractive distillation systems, this method not only significantly improves computational efficiency, reducing optimization time by 35.3% and 20.8% respectively, but also outperforms widely used genetic methods.

This application relates to a method and apparatus for analyzing the rigidity weaknesses of protein structures based on an atomic node and network constraint model. The method includes: obtaining the first crystal structure of the target protein molecule; performing a free energy minimization simulation on the first crystal structure to obtain an energy-minimized crystal structure; constructing an atomic node and network constraint model of the energy-minimized crystal structure; performing pyrolysis and folding molecular dynamics simulations on the atomic node and network constraint model until the atomic node and network constraint model reaches a state of equilibrium; analyzing the atomic node and network constraint model in equilibrium and obtaining the analysis results; and identifying rigidity weak regions in the target protein molecule based on the analysis results. The scheme provided in this application can calculate the rigidity weaknesses of the protein structure, find more suitable modification sites or regions, and thus enable targeted mutation of the protein to improve the stability of the protein molecule.

The present invention relates, in part, to chimeric proteins comprising mutant interferon-γ and their use as therapeutic agents.

This invention belongs to the field of biotechnology and relates to a... OsFBX148 Application of genes in regulating plant cold tolerance. This invention reveals a gene in rice called... OsFBX148 Novel functions of the gene and its encoded protein were discovered. Tissue-specific expression analysis showed that the gene was highly expressed in rice roots, and its expression level was significantly upregulated by low-temperature stress. Targeted mutation was performed using gene editing technologies (such as CRISPR / Cas9). OsFBX148 The gene can significantly enhance the cold resistance of rice plants, indicating that the gene plays an important role in regulating the cold resistance of rice. This invention provides an important gene resource for the genetic improvement of cold resistance in rice, and has important application value for breeding crop varieties with enhanced cold resistance and ensuring food security in high-altitude and cold regions.

This invention relates to an evolutionary testing system, method, and apparatus based on LLM (Liquidity Management Model), belonging to the field of computer technology. The evolutionary testing system includes: a multi-dimensional collaborative evaluation module; a targeted breakthrough evolution module configured to generate regular test cases, and when the update of the overall coverage result is deemed stagnant, to locate unreached paths based on the overall coverage result, extract logical constraints, obtain test cases whose execution trajectories are closest to the unreached paths, and infer root causes, thereby generating breakthrough test cases through targeted mutation; and a self-healing closed-loop module configured to execute test cases in the evolved population, capture error information generated during execution and iteratively repair it, storing repaired test cases with a comprehensive fitness exceeding a threshold in a test case library. This solves the problem that existing search methods struggle to penetrate deep code logic and achieve slow coverage improvement in automated testing.

This invention discloses a method for detecting nucleic acid mutations with spatial single-cell resolution and its application. The method includes the following steps: (1) pre-staining, fixing, and digesting the tissue sample or cells to be tested; (2) adding isBDA reaction solution for in situ PCR amplification, discarding the reaction solution after the reaction, fixing again, and performing confocal imaging. This invention's detection method is an innovative in situ cell imaging detection method that can achieve localization and visualization at the single-cell level. This invention's detection method selectively inhibits the amplification of wild-type templates, thereby efficiently enriching the target mutation sequence. It can identify cell types while detecting mutation-positive cells, exhibiting high sensitivity and low cost. Furthermore, through specific reaction conditions, it maintains high inhibition efficiency in complex in situ environments, demonstrating good spatial single-cell resolution.

This invention discloses a method for constructing and applying an anti-obesity animal model based on ISCA1 / 2 gene regulation, belonging to the field of biomedical technology. The method utilizes CRISPR-Cas9 gene editing technology to design specific single-stranded guide RNAs targeting the ISCA1 and ISCA2 genes in mice. Cas9 mRNA and sgRNA are introduced into fertilized eggs of C57BL / 6J strain mice via microinjection. The injected embryos are then transferred into pseudopregnant mice to obtain F0 generation chimeric mice. By mating F0 generation mice with wild-type C57BL / 6J mice, F1 generation heterozygous mice carrying the target mutation in the germline are selected, thus obtaining the anti-obesity animal model. This model is not only a phenotypic model but also a mechanistic research model, suitable for drug target validation, energy metabolism pathway exploration, and personalized treatment strategy evaluation.

The present application relates to a gRNA targeting CYP4V2 gene, and a donor nucleic acid molecule comprising a CYP4V2 gene fragment. The present application also relates to use of the gRNA and the donor nucleic acid molecule in the preparation of a medicament for treating Bietti crystalline dystrophy.

A T cell receptor targeting a KRAS G12V mutant polypeptide and a use thereof, wherein the T cell receptor molecule specifically targets a KRAS G12V mutation; a CDR3 sequence of an α chain variable domain thereof contains CAVRDIEGAGNNRKLIW (SEQ ID NO: 1) or a mutant of SEQ ID NO: 1, and / or a CDR3 sequence of a β chain variable domain contains CASSEGQYSYEQYF (SEQ ID NO: 2) or a mutant of SEQ ID NO: 2. Furthermore, a nucleic acid molecule encodes the T cell receptor molecule, a dual-targeting protein molecule and a multivalent complex includes the T cell receptor molecule, a nucleic acid construct, a cell expressing the T cell receptor molecule, etc.

The present application relates to the technical field of the cross of bioinformatics, medical genetics and artificial intelligence, and discloses a gene mutation pathogenicity automatic rating method and system based on multi-agent game and thought chain reasoning, which comprises the following steps: searching data related to a target mutation site; based on the related data; performing multi-round iterative gene mutation pathogenicity rating by a proposer agent, a refuter agent and a decision maker agent; monitoring the rating conclusion output by the decision maker agent and the confidence score in real time, and when a preset dynamic truncation condition is met, terminating the multi-agent game step and outputting the final gene mutation pathogenicity rating conclusion. The present application can realize accurate and transparent rating of gene mutation pathogenicity by eliminating model hallucinations through adversarial games and analyzing unstructured documents by using thought chains.