473results about "Bioinformatics" patented technology

A federated distributed computational system enables secure biological data analysis and genomic medicine with enhanced oncological therapy capabilities. The system implements patient-specific tumor-on-a-chip analysis through microfluidic control systems and cellular heterogeneity preservation, while integrating fluorescence-enhanced diagnostics using CRISPR-LNP targeting and robotic surgical navigation. The architecture coordinates spatiotemporal analysis of gene therapy delivery through molecular imaging and immune response tracking, and implements bridge RNA integration with multi-target synchronization. Treatment selection is optimized through multi-criteria scoring and patient-specific simulation modeling. Each federated node contains a local processing unit for biological data analysis, privacy preservation protocols, and a hierarchical knowledge graph structure. The system implements cross-species genetic analysis, environmental response modeling, and multi-scale tensor-based data integration, enabling research institutions to collaborate on complex, large-scale biological analyses while maintaining strict data privacy controls.

A federated distributed computational system enables secure collaboration across multiple institutions for biological data analysis. The system consists of interconnected computational nodes managed by a centralized or decentralized federation manager, depending on the deployment model. Each node contains specialized components that work together to process biological data while preserving privacy. These components include a local computational engine that handles data processing, a privacy preservation module that protects sensitive information, a knowledge integration component that manages biological data relationships by connecting various data sources, and a communication interface that enables secure information exchange between nodes. The federation manager coordinates all computational activities across the network while ensuring data privacy is maintained throughout the process. This architecture allows research institutions to collaborate on complex biological analysis tasks without compromising their sensitive data, enabling breakthrough discoveries through shared computational resources and expertise while maintaining the security, compliance, and confidentiality required in biological research.

A database structure obtained by means of information retrieval, and a reasoning system, which structure and system specifically relate to a gut microbe knowledge graph system, comprising: a gut microbe knowledge graph consisting of a gut microbe knowledge base, a gut microbe and small-molecule drug therapy association knowledge base, and a clinical medicine database; and a multimodal uncertainty reasoning system, using the gut microbe knowledge graph. The gut microbe knowledge graph system predicts potential diseases, drugs, genes, etc., which are associated with gut microbes.

The invention belongs to the technical field of medical data processing and artificial intelligence, and particularly relates to a cardiovascular disease risk prediction system based on multi-modal fusion, which comprises a multi-modal data acquisition and preprocessing module, a cross-modal association graph construction module, a dynamic fusion and prediction module based on a graph neural network and an interpretability analysis module. By constructing a heterogeneous graph fusing prior knowledge and data driving and utilizing a graph attention network to perform multi-level dynamic feature fusion, deep integration and interaction of multi-modal data such as genomes, iconography, clinical and intestinal flora metabolism are realized, so that the accuracy and interpretability of cardiovascular disease risk prediction are improved.

The invention discloses a strain copyright protection system based on a DNA watermark technology. The system comprises a DNA watermark embedding module, a block chain storage and verification module, a strain authentication and tracking module and a security and privacy protection module. The invention further discloses a strain copyright protection method based on the DNA watermarking technology. The method comprises the steps of strain copyright information generation and coding, DNA watermark site selection and editing, strain screening and verification, copyright information uplink and strain use and tracking. According to the method, the copyright information of the strain is coded into the DNA watermark, the DNA watermark is embedded into the genome non-functional region of the strain, and the copyright information is stored and verified in combination with a block chain technology, so that intellectual property protection with high concealment and high safety of the biological strain is realized; illegal copying and tampering of strains are prevented, reliable copyright authentication and tracking functions are provided, and the method has wide application prospects and remarkable market value.

The invention discloses a key marker gene-based intelligent cell type annotation method, which comprises the following steps of: constructing a static knowledge base by using known marker genes in a reference database, and endowing the marker genes with cell specific weights by using a TF-IDF method, so that the annotation accuracy and interpretability are improved. Meanwhile, under the condition that static matching is insufficient, the literature is understood through a large language model, mark information is extracted, dynamic completion of the knowledge base is achieved, the defect that updating of a traditional knowledge base is lagged is overcome, and good adaptability and expansibility are achieved. Besides, static and dynamic matching scores are fused in the annotation process, so that more robust cell type identification is realized, annotation requirements of multi-tissue, multi-species and novel cell states are adapted, high-precision and extensible cell type annotation can be realized in a scene with insufficient reference knowledge or a fuzzy sample, and the annotation efficiency is improved. And the method has good universality and practicability.

System and methods for alerting a healthcare provider to prescribed treatments having reduced or no effectiveness due to genetic composition is provided. A database containing treatments known to have reduced or no efficacy in persons having particular genetic markers is queried to determine whether any treatments prescribed by, or likely to be prescribed by, a healthcare provider to the patient are known to have reduced or no efficacy in persons having the same certain genetic markers as the patient. An alert indicating such information is displayed at a healthcare provider system.

The invention discloses an information storage method based on DNA (deoxyribonucleic acid) coding, which comprises the following steps: converting digital information to be stored into a quaternary code, converting the quaternary code into a DNA sequence consisting of adenine A, cytosine C, guanine G and thymine T according to a preset mapping rule, and expressing an additional information dimension by using a chemical modification state of a nucleotide pair; inserting error detection and correction codes in the DNA sequence every a predetermined number of basic group positions, segmenting the encoded DNA sequence into a plurality of fragments with the length of 100-150bp, and adding a specific recognition sequence and an index marker at two ends of each fragment; a reversible thermosensitive response DNA nanostructure is used as a carrier, DNA fragments are selectively combined to the carrier, and hierarchical storage and rapid retrieval of information are realized through a temperature gradient control system; the DNA storage information density can be remarkably improved, the service life of DNA storage can be remarkably prolonged, and a novel technical path is provided for large-scale, long-term and safe molecular information storage.

The present invention particularly relates to the technical field of data storage, and provides a data encryption method based on DNA encoding, a data decryption method based on DNA encoding, an intelligent terminal, and a medium. A solution comprises: encrypting acquired data to be encoded to obtain encrypted data to be encoded; on the basis of a pre-constructed DNA encoding table, performing DNA encoding on each byte of said encrypted data to obtain an initial base sequence, the DNA encoding table being constructed from four-base units and five-base units; and using a preset DNA sequence structure optimization rule to perform chaotic mapping adjustment and rearrangement on the initial base sequence to obtain an encrypted DNA sequence. According to the solution, the GC content in the encrypted DNA sequence can be kept in a balanced state, and the information density of the encrypted data is increased, such that the encryption effect is effectively improved, thereby reducing a storage space occupied by data to be encoded, improving the security and attack resistance of the data to be encoded, and thus guaranteeing the stability of the encrypted DNA sequence.

The invention discloses an automatic construction system for a biological information analysis process, and the system comprises an intention understanding and semantic analysis module which is used for analyzing a natural language text inputted by a user into a structured task description meeting the requirements of a biological information analysis task; the knowledge graph and retrieval module is responsible for constructing a knowledge graph special for the bioinformatics field so as to provide knowledge retrieval and recommendation services; the process generation core module is used for receiving the structured task description, actively associating the knowledge graph with the retrieval module so as to supplement the field large model, and generating a biological information analysis target process language code; and the execution and monitoring module is used for guaranteeing workflow execution, full-life-cycle state monitoring, real-time fault diagnosis and intelligent self-healing decision making of target process language codes. According to the system, the executable analysis process can be directly generated according to the natural language requirement of the user, the tool compatibility and parameter validity are verified through the borrowed knowledge graph before execution, the dependency on the programming ability of the user is greatly reduced, and the process operation reliability is improved.

The invention provides a method for detecting a virus inactivation effect by an ELISA (Enzyme-Linked Immunosorbent Assay) method, which comprises the following steps: acquiring a to-be-detected inactivated virus sample, extracting an antigen component from the sample, and detecting an antigen structure change characteristic value through a high-throughput mass spectrometry analysis technology to obtain antigen degradation degree data; obtaining a sample subjected to preliminary inactivation, and detecting the antigen content change trend through an enzyme-linked immunosorbent assay to obtain content change curve data; detecting the residual quantity of viral nucleic acid by a real-time fluorescent quantitative PCR (Polymerase Chain Reaction) technology aiming at the immunogenicity retained sample to obtain nucleic acid degradation degree data; acquiring nucleic acid degradation degree data, classifying the relationship between nucleic acid residues and infectivity by adopting a support vector machine algorithm, and judging that the inactivation effect is completely completed if the classification result shows that the infectivity is lost; according to the antigen content change trend, the immunogenicity index and the nucleic acid degradation degree data, a weighted fusion algorithm is adopted to integrate multi-dimensional detection results, and a comprehensive inactivation effect score is obtained.

A computer system is disclosed that evaluates efficacy of a cancer treatment in a subject undergoing or having completed treatment. The system executes a method comprising obtaining first genomic epigenetic sequencing data of the cell-free DNA in a blood sample of the subject. The method further obtains second genomic sequencing data of the cell-free DNA. The first and second data is mapped to locations in a reference genome. Absence or presence of at least a first genomic alteration, in a plurality of genomic alterations, is determined based on at least the second data and the mapped locations of the second data. A structured data report is securely communicated, through a network connection, providing an assessment of the cancer treatment efficacy for the subject responsive to at least the epigenetic patterns of the cell-free DNA and the absence or presence of at least the first genomic alteration.

Techniques for performing genomic security-related control of a digital ecosystem are disclosed. In embodiments, the digital ecosystem includes an ecosystem VDAX that maintains a progenitor genomic data set corresponding to the digital ecosystem, generates a plurality of respective progeny genomic data sets based on the progenitor genomic data set, and allocates the progeny genomic data set to a respective progeny VDAX of a plurality of progeny VDAXs, wherein the progeny VDAX establishes unique non-recurring engagements with other progeny VDAXs in the digital ecosystem based on the respective progeny genomic data set allocated to the progeny VDAX without any further interaction from the ecosystem VDAX. The ecosystem VDAX also controls a genomic topology of the ecosystem by selectively updating one or more of the progeny genomic data sets to affect an ability of specific progeny VDAXs to engage with other VDAXs in the ecosystem.

The application is suitable for the technical field of germplasm resources, and provides a germplasm resource data management system.The system comprises: an approval and registration sample management system, a resource survey collection management system, a germplasm resource library position management system, a germplasm resource phenotype database and a germplasm resource genotype database, the approval and registration sample management system manages data of crop standard samples; the germplasm resource phenotype database stores phenotype data of crop germplasm resources; the germplasm resource genotype database stores genotype data of crop germplasm resources; the germplasm resource library position management system manages data of crop germplasm resources; the phenotype data of crop germplasm resources, the genotype data of crop germplasm resources and the data of crop germplasm resources are corresponded through library number coding.The application can scientifically manage crop germplasm resource data, and can also realize internet sharing of crop germplasm resource data.

The invention relates to the field of data analysis, in particular to a database information acquisition and analysis method for pharmacological analysis of heat stroke, which comprises the following steps: determining a data state according to data diversity and data stability of rat input data, and determining a data processing mode according to the data state; in analog data supplementation, determining a supplementation mode according to a comparison result of the effective standard index proportion and a preset effective standard index proportion; in the keyword analysis, a use state is determined according to the matching frequency and the spacing distance of the effective keywords, and a corresponding search mode is determined according to the use state; in the effective keyword search process, determining a page distribution state according to the page similarity and the information relevancy of the target website, and determining an acquisition adjustment mode as track simulation adjustment or search simulation adjustment according to the page distribution state; the searching and matching efficiency of database information acquisition and analysis in pharmacological analysis related to heat stroke is improved.

The present invention generally relates to systems (100) and methods for generating, managing, and displaying non-fungible digital representations (102) of living, biological, and / or eukaryotic organisms (104). More specifically, the systems (100) and methods for generating, managing, and displaying non-fungible digital representations (102) include genetic material (106), such as single nucleotide polymorphisms. The systems (100) and methods can record genetic data from the genetic material (106) on a blockchain (114) and can generate and display the non-fungible digital representation (102) of the living, biological, and / or eukaryotic organisms (104) that are based on the genetic data on the blockchain (114).

This disclosure introduces a novel method and system for using a large language model (LLM) to create a convenient interface for a complex database. The system includes a custom prompt generator that creates custom prompts from natural language queries. The custom prompts are used to control how the LLM interacts with a database look-up tool. The database look-up tool provides queries to the database in a format understandable by the database and receives responses from the database. This system is useful for obtaining information that is not in a natural language, and thus, is poorly suited for being processed as an embedding by the LLM. Information obtained from the database is included in an answer produced by the LLM.

Provided herein is a recombinant polyclonal protein library (RPP) generated, at least in part, by an in silica method. Also provided are methods of using the RPP.

A data storage device includes an oligonucleotide nanostructure backbone with a plurality of attachment sites at predetermined positions, a plurality of labels configured to attach to the attachment sites, and at least a first orientation indicator and a second orientation indicator. Each label includes at least one dye, and an attachment oligonucleotide portion configured to attach to one of the attachment sites. The attachment oligonucleotide portion of each label includes a unique oligonucleotide sequence configured to bind to a complementary sequence of one of the attachment sites.

The invention is directed to methods for massively parallel template-free enzymatic synthesis of a plurality of different polynucleotides of predetermined sequences. In one aspect, methods of the invention employ large scale arrays of reaction sites each associated with at least one working electrode for controlling deprotection and deblocking steps at predetermined user selected sites. In another aspect, the invention provides template-free enzymatic synthesis with proofreading, wherein completed polynucleotides at predetermined reaction sites are sequenced using a sequencing by synthesis technique, particularly employing electrochemically labile blocking groups.

The invention is directed to methods for massively parallel template-free enzymatic synthesis of a plurality of different polynucleotides of predetermined sequences. In one aspect, methods of the invention employ large scale arrays of reaction sites each associated with at least one working electrode for controlling deprotection and deblocking steps at predetermined user selected sites. In another aspect, the invention provides template-free enzymatic synthesis with proofreading, wherein completed polynucleotides at predetermined reaction sites are sequenced using a sequencing by synthesis technique, particularly employing electrochemically labile blocking groups.

The invention discloses a method and a device for reversely screening special protease based on a target active peptide, which are applied to the field of bioactive peptides, and are characterized in that a target peptide database and a negative peptide database are established based on task requirements, so that expected active peptides and peptides with adverse effects can be clearly distinguished in the screening process, thereby ensuring that the target is clear and the screening efficiency is high. And virtual enzyme digestion is carried out on the target protein data based on a preset enzyme digestion rule to obtain a first theoretical enzyme digestion peptide fragment and corresponding target peptide information, so that the applicability of each protease can be accurately evaluated directly according to the quantity and quality of the target peptide generated by each protease in the screening process, and the screening efficiency is improved. Therefore, the accuracy of the screening process is improved; the candidate protease set is further screened in combination with the negative peptide information, and the enzyme generating the negative peptide is excluded, so that the screened protease can preferentially generate the target peptide, adverse byproducts are avoided, and the screening precision of the protease is improved.

A computer system includes a database of pathology information for a plurality of patients including at least one current patient; a memory; and a processor configured to identify the at least one second practitioner based on a similarity between the patient-specific pathology of the at least one current patient and the similar patient of the at least one second practitioner; display an indication to the first practitioner that the at least one second practitioner has been identified while keeping the identity of the at least one second practitioner and the similar patient confidential; present the first practitioner with a control to communicate with the at least one second practitioner; receive, from the at least one second practitioner, discrete responses to questions regarding the similar patient; and determine, based on the discrete responses, a recommendation of a treatment for the at least one current patient.

The invention provides a high-throughput experimental data multi-dimensional index construction method based on material gene engineering, and relates to the technical field of material index construction, and the method comprises the following steps: S1, obtaining composition characteristics of a predetermined catalytic material and corresponding experimental reaction condition characteristics; s2, acquiring infrared thermal imaging data of the predetermined catalytic material in the high-flux experiment process, and extracting thermal response characteristics of the predetermined catalytic material by adopting a preset ignition criterion based on the infrared thermal imaging data; s3, integrating the composition characteristics, the experimental reaction condition characteristics and the thermal response characteristics, and generating a catalyst gene fingerprint for uniformly representing the multi-dimensional comprehensive characteristics of the predetermined catalytic material; and S4, on the basis of the catalyst gene fingerprints, a multi-dimensional index of the high-throughput experimental data is constructed, and the multi-dimensional index comprises a multi-layer index structure and is used for establishing a mapping relation between the catalyst gene fingerprints and the corresponding high-throughput experimental data. According to the invention, rapid retrieval, accurate positioning and intelligent analysis of mass high-throughput experimental data can be realized.

The invention discloses a report checking method capable of automatically feeding back a checking result based on a snapmake language. The method specifically comprises the following steps: step 1, file preparation: preparing a question settlement report and an analysis confirmation sheet excel table; 2, performing report basic information checking, quality control data checking, intra-group sample difference checking, report sample number and display sequence checking, report integrity checking and / or report picture checking in parallel and / or in series on the basis of the question settlement report obtained in the step 1 and an analysis confirmation single excel table; and step 3, generating a webpage version checking report according to one or more pieces of checking log information obtained in the step 2, and automatically sending feedback through a mail. The invention further discloses a system and application for implementing the report checking method, and the system and the application have wide application value.

The invention discloses a compression and decompression method based on generic genome expression, and relates to the technical field of compression and decompression of DNA next-generation sequencing data, in particular to the compression and decompression method based on generic genome expression. The method aims at solving the problems that in the prior art, the capacity of processing population genetic diversity is insufficient, original sequencing quality information cannot be effectively restored during decompression, and memory occupation is too high during large-scale data processing. Obtaining a to-be-compressed sequencing sequence data file, a reference genome sequence and a thousand-person genome variation sample; obtaining a haplotype list, a variation list and a haplotype offset list corresponding to each window block; storing the window number, the haplotype number, the haplotype offset, the head and tail unmatched sequences, the current sequence name and the quality score character string into a single compression block; carrying out binding storage; completing the compression processing of the mass fraction; and obtaining each to-be-compressed sequencing sequence based on the result of the compressed part.

The invention discloses a chickpea sprout peptide. The amino acid sequence of the chickpea sprout peptide is as follows: Glu-Glu-Cys-Pro-Cys-Ala-Asn-Cys-Cys, wherein the amino acid sequence of the chickpea sprout peptide is as follows: Glu-Glu-Cys-Pro-Cys-Ala-Asn-Cys-Cys; the preparation method of the chickpea sprouting peptide comprises the following steps: step 1, sprouting chickpeas until the sprouting length is 0.5-1.5 cm, wherein the sprouting time is 12-72 hours; step 2, mixing and pulping germinated chickpeas and water according to a weight ratio of 1: 1-1: 1.2, and adjusting the pH value of the pulp to 6.5-8.0; step 3, adding neutral protease and compound flavor protease, and performing enzymolysis at the enzymolysis temperature of 50-55 DEG C for 2-3 hours; step 4, treating the enzymatic hydrolysate through an ultrafiltration membrane with the molecular weight cut-off of 5000Da under the conditions that the working pressure is 0.15-0.25 MPa and the working temperature is 20-45 DEG C, and collecting filtrate; and step 5, carrying out corrosion prevention and drying on the filtrate to obtain the chickpea sprout peptide. The chickpea sprout peptide has the effects of resisting obesity, resisting oxidation and adjusting immunity, in addition, the preparation method can achieve efficient and high-quality preparation of the chickpea sprout peptide, the chickpea sprout peptide is accurately screened, and the ineffective experiment cost is reduced.

The invention discloses a method for screening a biomarker for early non-invasive Alzheimer's disease screening based on machine learning. The method comprises the following steps: acquiring blood-derived cell free RNA (Ribonucleic Acid) sequencing (cfRNA-seq) and brain-derived single cell transcriptome sequencing (scRNA-seq) data of an Alzheimer's disease (AD) patient and an age-matched contrast; and based on the standardized data, screening out genes presenting the same expression mode in the two types of data as the biomarker for non-invasive Alzheimer's disease screening. According to the method, 34 characteristic genes which are jointly and differentially expressed in cfRNA and scRNA data sets are found, and the AD diagnosis classifier is successfully constructed by using the 34 characteristic genes. A diagnosis classifier can accurately predict AD patients and effectively distinguish AD early-stage patients, and meanwhile, the risk of an individual suffering from AD is evaluated. Results show that the key marker genes can be applied to early AD non-invasive screening and prevent disease progression; meanwhile, AD patients with different disease progresses can be distinguished, and support is provided for personalized treatment schemes of the AD patients.

The present invention relates to the field of protein engineering, and specifically relates to a Morchella esculenta peptide and the use thereof. By means of comprehensively applying bioinformatic methods such as virtual enzymolysis, activity prediction, physicochemical property and safety evaluation, and molecular docking, one Morchella esculenta peptide having the potential effects of "inhibiting oxidation + skin whitening" is screened from Morchella esculenta, which peptide has a sequence of WWVCAK. In-vitro chemical experiments verify that WWVCAK is the most effective antioxidant and tyrosinase-inhibitory peptide. Therefore, WWVCAK can exert the effects of inhibting oxidation and skin whitening via multiple targets, multiple functions and multiple pathways. WWVCAK is expected to be developed and used in cosmetics as a functional skin-care ingredient with the twin effects of "inhibiting oxidation + skin whitening".