10 results about "String database" patented technology

A handwriting text recognition system based on neural network includes a stroke input processor for receiving tracks of online handwriting texts, a string database for storing a large amount of the tracks; a word recognition neural network; and an after-processor being connected to the string database and the output interface of the text recognition neural network; The handwriting text recognition system based on neural network provides higher rates of confidences. Some natural languages frequently used all over the world can be recognized with a higher accuracy (including languages written from right to left and from left to right). The association relations between the input strokes and the character strings can be provided. It could support any strokes with irregular written orders.

The invention provides a method for analyzing an anti-eczema effect target spot of traumatology based on network pharmacology. The method comprises the following steps: firstly, screening out seven representative active components through a SwisSADME platform, predicting by integrating SwisTarget Prediction, SEA and ChEMBL databases to obtain 367 drug targets, and analyzing to obtain 82 intersection targets; a PPI network is constructed based on an STRING database, and 10 core targets such as IL6, TNF and EGFR are screened out through topology analysis. GO / KEGG enrichment analysis reveals that the GO / KEGG is significantly enriched in the processes of IL-17 signal pathway, epidermal barrier repair and the like. Molecular docking verification proves that isofraxidin, scopoletin and verbenin are strongly combined with EGFR (epidermal growth factor receptor) targets. According to the method, a multi-component-multi-target-multi-channel synergistic eczema treatment mechanism of traumatology is systematically analyzed, and a theoretical basis is provided for preparation optimization.

A method for constructing a protein interaction network of Chinese mitten crab: data collection: the data includes gene sequence information of Chinese mitten crab, taking organisms in the PINA database as reference model organisms, obtaining protein sequence information of the reference model organisms, and obtaining protein interaction information of each reference model organism from the PINA database and the STRING database respectively; constructing a Chinese mitten crab protein interaction subnetwork based on the reference model organism; fusing multiple Chinese mitten crab protein interaction subnetworks based on the reference model organisms; expanding the Chinese mitten crab fusion network to obtain a Chinese mitten crab protein interaction network. The Chinese mitten crab protein interaction network constructed using the method of the present invention is currently the largest Chinese mitten crab protein interaction network with the largest number of proteins and protein interaction relationships, and therefore provides richer information for biological analysis using the network.

The present invention discloses a method for screening anti-sarcopenia components in a propolis extract and its application. The process comprises: screening target genes of the propolis extract; obtaining gene targets of sarcopenia; drawing a VENNY diagram, importing the diagram into a STRING database to obtain information on protein interactions, and importing the data obtained from the STRING database into Cytoscape 3.9.1 software to obtain the degree value of each target; enrichment analysis of target genes of PE acting on sarcopenia; molecular docking; and verifying the prediction results using a D-gal-induced C2C12 cell model. Through the method, it is found that the active ingredient in the propolis extract is apigenin, and the preventive and therapeutic effect of apigenin on sarcopenia is discovered, which provides a theoretical basis for the clinical treatment of sarcopenia.

Aspects of the present invention relate to machines, systems, and methods for using a zero knowledge hash function to verify validity of an ID. Certain configurations may provide machines, systems, and method for proving the ID is genuine, the information on the ID is correct, and the user presenting the ID is the same as the user in the ID. Some configurations may store a hash based on a one-way function of a data string created from information on the ID in a hashed data string database. Certain variations of the invention may query the database to verify the hashed data string exists in the database. Based on the response of the database to the query, a card authenticator may be configured to send a control transmission to an access control device to cause the access control device change from a first state to a second state.

The invention discloses a method for analyzing the anti-gastric cancer effect of baicalein by combining network pharmacology and Mendel randomization. The method comprises the following steps: S1, collecting potential target spots of baicalein; s2, obtaining exposure data and outcome data; s3, Mendel randomization analysis is carried out, and MR analysis is carried out by using a TwoSampleMR software package of R; s4, performing difference analysis; s5, establishing a protein-protein interaction network: importing the potential action target information obtained in the step S3 into a String database to obtain protein interaction data so as to obtain a PPI network diagram, analyzing a result by using Cytoscape Version 3.9. 1 software, constructing the protein interaction network, and screening a hub gene (TOP10) scored by Clustering Coefficient by using a Cytohubba plug-in; s6, carrying out enrichment analysis on GO and KEGG pathways; s7, molecular docking verification: taking the screened gene target as a receptor, finding a receptor 3D structure file in a PDB database, taking baicalein as a ligand, and finding a ligand 3D structure file by utilizing a PubChem database; molecular docking is carried out through AutoDock software, and a docking result is visualized through PyMOL software.

The invention discloses a screening method of action targets of traditional Chinese medicine phellinus linteus and application of the screening method to treatment of HPV positive tumors, and the screening method comprises the following steps: (1) screening potential action targets of phellinus linteus, respectively obtaining pathogenic targets of HPV infected cervical cancer by combining a GeneCards database, an OMIM database and a DisGeNET database, and taking intersection to obtain common targets; (2) obtaining a protein-protein interaction network of the intersection targets by using an STRING database, and constructing a PPI network between the intersection targets; (3) carrying out GO function enrichment and KEGG pathway enrichment analysis on the core target spot; and (4) carrying out molecular docking on the identified potential target spot of the phellinus linteus. The traditional Chinese medicine phellinus linteus ketone screened by the method disclosed by the invention can accurately target HPV virus, promote degradation of key oncoprotein E6 / E7 and play an anti-tumor role by regulating mitochondrial autophagy and reducing growth and metastasis of HPV-induced cervical cancer, and the medicine is identified to be low in cost and small in toxic and side effects and has relatively good treatment potential in HPV positive tumors.

The invention discloses a method for analyzing treatment of chronic pelvic inflammation by motherwort based on network pharmacology, and relates to the technical field of medical treatment, which comprises the following steps: firstly, screening active components of motherwort from TCMSP and BATMAN-TCM databases through multi-dimensional data mining and interaction network modeling, and then predicting potential action targets of the active components by using SwisTargetPredictions and CTD databases; the method comprises the following steps: searching a target gene related to the CPID by utilizing two databases, namely a GeneCards database and an OMIM database; the method comprises the following steps: identifying common genes of active components such as quercetin of motherwort and a CPID target gene through a motherwort-target gene-CPID interaction network, and constructing a regulatory network by using Cytoscape software; according to the method, protein interaction network analysis is carried out by adopting an STRING database, in-depth analysis is carried out on network topology characteristics by applying Cytoscape, and function enrichment analysis (GO and KEGG) is carried out on key genes by adopting a cluster Profiler packet of an R language. A research result shows that the motherwort regulates and controls a plurality of key biological pathways and molecular processes through a multi-component and multi-target synergistic effect, so that the treatment effect of the motherwort on CPID is exerted.

The invention relates to the technical field of knowledge graph and medical fusion, in particular to a membranous nephropathy intelligent staging and diagnosis and treatment method based on knowledge graph reasoning, which comprises the following steps of: constructing a membranous nephropathy exclusive causal graph model, integrating multi-source data and defining a core node; hierarchical analysis, tendency score matching and a backdoor adjustment formula are combined to process hybrid variables, interference is effectively stripped, real causal association of drugs and curative effects is defined, the limitation that in the prior art, dependency correlation analysis is prone to generating false association is broken through, and accurate logic support is provided for diagnosis and treatment decisions. On the basis of an STRING database adaptation algorithm, a target protein network and a causal link are coupled, a drug onset molecular mechanism is mined, dual verification of virtual and in-vitro cell experiments is combined, a biological basis is enhanced, and the problems that a traditional method is fuzzy in mechanism and single in verification are solved. And an adaptive drug screening model is constructed in combination with disease staging, so that personalized sorting is realized.

Systems and methods for archive scanning are provided herein. In some embodiments, a method includes: selecting an archive; reading a metadata representing a plurality of files within the archive; reading a plurality of hash strings from the archive; comparing the plurality of hash strings with a database of hash strings; and determining, based on the comparing, if the plurality of files within the archive represent a security threat based on the plurality of hash strings.