4 results about "String database" patented technology

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.

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 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.