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615 results about "Proteomics" patented technology

Proteomics is the large-scale study of proteins. Proteins are vital parts of living organisms, with many functions. The term proteomics was coined in 1997, in analogy to genomics, the study of the genome. The word proteome is a portmanteau of protein and genome, and was coined by Marc Wilkins in 1994 while he was a Ph.D. student at Macquarie University. Macquarie University also founded the first dedicated proteomics laboratory in 1995.

Applications of laser-processed substrate for molecular diagnostics

Surface enhanced Raman Scattering (SERS) and related modalities offer greatly enhanced sensitivity and selectivity for detection of molecular species through the excitation of plasmon modes and their coupling to molecular vibrational modes. One of the chief obstacles to widespread application is the availability of suitable nanostructured materials that exhibit strong enhancement of Raman scattering, are inexpensive to fabricate, and are reproducible. I describe nanostructured surfaces for SERS and other photonic sensing that use semiconductor and metal surfaces fabricated using femtosecond laser processing. A noble metal film (e.g., silver or gold) is evaporated onto the resulting nanostructured surfaces for use as a substrate for SERS. These surfaces are inexpensive to produce and can have their statistical properties precisely tailored by varying the laser processing. Surfaces can be readily micropatterned and both stochastic and self-organized structures can be fabricated. This material has application to a variety of genomic, proteomic, and biosensing applications including label free applications including binding detection. Using this material, monolithic or arrayed substrates can be designed. Substrates for cell culture and microlabs incorporating microfluidics and electrochemical processing can be fabricated as well. Laser processing can be used to form channels in the substrate or a material sandwiched onto it in order to introduce reagents and drive chemical reactions. The substrate can be fabricated so application of an electric potential enables separation of materials by electrophoresis or electro-osmosis.
Owner:EBSTEIN STEVEN M

Synthetic method and application of metal-organic framework composite nanomaterial

The invention provides a synthetic method and application of a metal-organic framework (MOF) composite nanomaterial. The method comprises the following steps: dispersing ferriferrous oxide magnetic spheres which are synthesized through a traditional hydrothermal technology in a weakly alkaline solution of dopamine hydrochloride to carry out self-polymerization of dopamine on the surfaces of the magnetic spheres; and sequentially dispersing polydopamine coated magnetic spheres in a dimethylformamide solution of zirconium chloride and a dimethylformamide solution of 2-amino-terephthalic acid to obtain the MOF composite nanomaterial with the magnetic sphere surfaces coated with polydopamine and modified with an amino group and with zirconium as a center metal ion. The material has the advantages of large specific surface area, good hydrophilicity and suitable pore structure, can be applied to further researches of the proteomics, and can specifically enrich Which can specifically enrich phosphorylated peptide segments and glycopeptides; the synthetic method is simple and quick; and the synthesized material has good hydrophilicity and biocompatibility, and can be used for selectively enriching endogenous phosphorylation peptide segments and glycopeptide in complex biological samples.
Owner:FUDAN UNIV

Method for identifying protein functions based on protein-protein interaction network and network topological structure features

InactiveCN105138866ARobustSignificant predictive advantageSpecial data processing applicationsNODALData set
The invention discloses a method for identifying protein functions based on a protein-protein interaction network and network topological structure features. Firstly, a node and side-weighted protein-protection interaction network is established, wherein the node represents protein while the edge represents the interaction; then the nodes and the sides in the network are weighted by protein first-grade structural description and protein-protein interaction trust scoring; protection functional annotation data is collected to establish a data set, and a new protein with overall and local information network topological structure features is provided based on a graph theory; and finally, the protein functions are predicated by choosing features through adopting a minimum-redundancy maximum-correlation method and by modeling through a support vector machine. The protein function predication method is greatly better than the prior art, and has robustness on sequence similarity and sampling; and meanwhile, information of three-dimensional structure and the like of protein is not required, so that the method is simple, rapid, accurate and efficient, and the method is expected to be applied in the research fields of proteomics and the like.
Owner:SYSU CMU SHUNDE INT JOINT RES INST +2
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