Search

Yuri V Nikolsky

from Solana Beach, CA
Age ~59
Get Report
Also known as:
Yuri V Nikolskaya, Kolsky M Yuri, Yury Nickolsky, Yuri Y
Related to:
Tatiana Nikolskaya, 60Paulina Nikolsky, 34
Connected to:
Galina Nikonchuk, 35Janice A Nikonchuk, 59Ashley M Nikoo, 37Hossein Nikoo, 45Ali Nikoomanesh, 35Neshat Nikoomanesh, 41James N Nikopoulos, 44Sylvia J Nikopoulos, 70Ann Nikorak, 64William Nikosey, 40

Yuri Nikolsky Phones & Addresses

  • Solana Beach, CA
  • 2608 Via Rancheros, Fallbrook, CA 92028
  • 21 Chrismar Rd, Portage, IN 46368
  • Saint Joseph, MI
  • 4628 Rancho Reposo, Del Mar, CA 92014
  • San Diego, CA
  • Chicago, IL
  • Escondido, CA

Business Records

Name / Title
Company / Classification
Phones & Addresses
Yuri Nikolsky
Managing
Torrey Pines LLC
Nonclassifiable Establishments
3433 Rich Fld Dr, Carlsbad, CA 92010
Yuri Nikolsky
President
GENEGO, INC
Commercial Physical Research Srvcs
1 Sta Pl, Stamford, CT 06902
1 Sta Pl, Stamford, CT 06902
500 Renaissance Dr, Saint Joe, MI 49085
(269) 983-7893

Publications

Us Patents

Methods For Identification Of Novel Protein Drug Targets And Biomarkers Utilizing Functional Networks

View page
US Patent:
20070038385, Feb 15, 2007
Filed:
Aug 4, 2006
Appl. No.:
11/499437
Inventors:
Tatiana Nikolskaya - Portage IN, US
Andrej Bugrim - St. Joseph MI, US
Yuri Nikolsky - Portage IN, US
International Classification:
G06F 19/00
US Classification:
702019000, 702020000
Abstract:
The process of System Reconstruction is used to integrate sequence data, clinical data, experimental data, and literature into functional models of disease pathways. System Reconstruction models serve as informational skeletons for integrating various types of high-throughput data. The present invention provides the first metabolic reconstruction study of a eukaryotic organism based solely on expressed sequence tag (EST) data. System Reconstruction also provides a method for the identification of novel therapeutic targets and biomarkers using network analysis. The initial seed networks are built from the lists of novel targets for diseases with the high-throughput experimental data being superimposed on the seed networks to identify specific targets.

System And Method For Prediction Of Drug Metabolism, Toxicity, Mode Of Action, And Side Effects Of Novel Small Molecule Compounds

View page
US Patent:
20070219768, Sep 20, 2007
Filed:
Mar 17, 2006
Appl. No.:
11/378928
Inventors:
Sean Ekins - Jenkintown PA, US
Andrej Bugrim - St. Joseph MI, US
Tatiana Nikolskaya - Portage IN, US
Yuri Nikolsky - Portage IN, US
International Classification:
G06G 7/48
G06G 7/58
US Classification:
703011000
Abstract:
A system is provided for the prediction of human drug metabolism and toxicity of novel compounds. The system enables the visualization of pre-clinical and clinical high-throughput data in the context of a complete biological organism. Substructure and similarity structure searches can be performed using the underlying databases of xenobiotics, active ligands, and endobiotics. The system also has an analytical component for the parsing, integration, and network analysis of genomics, proteomics, and metabolomics high-throughput data. From this information, the system further generates networks around proteins, genes and compounds to assess toxicity and drug-drug interactions.

Toxin/Antitoxin Systems And Methods For Regulating Cellular Growth, Metabolic Engineering And Production Of Recombinant Proteins

View page
US Patent:
20090124012, May 14, 2009
Filed:
Aug 8, 2008
Appl. No.:
12/189093
Inventors:
Yuri NIKOLSKY - Del Mar CA, US
Mark BAEV - Toronto, CA
Assignee:
Mazef Biosciences, LLC - Del Mar CA
International Classification:
C12N 15/82
C12N 5/06
US Classification:
435455, 435325, 435375
Abstract:
The present invention provides compositions and method for regulating cellular growth and metabolism, intra- and extracellular enzymatic activities, and synthesis of endogenous and/or heterologous proteins, comprising the steps of cloning genes encoding an mRNA interferase (toxin) and its cognate antitoxin; expressing these proteins in a host cell from two separate constitutive or inducible promoters on one or more plasmid vectors or on a chromosome; and regulating the cellular growth and metabolism by controlling the ratio of toxin and antitoxin present in the host cell. Optionally, the method provides further steps of modifying an endogenous or heterologous gene of interest to substitute all mRNA recognition sequences with sequences that are not cleavable by the mRNA interferase being expressed without any change in the amino acid sequence of the protein encoded by the gene; and co-expressing the gene of interest in the same host cell.

Novel Methods For Functional Analysis Of High-Throughput Experimental Data And Gene Groups Identified Therefrom

View page
US Patent:
20100216660, Aug 26, 2010
Filed:
Dec 19, 2007
Appl. No.:
12/520441
Inventors:
Yuri Nikolsky - Del Mar CA, US
Andrej Bugrim - New Buffalo MI, US
Tatiana Nikolskaya - Portage IN, US
International Classification:
C40B 30/04
C40B 40/08
US Classification:
506 9, 506 17
Abstract:
The present invention relates generally to groups of genes that can be used to diagnose and differentiate between types of specific diseases such as breast cancer. The groups of genes can be further used to develop diagnostic kits for the specific diseases. The diagnostic kits can also differentiate between sub-categories of a disease to help identify the appropriate treatment regimen for a patient.

System And Method For Prediction Of Drug Metabolism, Toxicity, Mode Of Action, And Side Effects Of Novel Small Molecule Compounds

View page
US Patent:
20100250218, Sep 30, 2010
Filed:
Mar 29, 2010
Appl. No.:
12/749429
Inventors:
Sean EKINS - Jenkintown PA, US
Andrej Bugrim - St. Joseph MI, US
Tatiana Nikolskaya - Portage IN, US
Yuri Nikolsky - Del Mar CA, US
International Classification:
G06G 7/48
US Classification:
703 11
Abstract:
A system is provided for the prediction of human drug metabolism and toxicity of novel compounds. The system enables the visualization of pre-clinical and clinical high-throughput data in the context of a complete biological organism. Substructure and similarity structure searches can be performed using the underlying databases of xenobiotics, active ligands, and endobiotics. The system also has an analytical component for the parsing, integration, and network analysis of genomics, proteomics, and metabolomics high-throughput data. From this information, the system further generates networks around proteins, genes and compounds to assess toxicity and drug-drug interactions.

System And Method For Prediction Of Drug Metabolism, Toxicity, Mode Of Action, And Side Effects Of Novel Small Molecule Compounds

View page
US Patent:
20120029896, Feb 2, 2012
Filed:
Mar 28, 2011
Appl. No.:
13/073901
Inventors:
Sean Ekins - Jenkintown PA, US
Andrej Bugrim - St. Joseph MI, US
Tatiana Nikolskaya - Portage IN, US
Yuri Nikolsky - Del Mar CA, US
Assignee:
GeneGo, Inc. - Saint Joseph MI
International Classification:
G06G 7/60
US Classification:
703 11, 706 21
Abstract:
A system is provided for the prediction of human drug metabolism and toxicity of novel compounds. The system enables the visualization of pre-clinical and clinical high-throughput data in the context of a complete biological organism. Substructure and similarity structure searches can be performed using the underlying databases of xenobiotics, active ligands, and endobiotics. The system also has an analytical component for the parsing, integration, and network analysis of genomics, proteomics, and metabolomics high-throughput data. From this information, the system further generates networks around proteins, genes and compounds to assess toxicity and drug-drug interactions.

Methods For Identification Of Novel Protein Drug Targets And Biomarkers Utilizing Functional Networks

View page
US Patent:
20120185227, Jul 19, 2012
Filed:
Aug 15, 2011
Appl. No.:
13/210302
Inventors:
Tatiana Nikolskaya - Portage IN, US
Andrej Bugrim - St. Joseph MI, US
Yuri Nikolsky - Portage IN, US
International Classification:
G06G 7/60
US Classification:
703 11
Abstract:
The process of System Reconstruction is used to integrate sequence data, clinical data, experimental data, and literature into functional models of disease pathways. System Reconstruction models serve as informational skeletons for integrating various types of high-throughput data. The present invention provides the first metabolic reconstruction study of a eukaryotic organism based solely on expressed sequence tag (EST) data. System Reconstruction also provides a method for the identification of novel therapeutic targets and biomarkers using network analysis. The initial seed networks are built from the lists of novel targets for diseases with the high-throughput experimental data being superimposed on the seed networks to identify specific targets.

Methods For Identification Of Novel Protein Drug Targets And Biomarkers Utilizing Functional Networks

View page
US Patent:
20150339436, Nov 26, 2015
Filed:
Aug 6, 2015
Appl. No.:
14/820469
Inventors:
- St. Joseph MI, US
Andrej BUGRIM - St. Joseph MI, US
Yuri NIKOLSKY - Del Mar CA, US
Assignee:
GENEGO, INC. - Saint Joseph MI
International Classification:
G06F 19/12
Abstract:
The process of System Reconstruction is used to integrate sequence data, clinical data, experimental data, and literature into functional models of disease pathways. System Reconstruction models serve as informational skeletons for integrating various types of high-throughput data. The present invention provides the first metabolic reconstruction study of a eukaryotic organism based solely on expressed sequence tag (EST) data. System Reconstruction also provides a method for the identification of novel therapeutic targets and biomarkers using network analysis. The initial seed networks are built from the lists of novel targets for diseases with the high-throughput experimental data being superimposed on the seed networks to identify specific targets.
Control profile
Yuri V Nikolsky from Solana Beach, CA, age ~59 Get Report