GB2439675A - Chemical interaction with metabolites in organism - Google Patents

Chemical interaction with metabolites in organism

Info

Publication number
GB2439675A
GB2439675A GB0719562A GB0719562A GB2439675A GB 2439675 A GB2439675 A GB 2439675A GB 0719562 A GB0719562 A GB 0719562A GB 0719562 A GB0719562 A GB 0719562A GB 2439675 A GB2439675 A GB 2439675A
Authority
GB
United Kingdom
Prior art keywords
drug
clinical
organism
toxicity
throughput data
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Withdrawn
Application number
GB0719562A
Other versions
GB0719562D0 (en
Inventor
Ekins Sean
Budgrim Andrej
Nikolskaya Tatiana
Nikolsky Yuri
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Individual
Original Assignee
Individual
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Individual filed Critical Individual
Publication of GB0719562D0 publication Critical patent/GB0719562D0/en
Publication of GB2439675A publication Critical patent/GB2439675A/en
Withdrawn legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • G16B20/20Allele or variant detection, e.g. single nucleotide polymorphism [SNP] detection
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B35/00ICT specially adapted for in silico combinatorial libraries of nucleic acids, proteins or peptides
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/30Prediction of properties of chemical compounds, compositions or mixtures
    • C40B30/02
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B5/00ICT specially adapted for modelling or simulations in systems biology, e.g. gene-regulatory networks, protein interaction networks or metabolic networks
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/60In silico combinatorial chemistry
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B20/00ICT specially adapted for functional genomics or proteomics, e.g. genotype-phenotype associations
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16BBIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B45/00ICT specially adapted for bioinformatics-related data visualisation, e.g. displaying of maps or networks
    • GPHYSICS
    • G16INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16CCOMPUTATIONAL CHEMISTRY; CHEMOINFORMATICS; COMPUTATIONAL MATERIALS SCIENCE
    • G16C20/00Chemoinformatics, i.e. ICT specially adapted for the handling of physicochemical or structural data of chemical particles, elements, compounds or mixtures
    • G16C20/80Data visualisation

Landscapes

  • Life Sciences & Earth Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Health & Medical Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Physics & Mathematics (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Theoretical Computer Science (AREA)
  • General Health & Medical Sciences (AREA)
  • Medical Informatics (AREA)
  • Evolutionary Biology (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Chemical & Material Sciences (AREA)
  • Biotechnology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Analytical Chemistry (AREA)
  • Genetics & Genomics (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Physiology (AREA)
  • Computing Systems (AREA)
  • Crystallography & Structural Chemistry (AREA)
  • Library & Information Science (AREA)
  • Biochemistry (AREA)
  • Medicinal Chemistry (AREA)
  • Investigating Or Analysing Biological Materials (AREA)

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.
GB0719562A 2005-03-17 2006-03-17 Chemical interaction with metabolites in organism Withdrawn GB2439675A (en)

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
US66269905P 2005-03-17 2005-03-17
PCT/US2006/010053 WO2006099624A2 (en) 2005-03-17 2006-03-17 Chemical interaction with metabolites in organism

Publications (2)

Publication Number Publication Date
GB0719562D0 GB0719562D0 (en) 2007-11-14
GB2439675A true GB2439675A (en) 2008-01-02

Family

ID=36992486

Family Applications (1)

Application Number Title Priority Date Filing Date
GB0719562A Withdrawn GB2439675A (en) 2005-03-17 2006-03-17 Chemical interaction with metabolites in organism

Country Status (3)

Country Link
EP (1) EP1866824A4 (en)
GB (1) GB2439675A (en)
WO (1) WO2006099624A2 (en)

Family Cites Families (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US6365131B1 (en) * 1997-10-31 2002-04-02 J. B. Chemicals & Pharmaceuticals Ltd. Pharmaceutical dental formulation for topical application of metronidazole benzoate, chlorhexidine gluconate and local anesthetic

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
Not yet advised *

Also Published As

Publication number Publication date
WO2006099624A9 (en) 2006-11-09
WO2006099624A3 (en) 2007-12-06
EP1866824A4 (en) 2009-08-05
WO2006099624A2 (en) 2006-09-21
GB0719562D0 (en) 2007-11-14
EP1866824A2 (en) 2007-12-19

Similar Documents

Publication Publication Date Title
Kustatscher et al. Understudied proteins: opportunities and challenges for functional proteomics
Prasad et al. Toward a consensus on applying quantitative liquid chromatography‐tandem mass spectrometry proteomics in translational pharmacology research: a white paper
Samaras et al. ProteomicsDB: a multi-omics and multi-organism resource for life science research
Fontanesi Metabolomics and livestock genomics: Insights into a phenotyping frontier and its applications in animal breeding
Hoffmann et al. mzTab-M: a data standard for sharing quantitative results in mass spectrometry metabolomics
Kenyon et al. Defining the mandate of proteomics in the post-genomics era: workshop report
Mustacchi et al. Yeast systems biology to unravel the network of life
Wiśniewski et al. Multiple-enzyme-digestion strategy improves accuracy and sensitivity of label-and standard-free absolute quantification to a level that is achievable by analysis with stable isotope-labeled standard spiking
Vinaiphat et al. Prospects for proteomics in kidney stone disease
Musa et al. Comprehensive proteomic investigation of ebf1 heterozygosity in Pro-B lymphocytes utilizing data independent acquisition
Neto et al. Expanding urinary metabolite annotation through integrated mass spectral similarity networking
Ivanov et al. Interlaboratory studies and initiatives developing standards for proteomics
Yu et al. Tandem mass spectrometry molecular networking as a powerful and efficient tool for drug metabolism studies
Van Rijswijk et al. The future of metabolomics in ELIXIR
Hoffman et al. Comparison of quantitative mass spectrometry platforms for monitoring kinase ATP probe uptake in lung cancer
Davies et al. ADME SARfari: comparative genomics of drug metabolizing systems
Klann et al. Instrument logic increases identifications during mutliplexed translatome measurements
Sui et al. Robust Capillary-and Micro-Flow Liquid Chromatography–Tandem Mass Spectrometry Methods for High-Throughput Proteome Profiling
Peng et al. Comparison of database searching programs for the analysis of single-cell proteomics data
Zhang et al. Strain-specific peptide (SSP) interference reference sample: a genetically encoded quality control for isobaric tagging strategies
Weckwerth et al. The multinational Arabidopsis steering subcommittee for proteomics assembles the largest proteome database resource for plant systems biology
Nice Challenges for omics technologies in the implementation of personalized medicine
Starkey et al. Proteomics and systems biology for understanding diabetic nephropathy
Prasad et al. Towards a consensus on applying quantitative LC-MS/MS Proteomics in translational pharmacology research: a White Paper
Deng et al. freeQuant: A mass spectrometry label‐free quantification software tool for complex proteome analysis

Legal Events

Date Code Title Description
WAP Application withdrawn, taken to be withdrawn or refused ** after publication under section 16(1)