Nothing Special   »   [go: up one dir, main page]

Hansen et al., 2005 - Google Patents

X-Hitting: an algorithm for novelty detection and dereplication by UV spectra of complex mixtures of natural products

Hansen et al., 2005

Document ID
69174399534375274
Author
Hansen M
Smedsgaard J
Larsen T
Publication year
Publication venue
Analytical chemistry

External Links

Snippet

A major challenge in lead discovery is to detect well-known and trivial compounds rapidly, a process known as dereplication, so that isolation, structure elucidation, and pharmacological investigations can be focused on novel compounds. In this paper, we present a new …
Continue reading at pubs.acs.org (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N33/00Investigating or analysing materials by specific methods not covered by the preceding groups
    • G01N33/48Investigating or analysing materials by specific methods not covered by the preceding groups biological material, e.g. blood, urine; Haemocytometers
    • G01N33/50Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing
    • G01N33/5005Chemical analysis of biological material, e.g. blood, urine; Testing involving biospecific ligand binding methods; Immunological testing involving human or animal cells
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06QDATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q30/00Commerce, e.g. shopping or e-commerce
    • G06Q30/02Marketing, e.g. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards; Price estimation or determination
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F19/00Digital computing or data processing equipment or methods, specially adapted for specific applications
    • G06F19/10Bioinformatics, i.e. methods or systems for genetic or protein-related data processing in computational molecular biology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06FELECTRICAL DIGITAL DATA PROCESSING
    • G06F3/00Input arrangements for transferring data to be processed into a form capable of being handled by the computer; Output arrangements for transferring data from processing unit to output unit, e.g. interface arrangements
    • G06F3/01Input arrangements or combined input and output arrangements for interaction between user and computer
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06KRECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints

Similar Documents

Publication Publication Date Title
Tziotis et al. Kendrick-analogous network visualisation of ion cyclotron resonance Fourier transform mass spectra: improved options for the assignment of elemental compositions and the classification of organic molecular complexity
Li et al. Next-generation mass spectrometry metabolomics revives the functional analysis of plant metabolic diversity
Skinnider et al. A deep generative model enables automated structure elucidation of novel psychoactive substances
Liu et al. Advances in the study of metabolomics and metabolites in some species interactions
Parastar et al. Big (bio) chemical data mining using chemometric methods: a need for chemists
Cuperlovic-Culf et al. Applied metabolomics in drug discovery
Wagenaar Pre-fractionated microbial samples–the second generation natural products library at Wyeth
Whittle et al. Evaluation of similarity measures for searching the dictionary of natural products database
Hansen et al. X-Hitting: an algorithm for novelty detection and dereplication by UV spectra of complex mixtures of natural products
Torun et al. Transparent exploration of machine learning for biomarker discovery from proteomics and omics data
Warchal et al. Evaluation of machine learning classifiers to predict compound mechanism of action when transferred across distinct cell lines
Kaeslin et al. Differentiation of cystic fibrosis-related pathogens by volatile organic compound analysis with secondary electrospray ionization mass spectrometry
Rath et al. Data-independent microbial metabolomics with ambient ionization mass spectrometry
Wu et al. Elucidating structures of complex organic compounds using a machine learning model based on the 13C NMR chemical shifts
Szucs et al. Structure driven prediction of chromatographic retention times: applications to pharmaceutical analysis
Elmsjo et al. Post-mortem metabolomics: a novel approach in clinical biomarker discovery and a potential tool in death investigations
Slysz et al. Automated data extraction from in situ protein-stable isotope probing studies
Mannu et al. 13C NMR-based chemical fingerprint for the varietal and geographical discrimination of wines
Lenski et al. Prediction of a large-scale database of collision cross-section and retention time using machine learning to reduce false positive annotations in untargeted metabolomics
Seiber et al. Targeted metabolomics: a new section in the Journal of Agricultural and Food Chemistry
Cleary et al. BLANKA: An Algorithm for blank subtraction in mass spectrometry of complex biological samples
Lavine et al. Electronic van der Waals Surface Property Descriptors and Genetic Algorithms for Developing Structure− Activity Correlations in Olfactory Databases
Boyce et al. Identifying xenobiotic metabolites with in silico prediction tools and LCMS suspect screening analysis
Eriksson et al. Clusterwise peak detection and filtering based on spatial distribution to efficiently mine mass spectrometry imaging data
Atasoylu et al. The solution structure of (+)-spongistatin 1 in DMSO