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Träfflista för sökning "WFRF:(Roepstorff P.) "

Search: WFRF:(Roepstorff P.)

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  • Roepstorff, P., et al. (author)
  • Application of Plasma Desorption Mass Spectrometry to Molecular Weight Determination of Structural Protein from Insect Cuticle
  • 1986
  • In: Journal of Mass Spectrometry. - : Wiley. - 1076-5174 .- 1096-9888. ; 13:12, s. 689-691
  • Journal article (peer-reviewed)abstract
    • During sequence determination of a structural protein from the cuticle of the migratory locust, Locusta migratoria, a discrepancy was found between the molecular weight calculated from the sequence data (15 323) and that estimated by SDS-gel electrophoresis (21 600). The protein contains several repeated sequences, and the discrepancy might indicate that part of the sequence was missing or that the protein contained a large prosthetic group. The molecular weight of the protein was determined by 127I-plasma desorption mass spectrometry to be 15 329±50 which confirms the sequence data and shows the molecular weight determination based on SDS-electrophoresis to be too high.
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  • Braganca, F. M. Serra, et al. (author)
  • Improving gait classification in horses by using inertial measurement unit (IMU) generated data and machine learning
  • 2020
  • In: Scientific Reports. - : Springer Nature. - 2045-2322. ; 10:1
  • Journal article (peer-reviewed)abstract
    • For centuries humans have been fascinated by the natural beauty of horses in motion and their different gaits. Gait classification (GC) is commonly performed through visual assessment and reliable, automated methods for real-time objective GC in horses are warranted. In this study, we used a full body network of wireless, high sampling-rate sensors combined with machine learning to fully automatically classify gait. Using data from 120 horses of four different domestic breeds, equipped with seven motion sensors, we included 7576 strides from eight different gaits. GC was trained using several machine-learning approaches, both from feature-extracted data and from raw sensor data. Our best GC model achieved 97% accuracy. Our technique facilitated accurate, GC that enables in-depth biomechanical studies and allows for highly accurate phenotyping of gait for genetic research and breeding. Our approach lends itself for potential use in other quadrupedal species without the need for developing gait/animal specific algorithms.
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  • Sönksen, C. P., et al. (author)
  • Capture and analysis of low molecular weight ligands by surface plasmon resonance combined with mass spectrometry
  • 2001
  • In: European journal of mass spectrometry. - : SAGE Publications. - 1469-0667 .- 1751-6838. ; 7:4-5, s. 385-391
  • Journal article (peer-reviewed)abstract
    • The combination of biomolecular interaction analysis (BIA)by surface plasmon resonance (SPR)and nano-electrospray ionization ion trap mass spectrometry (nanoESI-Ion Trap MS)as well as matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-ToF MS)is demonstrated for the binding of low molecular weight inhibitors (∼ 600 Da) to HIV-1 protease. Inhibitors were captured on sensor chips of a manual or an automated SPR biosensor, to which HIV-1 protease was immobilized. Compounds and buffer components that bound unspecifically to the sensor surface were removed and the inhibitors were eluted in a minimal volume (3 μL), between air bubbles, in order to prevent dispersion of analyte into buffer eluent. Molecular weights were subsequently determined by mass spectrometry, structural information was obtained by MALDI-ToF post-source decay as well as by electrospray ionization tandem mass spectrometry (MS/MS)analysis. Furthermore, competition experiments, using a mixture of different ligands, demonstrated that the peak intensities in the MALDI-ToF spectrum could be used for relative quantification of the amount of the different ligands bound to the immobilized target. Methodology for automated capture and elution of analytes was developed and evaluated.
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  • Czerwiec, E, et al. (author)
  • Novel gamma-carboxyglutamic acid-containing peptides from the venom of Conus textile
  • 2006
  • In: The FEBS Journal. - : Wiley. - 1742-464X .- 1742-4658. ; 273:12, s. 2779-2788
  • Journal article (peer-reviewed)abstract
    • The cone snail is the only invertebrate system in which the vitamin K-dependent carboxylase (or gamma-carboxylase) and its product gamma-carboxyglutamic acid (Gla) have been identified. It remains the sole source of structural information of invertebrate gamma-carboxylase substrates. Four novel Gla-containing peptides were purified from the venom of Conus textile and characterized using biochemical methods and mass spectrometry. The peptides Gla(1)-TxVI, Gla(2)-TxVI/A, Gla(2)-TxVI/B and Gla(3)-TxVI each have six Cys residues and belong to the O-superfamily of conotoxins. All four conopeptides contain 4-trans-hydroxyproline and the unusual amino acid 6-L >-bromotryptophan. Gla(2)-TxVI/A and Gla(2)-TxVI/B are isoforms with an amidated C-terminus that differ at positions +1 and +13. Three isoforms of Gla(3)-TxVI were observed that differ at position +7: Gla(3)-TxVI, Glu7-Gla(3)-TxVI and Asp7-Gla(3)-TxVI. The cDNAs encoding the precursors of the four peptides were cloned. The predicted signal sequences (amino acids -46 to -27) were nearly identical and highly hydrophobic. The predicted propeptide region (-20 to -1) that contains the gamma-carboxylation recognition site (gamma-CRS) is very similar in Gla(2)-TxVI/A, Gla(2)-TxVI/B and Gla(3)-TxVI, but is more divergent for Gla(1)-TxVI. Kinetic studies utilizing the Conus gamma-carboxylase and synthetic peptide substrates localized the gamma-CRS of Gla(1)-TxVI to the region -14 to -1 of the polypeptide precursor: the K-m was reduced from 1.8 mM for Gla (1)-TxVI lacking a propeptide to 24 mu M when a 14-residue propeptide was attached to the substrate. Similarly, addition of an 18-residue propeptide to Gla(2)-TxVI/B reduced the K-m value tenfold.
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