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  • Book
    edited by Sven Bestmann.
    Contents:
    Preface: computational neurostimulation in basic and translational research / Sven Bestmann
    Modeling sequence and quasi-uniform assumption in computational neurostimulation / Marom Bikson, Dennis Q. Truong, Antonios P. Mourdoukoutas, Mohamed Aboseria, Niranjan Khadka, Devin Adair, Asif Rahman
    Multilevel computational models for predicting the cellular effects of noninvasive brain stimulation / Asif Rahman, Belen Lafon, Marom Bikson
    Experiments and models of cortical oscillations as a target for noninvasive brain stimulation / Flavio Fröhlich
    Understanding the nonlinear physiological and behavioral effects of tDCS through computational neurostimulation / James J. Bonaiuto, Sven Bestmann
    Modeling TMS-induced I-waves in human motor cortex / Jochen Triesch, Christoph Zrenner, Ulf Ziemann
    Deep brain stimulation for neurodegenerative disease: A computational blueprint using dynamic causal modeling / Rosalyn Moran
    Model-based analysis and design of waveforms for efficient neural stimulation / Warren M. Grill
    Computational neurostimulation for Parkinson's disease / Simon Little, Sven Bestmann
    Computational modeling of neurostimulation in brain diseases / Yujiang Wang, Frances Hutchings, Marcus Kaiser
    Understanding the biophysical effects of transcranial magnetic stimulation on brain tissue: The bridge between brain stimulation and cognition / Sebastiaan F.W. Neggers, Petar I. Petrov, Stefano Mandija, Iris E.C. Sommer, Nico A.T. van den Berg
    Modeling the effects of noninvasive transcranial brain stimulation at the biophysical, network, and cognitive Level / Gesa Hartwigsen, Til Ole Bergmann, Damian Marc Herz, Steffen Angstmann, Anke Karabanov, Estelle Raffin, Axel Thielscher, Hartwig Roman Siebner.
    Digital Access ScienceDirect 2015
  • Book
    by George Mendis.
    Print [pref. 1981]
  • Article
    Janick PA, Grunwald GB, Wood JM.
    Biochim Biophys Acta. 1977 Jan 21;464(2):328-37.
    N-Ethylmaleimide (MalNEt) binds covalently and without specificity to accessible sulfhydryl residues in proteins. In some cases specificity has been imposed on this reaction by manipulating reaction conditions, yielding information concerning both enzyme mechanism and the identity of specific proteins (for example C.F. Fox and E.P. Kennedy (1965) Proc. Natl. Acad. Sci. u.s. 54, 891-899) and R.E. McCarty and J. Fagan (1973) Biochemistry 12, 1503-1507). We have examined the effects of MalNEt on the active accumulation of nine amino acids by Escherichia coli strains ML 308-225 and DL 54. Whole cells have been used in order that transport systems both dependent on and independent of periplasmic binding proteins could be studied under various conditions of energy supply for transport. Our results suggest that the systems transporting ornithine, phenylalanine and proline are those most likely to undergo inactivation by direct reaction of MalNEt with the transport apparatus, rather than merely via side effects such as interruption of their energy supply. The inhibition of proline transport is specifically enhanced by the presence of proline, competitive inhibitors of proline transport, or carbonylcyanide p-trifluoromethyoxyphenylhydrazone during MalNEt treatment. The other eight systems tested showed no analogous effects.
    Digital Access Access Options