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  • knowledge acquisition  (1)
  • General Chemistry
  • smooth muscle
  • 1985-1989  (2)
  • 1985  (2)
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Publisher
Years
  • 1985-1989  (2)
Year
  • 1
    Electronic Resource
    Electronic Resource
    Springer
    Molecular and cellular biochemistry 67 (1985), S. 47-53 
    ISSN: 1573-4919
    Keywords: α1-adrenergic receptor ; membrane ; photoaffinity ; smooth muscle
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology , Chemistry and Pharmacology , Medicine
    Notes: Summary In this study, we have used an α1-adrenergic receptor photoaffinity ligand, 2-[4-(4-azido-3-iodo-benzoyl)-piperazin-1-yl]-4-amino-6, 7-dimethoxyquinazoline (125I-APD), to label covalently the α1-adrenergic receptor in a smooth muscle cell line. Our results indicate that in the absence of light, (125I)APD binds reversibly to a site in the DDT1 MF-2 cell membranes having pharmacological characteristics of an α1-adrenergic receptor. Following incorporation of (125I)ADP into partially purified membranes a single labeled band of protein with a Mr of 81 000 was visualized by autoradiography following sodium dodecyl sulfate-polyacrylamide gel electrophoresis. Incorporation of (125I)-APD into this band was affected by adrenergic agonists and antagonists in a manner consistent with an α1-adrenergic interaction. Prazosin (α1-selective) blocked incorporation of the label into the Mr = 81 000 protein while yohimbine (α2-selective) did not. Of the adrenergic agonists, (−)-epinephrine and (−)-norepinephrine but not (−)-isoproterenol blocked labeling of the Mr − 81 000 protein. We conclude that the ligand binding site of the DDT1 MF-2 cell α1-adrenergic receptor resides in a Mr = 81 000 protein.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Springer
    Journal of automated reasoning 1 (1985), S. 49-74 
    ISSN: 1573-0670
    Keywords: Expert systems ; knowledge acquisition
    Source: Springer Online Journal Archives 1860-2000
    Topics: Computer Science
    Notes: Abstract This paper describes ROGET, a knowledge-based system that assists a domain expert with an important design task encountered during the early phases of expert-system construction. ROGET conducts a dialogue with the expert to acquire the expert system's conceptual structure, a representation of the kinds of domain-specific inferences that the consultant will perform and the facts that will support these inferences. ROGET guides this dialogue on the basis of a set of advice and evidence categories. These abstract categories are domain independent and can be employed to guide initial knowledge acquisition dialogues with experts for new applications. This paper discusses the nature of an expert system's conceptual structure and describes the organization and operation of the ROGET system that supports the acquisition of conceptual structures.
    Type of Medium: Electronic Resource
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