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作者机构:UNIV CALIF SAN FRANCISCO DEPT PHARMACOL SAN FRANCISCO CA 94143 USA UNIV CALIF SAN FRANCISCO LANGLEY PORTER INST SAN FRANCISCO CA 94143 USA UNIV CALIF SAN FRANCISCO DEPT BIOCHEM SAN FRANCISCO CA 94143 USA UNIV CALIF SAN FRANCISCO DEPT BIOPHYS SAN FRANCISCO CA 94143 USA
出 版 物:《COMPUTERS IN BIOLOGY AND MEDICINE》 (生物学与医学中的计算机)
年 卷 期:1989年第19卷第3期
页 面:151-162页
核心收录:
学科分类:0831[工学-生物医学工程(可授工学、理学、医学学位)] 0710[理学-生物学] 07[理学] 09[农学] 0812[工学-计算机科学与技术(可授工学、理学学位)]
主 题:Beta-endorphin Dynorphin Mu opioid receptor Delta opioid receptor Kappa opioid receptor Computer program Enkephalin
摘 要:The binding of three tritiated opioid ***, D-ala2-D-leu5-enkephalin and ethylketocyclazocine-was subjected to competitionby unlabeled beta-endorphin, dynorphin-(1-13), and various fragments of these peptides, and the results analyzed by a computer program that we developed in an earlier study [11]. Peptides in both groups bound with highest affinity to sites 1 and 3 in our 4-site model, corresponding to the mu and delta sites of convention classifications, with the dynorphin peptides also interacting with site 2, the kappa site. These results are discussed in relationship to the possible biological roles of these peptides as analgesics or as modulators of analgesia.