Cardin A D, Weintraub H J
Merrell Dow Research Institute, Cincinnati, Ohio 45215.
Arteriosclerosis. 1989 Jan-Feb;9(1):21-32. doi: 10.1161/01.atv.9.1.21.
Forty-nine regions in 21 proteins were identified as potential heparin-binding sites based on the sequence organizations of their basic and nonbasic residues. Twelve known heparin-binding sequences in vitronectin, apolipoproteins E and B-100, and platelet factor 4 were used to formulate two search strings for identifying potential heparin-binding regions in other proteins. Consensus sequences for glycosaminoglycan recognition were determined as [-X-B-B-X-B-X-] and [-X-B-B-B-X-X-B-X-] where B is the probability of a basic residue and X is a hydropathic residue. Predictions were then made as to the heparin-binding domains in endothelial cell growth factor, purpurin, and antithrombin-III. Many of the natural sequences conforming to these consensus motifs show prominent amphipathic periodicities having both alpha-helical and beta-strand conformations as determined by predictive algorithms and circular dichroism studies. The heparin-binding domain of vitronectin was modeled and formed a hydrophilic pocket that wrapped around and folded over a heparin octasaccharide, yielding a complementary structure. We suggest that these consensus sequence elements form potential nucleation sites for the recognition of polyanions in proteins and may provide a useful guide in identifying heparin-binding regions in other proteins. The possible relevance of protein-glycosaminoglycans interactions in atherosclerosis is discussed.
基于21种蛋白质中碱性和非碱性残基的序列结构,确定了49个区域为潜在的肝素结合位点。利用玻连蛋白、载脂蛋白E和B - 100以及血小板因子4中12个已知的肝素结合序列,制定了两个搜索字符串,用于识别其他蛋白质中的潜在肝素结合区域。糖胺聚糖识别的共有序列确定为[-X-B-B-X-B-X-]和[-X-B-B-B-X-X-B-X-],其中B为碱性残基的概率,X为亲水性残基。然后对内皮细胞生长因子、紫红素和抗凝血酶III中的肝素结合结构域进行了预测。许多符合这些共有基序的天然序列表现出显著的两亲性周期性,通过预测算法和圆二色性研究确定其具有α - 螺旋和β - 链构象。对玻连蛋白的肝素结合结构域进行建模,形成了一个亲水口袋,该口袋围绕肝素八糖并折叠其上,产生互补结构。我们认为,这些共有序列元件形成了蛋白质中识别多阴离子的潜在成核位点,并可能为识别其他蛋白质中的肝素结合区域提供有用的指导。讨论了蛋白质 - 糖胺聚糖相互作用在动脉粥样硬化中的可能相关性。