von Heijne G
Department of Molecular Biology, Karolinska Institute Center for Structural Biochemistry, Huddinge, Sweden.
J Mol Biol. 1992 May 20;225(2):487-94. doi: 10.1016/0022-2836(92)90934-c.
A new strategy for predicting the topology of bacterial inner membrane proteins is proposed on the basis of hydrophobicity analysis, automatic generation of a set of possible topologies and ranking of these according to the positive-inside rule. A straightforward implementation with no attempts at optimization predicts the correct topology for 23 out of 24 inner membrane proteins with experimentally determined topologies, and correctly identifies 135 transmembrane segments with only one overprediction.
基于疏水性分析、自动生成一组可能的拓扑结构并根据正内规则对这些结构进行排序,提出了一种预测细菌内膜蛋白拓扑结构的新策略。一种未经优化尝试的直接实现方法,对于24种具有实验确定拓扑结构的内膜蛋白中的23种能够预测出正确的拓扑结构,并且仅过度预测了一个跨膜片段,就正确识别出了135个跨膜片段。