利用多肽分子整体描述符,对70条辛诺柏病毒(sin nombre virus,SNV)抑制肽的结构和理化性质进行表征,结合遗传算法进行变量筛选,并借助偏最小二乘算法建立定量构效关系(QSAR)模型,对多肽进行优化设计。基于遗传算法-偏最小二乘算法的QSAR模型具有较好的预测能力(R^2>0.84,Q_(ext)~2>0.61);依据模型设计出了一组具有较高预测活性的多肽。建立的QSAR模型对辛诺柏病毒抑制肽的优化设计具有指导作用,为高活性抗病毒多肽的合成和实验验证打下了基础。
The potential involvement of calcium in signalling in cyanobacteria has been investigated in recent years. Enough evidences showed that the cyanobacteria were capable of sensing and distinguishing different environmental stimuli, and making responses in ways of Ca^2＋ transients, which were the results of influx or efflux of Ca^2＋ aroused by different environmental stimuli. The calcium signal elicited by nitrogen starvation was crucial to heterocyst differentiation in filamentous cyanobacteria Anabaena species. Identification of a calcium-binding protein （CcbP） from Anabaena sp. PCC 7120 provided further evidence, and the degradation and down-regulation of CcbP accounted for the generation of calcium signal when nitrogen starvation exits. However, the encoding and decoding mechanisms of the calcium signals in cyanobacteria still remain unclear. In order to reveal the exact role of it, a detailed, systematic investigation will be needed, especially for the calcium dynamics at the single cell level.
