Demonstrating Single and Multiple Currents Through the E. coli -SecYEG-Pore: Testing for the Number of Modes of Noisy Observations
大肠杆菌 SecYEG 孔道的单通道与多通道电流:含噪观测的模态数检验AI 解读 ↓
本页整理公开书目信息,不生成学术质量评分。AI 解读根据题名及所注明的摘要或原文片段生成,未完成全文核验,可能有误;具体假设、证明与结论请核对原文。摘要保留来源文本,未经模型改写。
DOI 首次登记不等于接收或发表日期。部分更正、评论等条目没有独立摘要;缺少可靠材料时保留待补状态。
引用量采用 OpenAlex 单条关联记录,不合计多个记录;关联记录可能包含正式发表版本,不等于此版本单独引用。缺失不视为零,引用指标不代表论文质量。
关注作者按书目中的完整姓名匹配,同名和姓名变体需人工辨别。相关论文先按共享细分方向和具体方法排列,再参考通用方法与发表日期。
AI 根据所提供的论文材料归类:摘要研究生物膜电流的反卷积与模态检验,没有所列经济或金融细分方向的直接依据。
大肠杆菌 SecYEG 孔道的单通道与多通道电流:含噪观测的模态数检验AI 解读 ↓
正在核对关联版本…
正在核对对应版本的资源…
We analyze a new dataset from an electrophysiological recording of transmembrane currents through a bacterial membrane channel to demonstrate the existence of single and multiple channel currents. Protein channels mediate transport through biological membranes; knowledge of the channel properties gained from electrophysiological recordings is important for a targeted drug design. We investigate the bacterial membrane protein SecYEG which is of essential importance for the secretory pathway for sorting of newly synthesized proteins to their place of function in the cell. Our results strongly indicate that in the SecYEG pore the different modes of the density of channel currents are approximately equidistant and correspond to different numbers of open channels in the membrane. A current of ≈12 pA under the present experimental conditions turns out to be characteristic of the presence of a single open SecYEG pore, a fact that had not been electrophysiologically characterized so far. Electrophysiological recordings of single protein channels show a substantial amount of background noise. The data at our disposal can be modeled as the independent sum of an error variable and the realization of the ionic current. Thus, we are led to deconvoluting the density of the observations in order to recover the density f of the ionic currents, and then investigating the number of modes of f. To this end we propose an extension of Silverman’s (1981) test for the number of modes to deconvolution kernel density estimation, and develop the relevant theory. The finite sample performance of the test is investigated in a simulation study. Technical details for the proofs in this article are available as supplementary material online.