Ferraro Mariarosaria, Masetti Matteo, Recanatini Maurizio, Cavalli Andrea, Bottegoni Giovanni
CompuNet, Istituto Italiano di Tecnologia, Genova, Italy.
Department of Pharmacy and Biotechnology (FaBiT), Alma Mater Studiorum - Università di Bologna, Bologna, Italy.
PLoS One. 2016 Dec 1;11(12):e0166196. doi: 10.1371/journal.pone.0166196. eCollection 2016.
Serotonin transporter (SERT) modulates serotonergic signaling via re-uptake of serotonin in pre-synaptic cells. The inclusion in cholesterol-enriched membrane domains is crucial for SERT activity, suggesting a cross-talk between the protein and the sterol. Here, we develop a protocol to identify potential cholesterol interaction sites coupling statistical analysis to multi-microsecond coarse-grained molecular dynamics simulations of SERT in a previously validated raft-like membrane model. Six putative sites were found, including a putative CRAC motif on TM4 and a CARC motif on TM10. Among them, four hot-spots near regions related to ion binding, transport, and inhibition were detected. Our results encourage prospective studies to unravel mechanistic features of the transporter and related drug discovery implications.
血清素转运体(SERT)通过在突触前细胞中重新摄取血清素来调节血清素能信号传导。纳入富含胆固醇的膜结构域对SERT活性至关重要,这表明该蛋白质与固醇之间存在相互作用。在这里,我们开发了一种协议,通过统计分析与SERT在先前验证的筏状膜模型中的多微秒粗粒度分子动力学模拟相结合,来识别潜在的胆固醇相互作用位点。发现了六个假定位点,包括TM4上的一个假定CRAC基序和TM10上的一个CARC基序。其中,在与离子结合、转运和抑制相关的区域附近检测到四个热点。我们的结果鼓励进行前瞻性研究,以揭示该转运体的机制特征以及相关药物发现的意义。