Multiscale Computer Modeling to Evaluate Protein-Ligand Off-Target Interactions

为了具有生物活性，所有的蛋白质和小分子都必须在物理上适应其靶标内的结合位点。然而，在达到它们的目标时，它们必须与各种细胞成分相互作用。所有这些事件都增加了分子的可能性，特别是外源性细胞来源的小分子（例如食品添加剂和污染物），与不希望的脱靶结合，导致几种生理功能的破坏。我的研究项目侧重于使用计算机模拟来理解蛋白质和小分子脱靶相互作用背后的生物物理机制。我们以心脏离子通道为模型来研究这一过程。心脏离子通道（如hERG）是一种含有混杂结合位点的膜蛋白，据报道可与多种小分子相互作用。更重要的是，这些相互作用的数据是公开的，并且在过去的几十年里一直保持着，这使得心脏离子通道成为一个很好的模型，可以使用计算机模拟来理解蛋白质的脱靶相互作用。在过去的几年里，我的研究小组和其他人为几个心脏通道开发了各种基于计算机的模型。尽管这些模型提供了有用的工具来理解离子通过其孔域的通道和脱靶相互作用的机制，但仍有许多研究问题需要回答。例如，新出现的证据强调，抑制通道运输是小分子降低心脏通道密度的另一种脱靶途径，从而降低离子流量。它们主要通过阻断离子通道与其分子伴侣（如HSP70/90）的相互作用来达到这一目的，这大大减少了膜中活性通道的数量。此外，心脏通道与某些脂质或性激素的相互作用也可以调节它们的活性。小分子利用这些脂质介导的位点/途径的脱靶机制尚不完全清楚。因此，目前的建议扩展了我们早期的工作，旨在从计算的角度理解小分子抑制心脏通道运输并与这些通道中的脂质结合位点相互作用的脱靶机制。长期目标：了解蛋白质和小分子脱靶相互作用背后的生物物理机制。短期目标：我们将利用多尺度模拟：1)研究小分子对抑制通道伴侣形成的影响。2)研究脂溶性分子对心脏离子通道调控的影响。意义：该建议的成功实施有助于克服当前脱靶计算机预测模型的主要局限性，该模型主要关注通道孔隙阻塞。这一提议预计还将培训大量hqp。

To be biologically active, all proteins and small molecules must physically fit into the binding site(s) within their targets. However, in reaching their targets, they have to interact with a variety of cellular components. All these events increase the probability for a molecule, particularly a small molecule of exogenous cellular origin (e.g. food additives and pollutants), to bind to an undesired off-target(s), leading to the disruption of several physiological functions. My research program is focused on using computer simulations to understand the biophysical mechanisms behind off-target interactions of proteins and small molecules. We use cardiac ion channels as a model to study this process. Cardiac ion channels (e.g. hERG) are membrane proteins that contain promiscuous binding sites and have been reported to interact with diverse small molecules. More importantly, these interactions' data are publicly available and have been maintained over the last decades, making cardiac ion channels an excellent model to understand proteins' off-target interactions using computer simulations. Over the last few years my research group and others developed various computer-based models for several cardiac channels. Although, these models provided useful tools to understand the mechanisms of ions' passage and off-target interactions through their pore domains, there are still many research questions that need to be answered. For example, emerging evidences emphasize the inhibition of channel trafficking as an alternative off-target pathway for small molecules to reduce cardiac channels' density, hence, lowering ions' flow. They mainly do that by blocking the interactions of ion channels with their molecular chaperones (e.g. HSP70/90), which significantly reduces the number of active channels in the membrane. In addition, interactions of cardiac channels with certain lipids or sex hormones can also modulate their activity. The off-target mechanisms for small molecules to exploit these lipid-mediated sites/pathways are not fully understood. Thusly motivated, the current proposal expands upon our earlier work and aims to understand the off-target mechanisms by which small molecules inhibit cardiac channels' trafficking and interact with lipids' binding sites in these channels from a computational perspective. Long-term goal: To understand the biophysical mechanisms behind off-target interactions of proteins and small molecules. Short-term goals: We will use multiscale simulations to: 1) Study the effects of small molecules on inhibiting channels-chaperones formation. 2) Study the effects of lipid-soluble molecules on cardiac ion channels' modulation. Significance: The successful implementation of this proposal can help overcome a major limitation of current off-target computer-based predictive models, which mainly focused on channels' pore blockade. This proposal is also expected to train a significant number of HQPs.