利用微秒分子动力学计算人类血清素转运体n端结构和动力学

IF 0.5 4区 生物学 Q4 BIOCHEMICAL RESEARCH METHODS Current Proteomics Pub Date : 2021-08-10 DOI:10.2174/1570164617999200917131021
Sorin Draga, L. Olariu, S. Avram
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引用次数: 0

摘要

人类血清素转运体是治疗各种疾病的重要药物靶点,其中抑郁症是最重要的,但也包括注意缺陷多动障碍、精神分裂症、社交焦虑症和肠易激综合征等。人类转运蛋白的跨膜部分已被广泛研究,并于2016年首次结晶。然而,蛋白质n端片段的动力学性质及其翻译后修饰仍然没有得到充分的探索。本研究旨在评估人类5 -羟色胺转运体n端片段的结构和动力学,以及可能的二级结构元件的存在和稳定性,以及其翻译后修饰和紊乱倾向。研究人员利用生物信息学工具对该片段进行了理化表征、二级结构预测、翻译后修饰和无序预测,随后进行了从头计算建模和微秒长的显式溶剂分子动力学。我们的研究揭示了亚稳二级结构元件的存在,即两个α螺旋和一个β -片,在整个分子动力学运行中,并确定了许多具有高概率翻译后修饰的位点。我们的研究结果表明,尽管本质上是非结构化的,但n端采用稳定的构象,具有稳定的二级结构元素,这可能表明该片段具有重要的功能作用。此外,该片段很有可能经历多次翻译后修饰。
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Computational Insights into the Structure and Dynamics of the Human Serotonin Transporter N-Terminus by Microsecond Molecular Dynamics
The human serotonin transporter is an important drug target for the treatment of various medical conditions of which depression is the most important, but also include attention deficit hyperactivity disorder, schizophrenia, social anxiety disorder and irritable bowel syndrome, among others. The transmembrane portion of the human transporter has been studied extensively and was first crystalized in 2016. However, the dynamical nature of the N-terminal segment of protein and its post-translational modifications remain insufficiently explored. The present study aims to evaluate the structure and dynamics of the N-terminal segment of the human serotonin transporter and the presence and stability of possible secondary structure elements along with its post-translational modifications and disorder propensity. The segment was investigated using a combination of bioinformatics tools for physicochemical characterization, secondary structure prediction, post-translational modifications and disorder prediction, followed by ab initio modeling and microsecond long explicit solvent molecular dynamics. Our study reveals the presence of metastable secondary structure elements, namely two alpha helices and a beta-sheet, throughout the molecular dynamics run and identifies numerous sites with high probability for post-translational mod-ifications. Our results show that, despite the intrinsically unstructured nature, the N-terminus adopts a stable conformation with stable secondary structure elements, that could indicate an important functional role for the segment. Also, there is a high probability that the segment undergoes multiple post-translational modifications.
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来源期刊
Current Proteomics
Current Proteomics BIOCHEMICAL RESEARCH METHODS-BIOCHEMISTRY & MOLECULAR BIOLOGY
CiteScore
1.60
自引率
0.00%
发文量
25
审稿时长
>0 weeks
期刊介绍: Research in the emerging field of proteomics is growing at an extremely rapid rate. The principal aim of Current Proteomics is to publish well-timed in-depth/mini review articles in this fast-expanding area on topics relevant and significant to the development of proteomics. Current Proteomics is an essential journal for everyone involved in proteomics and related fields in both academia and industry. Current Proteomics publishes in-depth/mini review articles in all aspects of the fast-expanding field of proteomics. All areas of proteomics are covered together with the methodology, software, databases, technological advances and applications of proteomics, including functional proteomics. Diverse technologies covered include but are not limited to: Protein separation and characterization techniques 2-D gel electrophoresis and image analysis Techniques for protein expression profiling including mass spectrometry-based methods and algorithms for correlative database searching Determination of co-translational and post- translational modification of proteins Protein/peptide microarrays Biomolecular interaction analysis Analysis of protein complexes Yeast two-hybrid projects Protein-protein interaction (protein interactome) pathways and cell signaling networks Systems biology Proteome informatics (bioinformatics) Knowledge integration and management tools High-throughput protein structural studies (using mass spectrometry, nuclear magnetic resonance and X-ray crystallography) High-throughput computational methods for protein 3-D structure as well as function determination Robotics, nanotechnology, and microfluidics.
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