Comparative In Silico Analysis and Functional Characterization of TANK-Binding Kinase 1-Binding Protein 1.

IF 2.3 Q3 BIOCHEMICAL RESEARCH METHODS Bioinformatics and Biology Insights Pub Date : 2023-01-01 DOI:10.1177/11779322231164828
Humaira Aziz Sawal, Shagufta Nighat, Tanzeela Safdar, Laiba Anees
{"title":"Comparative In Silico Analysis and Functional Characterization of TANK-Binding Kinase 1-Binding Protein 1.","authors":"Humaira Aziz Sawal,&nbsp;Shagufta Nighat,&nbsp;Tanzeela Safdar,&nbsp;Laiba Anees","doi":"10.1177/11779322231164828","DOIUrl":null,"url":null,"abstract":"<p><p>Protein modelling plays a vital role in the drug discovery process. TANK-binding kinase 1-binding protein 1 is also called an adapter protein, which is encoded by gene <i>TBK1</i> present in <i>Homo sapiens.</i> It is found in lungs, small intestine, leukocytes, heart, placenta, muscle, kidney, lower level of thymus, and brain. It has a number of protein-binding sites, to which TBK1 and IKBKE bind and perform different functions as immunomodulatory, antiproliferative, and antiviral innate immunity which release different types of interferons. Our study predicts the comparative model of 3-dimensional (3D) structure through different bioinformatics tools that will be helpful for further studies in future. The reactivity and stability of these proteins were evaluated physicochemically and through domain determination and prediction of secondary structure using bioinformatics methods such as ProtParam, Pfam, and SOPMA, respectively. Robetta, an ab initio approach, I-TASSER, and AlphaFold was used for 3D structure prediction, and the models were validated using the SAVESv6.0 (PROCHECK) server. Conclusively, the best 3D structure of TBK1-binding protein 1 was predicted using Robetta software. After unveiling the 3D structure of the novel protein, we concluded that this structure will help us to find out its role other than in antiviral innate immunity and by producing torsion in its 3D structure researchers will be able to detect either this protein is involved in any disease or not because according to previous studies it was not associated with any disease.</p>","PeriodicalId":9065,"journal":{"name":"Bioinformatics and Biology Insights","volume":null,"pages":null},"PeriodicalIF":2.3000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ftp.ncbi.nlm.nih.gov/pub/pmc/oa_pdf/a2/f9/10.1177_11779322231164828.PMC10074619.pdf","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Bioinformatics and Biology Insights","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1177/11779322231164828","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
引用次数: 2

Abstract

Protein modelling plays a vital role in the drug discovery process. TANK-binding kinase 1-binding protein 1 is also called an adapter protein, which is encoded by gene TBK1 present in Homo sapiens. It is found in lungs, small intestine, leukocytes, heart, placenta, muscle, kidney, lower level of thymus, and brain. It has a number of protein-binding sites, to which TBK1 and IKBKE bind and perform different functions as immunomodulatory, antiproliferative, and antiviral innate immunity which release different types of interferons. Our study predicts the comparative model of 3-dimensional (3D) structure through different bioinformatics tools that will be helpful for further studies in future. The reactivity and stability of these proteins were evaluated physicochemically and through domain determination and prediction of secondary structure using bioinformatics methods such as ProtParam, Pfam, and SOPMA, respectively. Robetta, an ab initio approach, I-TASSER, and AlphaFold was used for 3D structure prediction, and the models were validated using the SAVESv6.0 (PROCHECK) server. Conclusively, the best 3D structure of TBK1-binding protein 1 was predicted using Robetta software. After unveiling the 3D structure of the novel protein, we concluded that this structure will help us to find out its role other than in antiviral innate immunity and by producing torsion in its 3D structure researchers will be able to detect either this protein is involved in any disease or not because according to previous studies it was not associated with any disease.

Abstract Image

Abstract Image

Abstract Image

查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
TANK-Binding Kinase 1- binding Protein 1的比较硅分析与功能表征。
蛋白质建模在药物发现过程中起着至关重要的作用。TANK-binding kinase 1-binding protein 1也被称为适配蛋白(adapter protein),由智人体内存在的TBK1基因编码。见于肺、小肠、白细胞、心脏、胎盘、肌肉、肾脏、胸腺下层和大脑。它有许多蛋白质结合位点,TBK1和IKBKE结合并发挥不同的功能,如免疫调节、抗增殖和抗病毒先天免疫,释放不同类型的干扰素。我们的研究通过不同的生物信息学工具预测了三维(3D)结构的比较模型,这将有助于未来的进一步研究。这些蛋白的反应性和稳定性分别通过ProtParam、Pfam和SOPMA等生物信息学方法进行了物理化学评价,并通过结构域测定和二级结构预测进行了评价。采用Robetta、从头算法、I-TASSER和AlphaFold进行三维结构预测,并使用SAVESv6.0 (PROCHECK)服务器对模型进行验证。最后,利用Robetta软件预测tbk1结合蛋白1的最佳三维结构。在揭示了这种新蛋白的3D结构后,我们得出结论,这种结构将帮助我们找出它在抗病毒先天免疫之外的作用,通过在其3D结构中产生扭转,研究人员将能够检测出这种蛋白质是否与任何疾病有关,因为根据之前的研究,它与任何疾病无关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
Bioinformatics and Biology Insights
Bioinformatics and Biology Insights BIOCHEMICAL RESEARCH METHODS-
CiteScore
6.80
自引率
1.70%
发文量
36
审稿时长
8 weeks
期刊介绍: Bioinformatics and Biology Insights is an open access, peer-reviewed journal that considers articles on bioinformatics methods and their applications which must pertain to biological insights. All papers should be easily amenable to biologists and as such help bridge the gap between theories and applications.
期刊最新文献
Charting Peptide Shared Sequences Between 'Diabetes-Viruses' and Human Pancreatic Proteins, Their Structural and Autoimmune Implications. Approaches for Benchmarking Single-Cell Gene Regulatory Network Methods. Conyza bonariensis (L.) Impact on Carbohydrate Metabolism and Oxidative Stress in a Type 2 Diabetic Rat Model. detectCilia: An R Package for Automated Detection and Length Measurement of Primary Cilia. Commitment Complex Splicing Factors in Cancers of the Gastrointestinal Tract-An In Silico Study.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1