亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

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

生物信息学 计算生物学 蛋白质结构预测 先天免疫系统 生物 信号转导衔接蛋白 坦克结合激酶1 生物信息学 蛋白质结构 线程(蛋白质序列) UniProt公司 蛋白激酶A 激酶 遗传学 基因 生物化学 免疫系统 丝裂原活化蛋白激酶激酶
作者
Humaira Aziz Sawal,Shagufta Nighat,Tanzeela Safdar,Laiba Anees
出处
期刊:Bioinformatics and Biology Insights [SAGE]
卷期号:17: 117793222311648-117793222311648 被引量:4
标识
DOI:10.1177/11779322231164828
摘要

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.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
科研通AI2S应助科研通管家采纳,获得10
1秒前
Persistence发布了新的文献求助10
3秒前
酷波er应助maoy采纳,获得10
16秒前
19秒前
袁雪蓓完成签到 ,获得积分10
20秒前
现代海发布了新的文献求助10
25秒前
okkk完成签到,获得积分10
26秒前
30秒前
现代海完成签到,获得积分10
34秒前
norberta发布了新的文献求助10
36秒前
37秒前
俞慕儿完成签到 ,获得积分10
52秒前
56秒前
maoy发布了新的文献求助10
1分钟前
liuweiwei完成签到 ,获得积分10
1分钟前
酥饼完成签到,获得积分10
1分钟前
1分钟前
1分钟前
ziguangrong发布了新的文献求助10
1分钟前
13504544355完成签到 ,获得积分10
1分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
斯文败类应助科研通管家采纳,获得20
2分钟前
科研通AI2S应助科研通管家采纳,获得10
2分钟前
2分钟前
lllxxxx完成签到,获得积分10
2分钟前
小胡爱科研完成签到 ,获得积分10
2分钟前
FashionBoy应助maoy采纳,获得10
2分钟前
2分钟前
2分钟前
ziguangrong完成签到,获得积分20
2分钟前
pojian完成签到,获得积分10
2分钟前
华凯完成签到,获得积分10
2分钟前
3分钟前
科目三应助zhuhan采纳,获得10
3分钟前
3分钟前
3分钟前
zhuhan发布了新的文献求助10
3分钟前
maoy关注了科研通微信公众号
3分钟前
3分钟前
maoy发布了新的文献求助10
3分钟前
高分求助中
Licensing Deals in Pharmaceuticals 2019-2024 3000
Cognitive Paradigms in Knowledge Organisation 2000
Introduction to Spectroscopic Ellipsometry of Thin Film Materials Instrumentation, Data Analysis, and Applications 1800
Natural History of Mantodea 螳螂的自然史 1000
A Photographic Guide to Mantis of China 常见螳螂野外识别手册 800
How Maoism Was Made: Reconstructing China, 1949-1965 800
Barge Mooring (Oilfield Seamanship Series Volume 6) 600
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 催化作用 物理化学 免疫学 量子力学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 3314391
求助须知:如何正确求助?哪些是违规求助? 2946633
关于积分的说明 8531115
捐赠科研通 2622350
什么是DOI,文献DOI怎么找? 1434483
科研通“疑难数据库(出版商)”最低求助积分说明 665329
邀请新用户注册赠送积分活动 650855