Sequence-structure based phylogeny of GPCR Class A Rhodopsin receptors

生物 G蛋白偶联受体 视紫红质 受体 甘丙肽 生物化学 系统发育学 系统发育树 神经肽Y受体 神经肽 基因 视网膜
作者
Kavita Kumari Kakarala,Kaiser Jamil
出处
期刊:Molecular Phylogenetics and Evolution [Elsevier BV]
卷期号:74: 66-96 被引量:80
标识
DOI:10.1016/j.ympev.2014.01.022
摘要

Current methods of G protein coupled receptors (GPCRs) phylogenetic classification are sequence based and therefore inappropriate for highly divergent sequences, sharing low sequence identity. In this study, sequence structure profile based alignment generated by PROMALS3D was used to understand the GPCR Class A Rhodopsin superfamily evolution using the MEGA 5 software. Phylogenetic analysis included a combination of Neighbor-Joining method and Maximum Likelihood method, with 1000 bootstrap replicates. Our study was able to identify potential ligand association for Class A Orphans and putative/unclassified Class A receptors with no cognate ligand information: GPR21 and GPR52 with fatty acids; GPR75 with Neuropeptide Y; GPR82, GPR18, GPR141 with N-arachidonylglycine; GPR176 with Free fatty acids, GPR10 with Tachykinin & Neuropeptide Y; GPR85 with ATP, ADP & UDP glucose; GPR151 with Galanin; GPR153 and GPR162 with Adrenalin, Noradrenalin; GPR146, GPR139, GPR142 with Neuromedin, Ghrelin, Neuromedin U-25 & Thyrotropin-releasing hormone; GPR171 with ATP, ADP & UDP Glucose; GPR88, GPR135, GPR161, GPR101with 11-cis-retinal; GPR83 with Tackykinin; GPR148 with Prostanoids, GPR109b, GPR81, GPR31with ATP & UTP and GPR150 with GnRH I & GnRHII. Furthermore, we suggest that this study would prove useful in re-classification of receptors, selecting templates for homology modeling and identifying ligands which may show cross reactivity with other GPCRs as signaling via multiple ligands play a significant role in disease modulation.
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
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
刚刚
刚刚
刚刚
刚刚
刚刚
JamesPei应助儒雅雅山采纳,获得10
1秒前
1秒前
痘痘超人完成签到,获得积分10
1秒前
科研通AI6.4应助sahjdkah采纳,获得10
2秒前
3秒前
李长生发布了新的文献求助10
3秒前
3秒前
Owen应助开朗天菱采纳,获得10
3秒前
3秒前
我可不想找不到完成签到,获得积分20
4秒前
4秒前
阳子完成签到,获得积分10
4秒前
ZZH完成签到,获得积分10
5秒前
www发布了新的文献求助10
5秒前
高手发布了新的文献求助10
5秒前
5秒前
Nuonuo完成签到,获得积分10
5秒前
5秒前
6秒前
sansui发布了新的文献求助10
6秒前
6秒前
7秒前
随风发布了新的文献求助10
7秒前
希望天下0贩的0应助rxw采纳,获得10
7秒前
7秒前
hr完成签到 ,获得积分10
7秒前
可爱的函函应助立尽西风采纳,获得10
7秒前
8秒前
super完成签到,获得积分10
8秒前
科研通AI6.2应助ultrareality采纳,获得10
8秒前
9秒前
科研通AI6.4应助lily2025采纳,获得10
10秒前
10秒前
x甜豆发布了新的文献求助10
10秒前
苻尔曼完成签到,获得积分10
10秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Arthritis and Related Conditions, An Issue of Orthopedic Clinics 1000
Development of a Bridge Weigh-In-Motion System: A technology to convert the bridge response to the passage of traffic into data on vehicle configurations, speeds, times of travel and weights 1000
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7286823
求助须知:如何正确求助?哪些是违规求助? 8906982
关于积分的说明 18849319
捐赠科研通 6955960
什么是DOI,文献DOI怎么找? 3208441
关于科研通互助平台的介绍 2378440
邀请新用户注册赠送积分活动 2184137