Analysis of membrane and surface protein sequences with the hydrophobic moment plot

跨膜蛋白 化学 跨膜结构域 螺旋(腹足类) 膜蛋白 结晶学 疏水效应 生物物理学 生物化学 生物 生态学 受体 蜗牛
作者
David Eisenberg,Erich M. Schwarz,M C Komaromy,Randolph Wall
出处
期刊:Journal of Molecular Biology [Elsevier BV]
卷期号:179 (1): 125-142 被引量:2314
标识
DOI:10.1016/0022-2836(84)90309-7
摘要

An algorithm has been developed which identifies α-helices involved in the interactions of membrane proteins with lipid bilayers and which distinguishes them from helices in soluble proteins. The membrane-associated helices are then classified with the aid of the hydrophobic moment plot, on which the hydrophobic moment of each helix is plotted as a function of its hydrophobicity. The magnitude of hydrophobic moment measures the amphiphilicity of the helix (and hence its tendency to seek a surface between hydrophobic and hydrophilic phases), and the hydrophobicity measures its affinity for the membrane interior. Segments of membrane proteins in α-helices tend to fall in one of three regions of a hydrophobic moment plot: (1) monomeric transmembrane anchors (class I HLA transmembrane sequences) lie in the region of highest hydrophobicity and smallest hydrophobic moment; (2) helices presumed to be paired (such as the transmembrane M segments of surface immunoglobulins) and helices which are bundled together in membranes (such as bacteriorhodopsin) fall in the adjacent region with higher hydrophobic moment and smaller hydrophobicity; and (3) helices from surface-seeking proteins (such as melittin) fall in the region with still higher hydrophobic moment. α-Helices from globular proteins mainly fall in a region of lower mean hydrophobicity and hydrophobic moment. Application of these methods to the sequence of diphtheria toxin suggests four transmembrane helices and a surface-seeking helix in fragment B, the moiety known to have transmembrane function.
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
异念卿发布了新的文献求助20
刚刚
Nicole发布了新的文献求助10
刚刚
刚刚
刚刚
XY发布了新的文献求助10
刚刚
UGO发布了新的文献求助10
刚刚
刚刚
1秒前
1秒前
十二应助雨之夏日采纳,获得10
1秒前
华仔应助慈祥的丹寒采纳,获得10
1秒前
Ccccchong发布了新的文献求助10
2秒前
2秒前
今后应助0426采纳,获得10
3秒前
研友_VZG7GZ应助yiguaer采纳,获得10
3秒前
方莉发布了新的文献求助10
3秒前
尹亚完成签到,获得积分10
4秒前
Shirky发布了新的文献求助20
4秒前
4秒前
明亮凡梦完成签到,获得积分10
5秒前
Liu发布了新的文献求助10
5秒前
HarryChan发布了新的文献求助10
5秒前
桐桐应助sunhealth采纳,获得10
6秒前
nako7575发布了新的文献求助30
6秒前
6秒前
6秒前
信keep发布了新的文献求助10
6秒前
sghsh发布了新的文献求助10
7秒前
lll发布了新的文献求助10
7秒前
7秒前
XY完成签到,获得积分10
7秒前
FashionBoy应助CaseyMelkus采纳,获得10
8秒前
8秒前
汉堡包应助无条件采纳,获得10
8秒前
8秒前
9秒前
大魏王司徒完成签到,获得积分10
9秒前
9秒前
科研发布了新的文献求助30
9秒前
高分求助中
(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
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Rosenblum, Global Change Biology 500
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
DIPPR Project 801 - Full Version 380
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7767525
求助须知:如何正确求助?哪些是违规求助? 9311083
关于积分的说明 20321775
捐赠科研通 7352505
什么是DOI,文献DOI怎么找? 3315412
关于科研通互助平台的介绍 2464693
邀请新用户注册赠送积分活动 2330053