Modeling the Structure of Yeast MAT<i>α</i>1: An HMG-Box Motif with a C-Terminal Helical Extension

酿酒酵母 生物 对接(动物) 分子模型 序列比对 酵母 计算生物学 HMG盒 生物化学 DNA 肽序列 氨基酸 蛋白质结构 结构母题 蛋白质-蛋白质相互作用 多序列比对 基因 遗传学 转录因子 DNA结合蛋白 护理部 医学
作者
Doba Jackson,Tarnisha Lawson,Robert Villafane,Lisa Gary
出处
期刊:Open Journal of Biophysics [Scientific Research Publishing, Inc.]
被引量:6
标识
DOI:10.4236/ojbiphy.2013.31001
摘要

The yeast MATα1 is required for the activation of α-specific genes in Saccharomyces cerevisiae and thus confers the α-cell identity of the yeast. MATα1 contains a domain called the α-domain which has significant sequence identity to the HMG-box family of proteins. A multiple sequence alignment of several α-domains and various structurally determined HMG-box domains has revealed that both domains possess very similar structural and functional residues. We found that the basic amino acids of the N-terminal loop, the intercalating hydrophobic residues of the first helix, and the hydrophobic residues required for interactions within the core of the protein are remarkably conserved in α-domains and HMG-box proteins. Our generated molecular models suggest that the first and third helix will be shorter and that the HMG-box core is not an isolated domain. The region beyond the conserved HMG-box motif contains an extended helical region for about 20 - 30 amino acids. Structural models generated by comparative modeling and ab initio modeling reveal that this region will add two or more additional α-helices and will make significant contacts to helix III, II and I of the HMG-box core. We were able to illustrate how the extended α-domain would bind to DNA by merging of the α-domain and the LEF-1/DNA complex. The models we are reporting will be helpful in understanding how MATα1 binds to DNA with its partner MCM1 and activates transcription of α-specific genes. These models will also aid in future biophysical studies of MATα1 including the crystallization and structure determination.

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
1秒前
ferrywheel发布了新的文献求助10
1秒前
小树完成签到 ,获得积分10
1秒前
香蕉觅云应助Yivano采纳,获得20
2秒前
immortel发布了新的文献求助30
2秒前
3秒前
蛋卷发布了新的文献求助10
5秒前
Ryan完成签到,获得积分20
6秒前
7秒前
8秒前
8秒前
领导范儿应助狂野淇采纳,获得10
9秒前
9秒前
RuiBigHead发布了新的文献求助10
10秒前
RuiBigHead发布了新的文献求助10
10秒前
11秒前
11秒前
FashionBoy应助阿方采纳,获得10
11秒前
RuiBigHead发布了新的文献求助10
12秒前
12秒前
12秒前
RuiBigHead发布了新的文献求助10
12秒前
RuiBigHead发布了新的文献求助10
13秒前
RuiBigHead发布了新的文献求助10
13秒前
RuiBigHead发布了新的文献求助10
14秒前
RuiBigHead发布了新的文献求助10
14秒前
RuiBigHead发布了新的文献求助10
14秒前
RuiBigHead发布了新的文献求助10
14秒前
石梓硕发布了新的文献求助10
14秒前
immortel完成签到,获得积分10
15秒前
RuiBigHead发布了新的文献求助10
17秒前
搜集达人应助伍寒烟采纳,获得10
18秒前
阳阳完成签到,获得积分10
18秒前
2052669099发布了新的文献求助20
18秒前
ferrywheel完成签到,获得积分10
20秒前
AKRAMJUAIM完成签到,获得积分10
20秒前
21秒前
24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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Picture this! Including first nations fiction picture books in school library collections 1000
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
信任代码:AI 时代的传播重构 450
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6357689
求助须知:如何正确求助?哪些是违规求助? 8172194
关于积分的说明 17207436
捐赠科研通 5413217
什么是DOI,文献DOI怎么找? 2864954
邀请新用户注册赠送积分活动 1842489
关于科研通互助平台的介绍 1690566