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
小木子发布了新的文献求助10
1秒前
凌慕发布了新的文献求助20
1秒前
领导范儿的应助被洁净笑白采纳,获得10
2秒前
wenlongliu完成签到,获得积分10
3秒前
隐形曼青的应助被riverrolls采纳,获得10
3秒前
张匀继完成签到 ,获得积分10
5秒前
太叔开山发布了新的文献求助10
7秒前
JamesPei的应助被梅里古镇采纳,获得10
7秒前
DW的应助被CEN采纳,获得10
9秒前
10秒前
11秒前
秋风的应助被mft1989mft采纳,获得10
11秒前
Luckyz发布了新的文献求助10
15秒前
秋风的应助被春风采纳,获得10
16秒前
Akim的应助被太叔开山采纳,获得10
17秒前
18秒前
18秒前
斯文败类的应助被于佳采纳,获得10
19秒前
bkagyin的应助被liulian采纳,获得10
19秒前
史克珍香完成签到 ,获得积分10
22秒前
郑大大yx完成签到,获得积分10
23秒前
科研通AI6.4的应助被master采纳,获得10
23秒前
梅里古镇发布了新的文献求助10
24秒前
lh完成签到 ,获得积分10
25秒前
wyt发布了新的文献求助10
25秒前
26秒前
27秒前
2023115023完成签到 ,获得积分20
27秒前
所所的应助被Hu111采纳,获得10
30秒前
31秒前
31秒前
31秒前
郑大大yx发布了新的文献求助30
31秒前
慕青的应助被求文献的好采纳,获得10
32秒前
chen发布了新的文献求助10
33秒前
TYLZ的应助被长夜变清早采纳,获得10
36秒前
liulian发布了新的文献求助10
36秒前
1281440966发布了新的文献求助10
36秒前
研友_ndvWy8给研友_ndvWy8的求助进行了留言
39秒前
40秒前
高分求助中
(应助此贴封号)通过应助OA文献获取积分 10000
The Student's Guide to Social Neuroscience 800
Rosenblum, Global Change Biology 800
Computational Chemical Reaction Engineering: Modeling, Simulation, and Design with MATLAB 600
Photoredox-Catalyzed Alkoxy-fluorosulfonylmethyl Difunctionalization of Alkenes 550
Organizational Behavior 510
Management and the Arts 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 计算机科学 工程类 纳米技术 内科学 物理 有机化学 化学工程 生物化学 复合材料 光电子学 细胞生物学 心理学 量子力学 催化作用 物理化学 电极
热门帖子
关注 科研通微信公众号,转发送积分 7811479
求助须知:如何正确求助?哪些是违规求助? 9342838
关于积分的说明 20515399
捐赠科研通 7404349
什么是DOI,文献DOI怎么找? 3329712
关于科研通互助平台的介绍 2476450
邀请新用户注册赠送积分活动 2349059