Understanding the Binding of Starch Fragments to Granule-Bound Starch Synthase

直链淀粉 淀粉合成酶 淀粉 化学 生物化学 支链淀粉
作者
Shaobo Zhang,Cheng Li,Robert G. Gilbert,Alpeshkumar K. Malde
出处
期刊:Biomacromolecules [American Chemical Society]
卷期号:22 (11): 4730-4737 被引量:7
标识
DOI:10.1021/acs.biomac.1c01012
摘要

Granule-bound starch synthase (GBSS) plays a major role, that of chain elongation, in the biosynthesis of amylose, a starch component with mostly (1 → 4)-α connected long chains of glucose with a few (1 → 6)-α branch points. Chain-length distributions (CLDs) of amylose affect functional properties, which can be controlled by changing appropriate residues on granule-bound starch synthase (GBSS). Knowing the binding of GBSS and amylose at a molecular level can help better determine the key amino acids on GBSS that affect CLDs of amylose for subsequent use in molecular engineering. Atomistic molecular dynamics simulations with explicit solvent and docking approaches were used in this study to build a model of the binding between rice GBSS and amylose. Amylose fragments containing 3-12 linearly linked glucose units were built to represent the starch fragments. The stability of the complexes, interactions between GBSS and sugars, and difference in structure/conformation of bound and free starch fragments were analyzed. The study found that starch/amylose fragments with 5 or 6 glucose units were suitable for modeling starch binding to GBSS. The removal of an interdomain disulfide on GBSS was found to affect both GBSS and starch stability. Key residues that could affect the binding ability were also indicated. This model can help rationalize the design of mutants and suggest ways to make single-point mutations, which could be used to develop plants producing starches with improved functional properties.
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
an发布了新的文献求助10
刚刚
刚刚
领导范儿应助袅袅采纳,获得10
刚刚
若狂完成签到,获得积分10
刚刚
Gyy完成签到,获得积分10
1秒前
1秒前
1秒前
上官若男应助hu970采纳,获得10
1秒前
2秒前
妮儿发布了新的文献求助10
3秒前
3秒前
Aile。完成签到,获得积分10
3秒前
3秒前
霹雳游侠完成签到,获得积分10
4秒前
hjj发布了新的文献求助10
6秒前
gg完成签到,获得积分10
6秒前
狂野觅云发布了新的文献求助10
6秒前
坚强的广山应助iRan采纳,获得200
6秒前
6秒前
余姚发布了新的文献求助10
6秒前
6秒前
6秒前
哈哈发布了新的文献求助10
6秒前
洛尚发布了新的文献求助10
7秒前
ccc发布了新的文献求助10
7秒前
7秒前
潦草发布了新的文献求助10
8秒前
fighting完成签到,获得积分10
8秒前
8秒前
源源源完成签到 ,获得积分10
9秒前
HEIKU应助鲤鱼凛采纳,获得10
9秒前
luca完成签到,获得积分10
9秒前
9秒前
handsomecat完成签到,获得积分10
9秒前
10秒前
神勇的雅香应助gms采纳,获得10
10秒前
眯眯眼的衬衫应助cleva采纳,获得10
10秒前
激动的一手完成签到,获得积分10
10秒前
怕黑的海豚关注了科研通微信公众号
10秒前
艺玲发布了新的文献求助10
11秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Social media impact on athlete mental health: #RealityCheck 1020
Ensartinib (Ensacove) for Non-Small Cell Lung Cancer 1000
Unseen Mendieta: The Unpublished Works of Ana Mendieta 1000
Bacterial collagenases and their clinical applications 800
El viaje de una vida: Memorias de María Lecea 800
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3527699
求助须知:如何正确求助?哪些是违规求助? 3107752
关于积分的说明 9286499
捐赠科研通 2805513
什么是DOI,文献DOI怎么找? 1539954
邀请新用户注册赠送积分活动 716878
科研通“疑难数据库(出版商)”最低求助积分说明 709759