Aptasensor designed via the stochastic tunneling-basin hopping method for biosensing of vascular endothelial growth factor

指数富集配体系统进化 适体 血管内皮生长因子 化学 分子动力学 血管内皮生长因子受体 热稳定性 生物物理学 纳米技术 材料科学 结晶学 计算化学 生物 生物化学 核糖核酸 分子生物学 基因 有机化学 癌症研究
作者
Hung‐Wei Yang,Shin‐Pon Ju,Che-Hao Cheng,Ying‐Tzu Chen,Yu‐Sheng Lin,See‐Tong Pang
出处
期刊:Biosensors and Bioelectronics [Elsevier BV]
卷期号:119: 25-33 被引量:14
标识
DOI:10.1016/j.bios.2018.07.073
摘要

The Systematic Evolution Ligands by Exponential Enrichment (SELEX) is common used for selection of high affinity single-stranded DNA (ssDNA) aptamer with target protein. However, we do not know what the most stable configuration of the selected aptamer bound with target protein is. Therefore, a systematic search process using the stochastic tunneling-basin hopping (STUN-BH) method is proposed to find the most stable configuration of the ssDNA aptamer specific for vascular endothelial growth factor (VEGF) capture (AptVEGF; 5'-TGTGGGGGTGGACGGGCCGGGTAGA-3'). After the most stable configuration was obtained by the STUN-BH method, molecular dynamics (MD) simulation was carried out to investigate the thermal stability of AptVEGF/VEGF at 300 K in both vacuum and water. All molecular simulations were conducted with the large-scale atomic/molecular massively parallel simulator (LAMMPS), and the AMBER99SB force field was used to describe the atomic interactions for the current AptVEGF/VEGF system. The three most stable AptVEGF/VEGF configurations obtained by the STUN-BH method indicated that AptVEGF residues exhibit greater affinity for VEGF surface loop fragments as compared with surface alpha helix and beta sheet fragments. Results indicated that after the first AptVEGF (AptVEGF I) occupies most of the VEGF loop fragment, the second AptVEGF (AptVEGF II) is adsorbed by the rest of the VEGF loop fragment and the VEGF Chain B beta sheet fragment, resulting in a 24.8% reduction in binding strength as compared to that of AptVEGF I. Furthermore, when AptVEGF I and AptVEGF II chains were stably adsorbed by VEGF, the third AptVEGF (AptVEGF III) chain can only partially attach to VEGF, as confirmed by real AptVEGF-VEGF binding experiments. Lastly, we demonstrated that the aptasensor constructed according to MD simulation is highly sensitive for VEGF with a linear detection range of 10 pg/mL-10 ng/mL.

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
1234发布了新的文献求助10
刚刚
闪闪凝冬完成签到,获得积分10
2秒前
JayL完成签到,获得积分10
2秒前
但行好事发布了新的文献求助10
3秒前
科研通AI6.3应助张慢慢采纳,获得10
4秒前
小巧十三完成签到,获得积分10
4秒前
科研通AI6.1应助xszhang采纳,获得10
4秒前
小瑞发布了新的文献求助10
4秒前
5秒前
狡猾的DNA完成签到,获得积分10
6秒前
9秒前
10秒前
11秒前
11秒前
11秒前
hhh完成签到 ,获得积分10
11秒前
研友_Z7mqzL完成签到,获得积分10
12秒前
wxx完成签到,获得积分10
12秒前
SciGPT应助感动惜珊采纳,获得10
12秒前
13秒前
Li梨完成签到,获得积分10
13秒前
14秒前
以沫发布了新的文献求助10
14秒前
14秒前
xu完成签到,获得积分10
15秒前
15秒前
16秒前
17秒前
kkkkkboat完成签到,获得积分10
17秒前
树枝发布了新的文献求助10
17秒前
gaozx123发布了新的文献求助10
18秒前
yukang完成签到,获得积分10
18秒前
yuncong323发布了新的文献求助10
18秒前
caoxiwei发布了新的文献求助10
18秒前
moyongzhen发布了新的文献求助20
18秒前
Owen应助小飞123采纳,获得10
19秒前
赘婿应助牧青采纳,获得10
19秒前
深情安青应助xszhang采纳,获得10
19秒前
21秒前
贝贝发布了新的文献求助10
21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 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Photodetectors: From Ultraviolet to Infrared 500
Cancer Targets: Novel Therapies and Emerging Research Directions (Part 1) 400
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 6359264
求助须知:如何正确求助?哪些是违规求助? 8173237
关于积分的说明 17213576
捐赠科研通 5414355
什么是DOI,文献DOI怎么找? 2865433
邀请新用户注册赠送积分活动 1842799
关于科研通互助平台的介绍 1690962