已入深夜,您辛苦了!由于当前在线用户较少,发布求助请尽量完整的填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!祝你早点完成任务,早点休息,好梦!

Interactions of Polydopamine Nanoparticles with Serine and Cysteine Proteases: Implications for Enhancing Protein Stabilization and Enzyme Activity

蛋白酵素 丝氨酸 半胱氨酸 化学 生物化学 纳米颗粒 纳米技术 材料科学
作者
Deepak Chahar,Bindu Yadav,Pannuru Venkatesu
出处
期刊:ACS applied nano materials [American Chemical Society]
卷期号:7 (22): 26202-26214 被引量:1
标识
DOI:10.1021/acsanm.4c05783
摘要

The interactions between polydopamine nanoparticles (PDA NPs) with serine protease α-chymotrypsin (α-CT) and cysteine protease stem bromelain (SB) have prompted significant emphasis due to their potential implications in biocatalysis and therapeutic applications. This study addresses the structural integrity, binding kinetics, and catalytic potential of α-CT and SB in the presence of PDA NPs by employing a combination of spectroscopic techniques and thermodynamic and kinetic analyses. The spectroscopic results reveal that PDA NPs bind to both enzymes (α-CT and SB) to create a stable complex without disrupting their active sites. Furthermore, fluorescence, circular dichroism (CD), and dynamic light scattering (DLS) analysis clearly demonstrate that the binding between α-CT and PDA NPs is strong compared to SB + PDA NPs. The thermodynamic data implies that PDA NPs significantly enhance the thermal stability of both α-CT and SB, as evidenced by the increased thermal transition temperature (Tm) by 2.68 ± 0.50 °C in α-CT and 3.35 ± 0.50 °C in SB. Interestingly, ζ-potential and microscopic results such as TEM and FESEM pointed toward the adsorption of both proteases over the surface of PDA NPs. Additionally, spectrophotometric assay and kinetic studies confirm the retention of enzyme activity of both proteases upon conjugation with PDA NPs. Further, kinetic (Vmax, Km) and thermodynamic (ΔGu, ΔHm, ΔSm, ΔCp) parameters also concluded the formation of a stable enzyme–NP complex. This study conveys the potential of PDA NPs in developing advanced enzyme–NPs integrated for enhancing protein stability and activity in diverse biomedical and industrial applications.
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
2秒前
lll发布了新的文献求助10
2秒前
小马日常挨打完成签到 ,获得积分10
3秒前
大模型应助白华苍松采纳,获得10
4秒前
hehereal发布了新的文献求助10
6秒前
7秒前
10秒前
麦满分完成签到,获得积分10
10秒前
欣慰小丸子应助更深的蓝采纳,获得20
13秒前
FashionBoy应助hehereal采纳,获得10
16秒前
17秒前
17秒前
18秒前
yyxx发布了新的文献求助10
22秒前
MchemG应助keyan123采纳,获得10
22秒前
惊奇先生1发布了新的文献求助10
23秒前
24秒前
25秒前
天天快乐应助南鱼A采纳,获得10
25秒前
xiaoyu完成签到 ,获得积分10
25秒前
26秒前
xiaolan发布了新的文献求助10
27秒前
逐梦完成签到,获得积分20
28秒前
28秒前
爆米花应助Ryan采纳,获得30
29秒前
SYLH应助yyxx采纳,获得10
30秒前
逐梦发布了新的文献求助10
31秒前
王清水完成签到 ,获得积分10
32秒前
32秒前
李健的小迷弟应助温水云采纳,获得10
32秒前
32秒前
科研通AI5应助max采纳,获得10
33秒前
华仔应助xuan采纳,获得30
33秒前
科研通AI5应助barry采纳,获得10
35秒前
36秒前
36秒前
完美世界应助JQB采纳,获得10
37秒前
MchemG应助keyan123采纳,获得10
38秒前
39秒前
40秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
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 3555423
求助须知:如何正确求助?哪些是违规求助? 3131069
关于积分的说明 9389939
捐赠科研通 2830532
什么是DOI,文献DOI怎么找? 1556087
邀请新用户注册赠送积分活动 726445
科研通“疑难数据库(出版商)”最低求助积分说明 715750