Design of AsLOV2 domain as a carrier of light‐induced dissociable FMN photosensitizer

光敏剂 化学 黄素单核苷酸 黄素组 单线态氧 辅因子 离解(化学) 生物物理学 生物化学 光化学 氧气 生物 有机化学 物理化学
作者
Kristína Felčíková,Andrej Hovan,Marek Polák,Dmitry S. Loginov,Veronika Holotová,Carlos Dı́az,Tibor Kožár,One Sun Lee,Rastislav Varhač,Petr Novák,Gregor Bánó,Erik Sedlák
出处
期刊:Protein Science [Wiley]
卷期号:33 (4)
标识
DOI:10.1002/pro.4921
摘要

Flavin mononucleotide (FMN) is a highly efficient photosensitizer (PS) yielding singlet oxygen (1 O2 ). However, its 1 O2 production efficiency significantly decreases upon isoalloxazine ring encapsulation into the protein matrix in genetically encoded photosensitizers (GEPS). Reducing isoalloxazine ring interactions with surrounding amino acids by protein engineering may increase 1 O2 production efficiency GEPS, but at the same time weakened native FMN-protein interactions may cause undesirable FMN dissociation. Here, in contrast, we intentionally induce the FMN release by light-triggered sulfur oxidation of strategically placed cysteines (oxidation-prone amino acids) in the isoalloxazine-binding site due to significantly increased volume of the cysteinyl side residue(s). As a proof of concept, in three variants of the LOV2 domain of Avena sativa (AsLOV2), namely V416C, T418C, and V416C/T418C, the effective 1 O2 production strongly correlated with the efficiency of irradiation-induced FMN dissociation (wild type (WT) < V416C < T418C < V416C/T418C). This alternative approach enables us: (i) to overcome the low 1 O2 production efficiency of flavin-based GEPSs without affecting native isoalloxazine ring-protein interactions and (ii) to utilize AsLOV2, due to its inherent binding propensity to FMN, as a PS vehicle, which is released at a target by light irradiation.

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
1秒前
1秒前
Xinyi完成签到,获得积分10
3秒前
认真的思枫完成签到,获得积分10
3秒前
4秒前
Daphne发布了新的文献求助10
5秒前
7秒前
ytc完成签到,获得积分10
8秒前
9秒前
林峰发布了新的文献求助10
10秒前
科研通AI6.1应助研友_ZGRzGn采纳,获得30
13秒前
乐乐应助yunshan采纳,获得10
15秒前
16秒前
星光下的赶路人完成签到,获得积分10
16秒前
18秒前
慕青应助flyta采纳,获得10
19秒前
科研通AI6.1应助ppp采纳,获得10
20秒前
21秒前
22秒前
22秒前
22秒前
迷人的语芹完成签到,获得积分10
23秒前
科研通AI6.4应助charles采纳,获得10
23秒前
Cyber_relic完成签到,获得积分10
24秒前
silan发布了新的文献求助10
24秒前
Daphne完成签到,获得积分20
25秒前
25秒前
25秒前
26秒前
26秒前
苹果文博发布了新的文献求助10
27秒前
科目三应助迷你的蓝采纳,获得10
27秒前
27秒前
28秒前
28秒前
28秒前
卡卡不卡应助鲁万仇采纳,获得10
29秒前
29秒前
29秒前
29秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 1200
Signals, Systems, and Signal Processing 610
Software that combines deep learning,3D reconstruction and CFD to analyze the state of carotid arteries from ultrasound imaging 500
Bounds for Statistical Estimation in Semiparametric Models 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
Ideology and Meaning-Making under the Putin Regime 450
Adhesion Science: Principles & Practice 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 6491605
求助须知:如何正确求助?哪些是违规求助? 8289495
关于积分的说明 17688448
捐赠科研通 5582877
什么是DOI,文献DOI怎么找? 2915084
邀请新用户注册赠送积分活动 1892206
关于科研通互助平台的介绍 1750000