Systematic construction of progressively larger capsules from a fivefold linking pyrrole-based subcomponent

纳米笼 位阻效应 合理设计 二面角 结晶学 化学 材料科学 纳米技术 立体化学 分子 氢键 生物化学 有机化学 催化作用
作者
Kai Wu,Tanya K. Ronson,Pingru Su,Zhi Chen,Leonard Goh,Andrew W. Heard,Xiaopeng Li,Fabian Klautzsch,Christoph A. Schalley,M. Vinković,Jonathan R. Nitschke
出处
期刊:Nature Synthesis [Nature Portfolio]
卷期号:2 (8): 789-797 被引量:59
标识
DOI:10.1038/s44160-023-00276-9
摘要

Biological encapsulants, such as viral capsids and ferritin protein cages, use many identical subunits to tile the surface of a polyhedron. Inspired by these natural systems, synthetic chemists have prepared artificial nanocages with well-defined shapes and cavities. Rational control over the self-assembly of discrete, nanometre-scale, hollow coordination cages composed of simple components remains challenging as a result of the entropic costs associated with binding many subunits together, difficulties in the error-correction processes associated with assembly and increasing surface energy as their size grows. Here we demonstrate the construction of nanocages of increasing size derived from a single pentatopic pyrrole-based subcomponent. Reasoned shifts in the preferred coordination number of the metal ions used, along with the denticity and steric hindrance of the ligands, enabled the generation of progressively larger cages. These structural changes of the cages are reminiscent of the differences in the folding of proteins caused by minor variations in their amino acid sequences; understanding how they affect capsule structure and thus cavity size may help to elucidate the construction principles for larger and functional capsules, capable of binding and carrying large biomolecules as cargoes. Controlling the self-assembly of large coordination cages is challenging owing to entropic costs and difficulties in error correction. Now an array of large cages prepared by the rational design of alterations that allow for the tuning of the dihedral angle between pentagonal subunits is reported.
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
nlcoisini发布了新的文献求助10
刚刚
1秒前
1秒前
1秒前
Carl发布了新的文献求助10
1秒前
1秒前
Li完成签到,获得积分10
2秒前
2秒前
2秒前
林梓峰发布了新的文献求助30
3秒前
3秒前
molihuakai应助plaaf采纳,获得10
3秒前
3秒前
4秒前
4秒前
4秒前
勤奋苑睐发布了新的文献求助10
4秒前
mmmxuuuuan完成签到,获得积分10
5秒前
maguodrgon发布了新的文献求助10
5秒前
犹豫的夜南完成签到,获得积分10
6秒前
7秒前
嗯嗯发布了新的文献求助10
7秒前
wei关闭了wei文献求助
7秒前
7秒前
lltt完成签到,获得积分10
7秒前
8秒前
8秒前
cy完成签到 ,获得积分20
8秒前
小宋驳回了跳跃应助
8秒前
搜集达人应助冯心雨采纳,获得10
9秒前
研友_841e4L完成签到,获得积分10
9秒前
111111发布了新的文献求助10
10秒前
10秒前
dde应助小宇采纳,获得20
10秒前
巴山夜雨发布了新的文献求助10
10秒前
jja881完成签到,获得积分10
11秒前
11秒前
11秒前
开心的访卉应助蓝天采纳,获得30
12秒前
wisdom发布了新的文献求助10
12秒前
高分求助中
Markov Chain Monte Carlo 10000
(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
Common Foundations of American and East Asian Modernisation: From Alexander Hamilton to Junichero Koizumi 2000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7517056
求助须知:如何正确求助?哪些是违规求助? 9105017
关于积分的说明 19437263
捐赠科研通 7122130
什么是DOI,文献DOI怎么找? 3253935
关于科研通互助平台的介绍 2422624
邀请新用户注册赠送积分活动 2240840