Electronic Properties of the Amino Acid Side Chains Contribute to the Structural Preferences in Protein Folding

氨基酸 侧链 化学 折叠(DSP实现) 取代基 电子效应 背景(考古学) 蛋白质折叠 立体化学 结晶学 位阻效应 生物化学 生物 有机化学 工程类 古生物学 电气工程 聚合物
作者
Donard S. Dwyer
出处
期刊:Journal of Biomolecular Structure & Dynamics [Informa]
卷期号:18 (6): 881-892 被引量:25
标识
DOI:10.1080/07391102.2001.10506715
摘要

A database of 118 non-redundant proteins was examined to determine the preferences of amino acids for secondary structures: alpha-helix, beta-strand and coil conformations. To better understand how the physicochemical properties of amino acid side chains might influence protein folding, several new scales have been suggested for quantifying the electronic effects of amino acids. These include the pKa at the amino group, localized effect substituent constants (esigma), and a composite of these two scales (epsilon). Amino acids were also classified into 5 categories on the basis of their electronic properties: O (strong electron donor), U (weak donor), Z (ambivalent), B (weak electron acceptor), and X (strong acceptor). Certain categories of amino acid appeared to be critical for particular conformations, e.g., O and U-type residues for alpha-helix formation. Pairwise analysis of the database according to these categories revealed significant context effects in the structural preferences. In general, the propensity of an amino acid for a particular conformation was related to the electronic features of the side chain. Linear regression analyses revealed that the electronic properties of amino acids contributed about as much to the folding preferences as hydrophobicity, which is a well-established determinant of protein folding. A theoretical model has been proposed to explain how the electronic properties of the side chain groups might influence folding along the peptide backbone.

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
刚刚
gyh应助奇怪的光采纳,获得10
刚刚
Mjl完成签到,获得积分10
1秒前
liutaili发布了新的文献求助10
1秒前
华仔应助lhlgood采纳,获得10
2秒前
地球发布了新的文献求助10
3秒前
小灰灰丫a完成签到,获得积分10
3秒前
愉快的钢铁侠完成签到,获得积分10
4秒前
火星天发布了新的文献求助10
4秒前
4秒前
4秒前
年轻青文发布了新的文献求助50
5秒前
北极星发布了新的文献求助10
5秒前
共享精神应助vanliu采纳,获得10
6秒前
BulingBuling发布了新的文献求助10
6秒前
DAII完成签到 ,获得积分10
7秒前
小小书童发布了新的文献求助10
7秒前
7秒前
7秒前
8秒前
Orange应助K2采纳,获得10
9秒前
跳跃西装发布了新的文献求助20
9秒前
Lio发布了新的文献求助10
12秒前
12秒前
13秒前
甜晞完成签到,获得积分10
13秒前
13秒前
sugkook发布了新的文献求助10
14秒前
K2完成签到,获得积分10
14秒前
15秒前
15秒前
15秒前
Akim应助火星天采纳,获得10
15秒前
16秒前
请风来守完成签到,获得积分10
16秒前
Akim应助地球采纳,获得10
17秒前
stark完成签到,获得积分10
17秒前
18秒前
19秒前
feiyu完成签到,获得积分10
19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
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 2000
Digital Twins of Advanced Materials Processing 2000
Social Cognition: Understanding People and Events 1200
Polymorphism and polytypism in crystals 1000
Signals, Systems, and Signal Processing 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6036670
求助须知:如何正确求助?哪些是违规求助? 7755903
关于积分的说明 16215578
捐赠科研通 5182774
什么是DOI,文献DOI怎么找? 2773650
邀请新用户注册赠送积分活动 1756912
关于科研通互助平台的介绍 1641276