An efficient algorithm for searching low-energy conformers of cyclic and acyclic molecules

构象异构 化学 摄动(天文学) 分子 脂环化合物 计算化学 立体化学 物理 量子力学 有机化学
作者
Midori Goto,Eiji Ōsawa
出处
期刊:Journal of the Chemical Society 卷期号: (2): 187-198 被引量:384
标识
DOI:10.1039/p29930000187
摘要

A set of strategies for exhaustively finding low-energy conformers of cyclic, acyclic or alicyclic molecules is presented. Starting from any conformation, local perturbation is systematically applied to all the flexible portions of the molecule in question to produce candidates of new conformation. The perturbations consist of flapping and/or flipping for endocyclic bonds and stepwise rotation for acyclic bonds. The conformations they produced are believed to lie close to the initial geometry in the conformational space. The global energy minimum (GEM) structure of the starting domain of conformational space can be quickly reached by always choosing the most stable of the conformers produced in the last perturbation cycle as the next initial structure. Once GEM of the domain is reached, the local perturbations direct the search gradually to higher and higher energy regions while exhaustively finding all the low-energy conformers therein. The variable search-limit strategy allows one to use unstable conformers as the initial structure for perturbation to ensure the exhaustiveness of the search in the low-energy region. By further increasing the search-limit, new domains of conformational space may be found. A program CONFLEX3 containing several additional strategies for improved performance has been tested for n-alkanes up to decane and cycloalkanes up to cyclododecane.

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
皮卡丘完成签到 ,获得积分0
刚刚
白露发布了新的文献求助10
刚刚
1秒前
花醉折枝应助Krystal采纳,获得10
2秒前
2秒前
乐乐应助羞涩的渊思采纳,获得10
4秒前
4秒前
5秒前
6秒前
blue完成签到,获得积分10
8秒前
haewon完成签到 ,获得积分10
8秒前
111发布了新的文献求助10
9秒前
sxj完成签到,获得积分20
10秒前
小熊发布了新的文献求助10
11秒前
12秒前
打打应助王w采纳,获得10
12秒前
我是老大应助务实金针菇采纳,获得10
14秒前
科目三应助不来采纳,获得10
15秒前
bkagyin应助bji采纳,获得10
15秒前
Akim应助阿兰采纳,获得10
15秒前
充电宝应助咖啡不加冰采纳,获得10
17秒前
19秒前
科研通AI6.1应助lyt采纳,获得10
22秒前
科目三应助lyt采纳,获得10
22秒前
Jasper应助lyt采纳,获得10
22秒前
pacify完成签到,获得积分10
22秒前
善学以致用应助swh采纳,获得10
22秒前
隐形曼青应助lyt采纳,获得10
22秒前
22秒前
23秒前
24秒前
24秒前
24秒前
24秒前
25秒前
追梦人完成签到 ,获得积分10
25秒前
天天快乐应助sxj采纳,获得30
25秒前
DDDD源完成签到,获得积分10
26秒前
丘比特应助leolancet采纳,获得10
26秒前
深情安青应助小熊采纳,获得10
27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
Kinesiophobia : a new view of chronic pain behavior 3000
Les Mantodea de guyane 2500
Signals, Systems, and Signal Processing 510
Discrete-Time Signals and Systems 510
Brittle Fracture in Welded Ships 500
Lloyd's Register of Shipping's Approach to the Control of Incidents of Brittle Fracture in Ship Structures 500
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 计算机科学 有机化学 物理 生物化学 纳米技术 复合材料 内科学 化学工程 人工智能 催化作用 遗传学 数学 基因 量子力学 物理化学
热门帖子
关注 科研通微信公众号,转发送积分 5941820
求助须知:如何正确求助?哪些是违规求助? 7064711
关于积分的说明 15886673
捐赠科研通 5072199
什么是DOI,文献DOI怎么找? 2728359
邀请新用户注册赠送积分活动 1686934
关于科研通互助平台的介绍 1613254