PubChem3D: a new resource for scientists

作者
Evan Bolton,Jie Chen,Sunghwan Kim,Lianyi Han,Siqian He,Wenyao Shi,Vahan V. Simonyan,Yan Lindsay Sun,Paul A Thiessen,Jiyao Wang,Bo Yu,Jian Zhang,Stephen H. Bryant
出处
期刊:Journal of Cheminformatics [BioMed Central]
卷期号:3 (1): 32-32 被引量:202
标识
DOI:10.1186/1758-2946-3-32
摘要

BACKGROUND: PubChem is an open repository for small molecules and their experimental biological activity. PubChem integrates and provides search, retrieval, visualization, analysis, and programmatic access tools in an effort to maximize the utility of contributed information. There are many diverse chemical structures with similar biological efficacies against targets available in PubChem that are difficult to interrelate using traditional 2-D similarity methods. A new layer called PubChem3D is added to PubChem to assist in this analysis. DESCRIPTION: PubChem generates a 3-D conformer model description for 92.3% of all records in the PubChem Compound database (when considering the parent compound of salts). Each of these conformer models is sampled to remove redundancy, guaranteeing a minimum (non-hydrogen atom pair-wise) RMSD between conformers. A diverse conformer ordering gives a maximal description of the conformational diversity of a molecule when only a subset of available conformers is used. A pre-computed search per compound record gives immediate access to a set of 3-D similar compounds (called "Similar Conformers") in PubChem and their respective superpositions. Systematic augmentation of PubChem resources to include a 3-D layer provides users with new capabilities to search, subset, visualize, analyze, and download data.A series of retrospective studies help to demonstrate important connections between chemical structures and their biological function that are not obvious using 2-D similarity but are readily apparent by 3-D similarity. CONCLUSIONS: The addition of PubChem3D to the existing contents of PubChem is a considerable achievement, given the scope, scale, and the fact that the resource is publicly accessible and free. With the ability to uncover latent structure-activity relationships of chemical structures, while complementing 2-D similarity analysis approaches, PubChem3D represents a new resource for scientists to exploit when exploring the biological annotations in PubChem.

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
斯文败类的应助被科研通管家采纳,获得10
刚刚
斯文败类的应助被科研通管家采纳,获得10
刚刚
Owen的应助被科研通管家采纳,获得10
1秒前
坚强冰枫的应助被科研通管家采纳,获得10
1秒前
xiaoma发布了新的文献求助10
1秒前
1秒前
Jacky的应助被科研通管家采纳,获得10
1秒前
1秒前
1秒前
aaa的应助被科研通管家采纳,获得20
1秒前
orixero的应助被科研通管家采纳,获得10
1秒前
1秒前
123的应助被科研通管家采纳,获得10
1秒前
1秒前
1秒前
2秒前
2秒前
orixero的应助被科研通管家采纳,获得10
2秒前
赘婿的应助被科研通管家采纳,获得10
2秒前
SciGPT的应助被科研通管家采纳,获得10
2秒前
Maestro_S的应助被科研通管家采纳,获得10
2秒前
433的应助被木槿昔年采纳,获得150
2秒前
洒脱完成签到,获得积分10
2秒前
potatoo1984完成签到,获得积分10
2秒前
纯真一刀发布了新的文献求助10
3秒前
万事胜意完成签到 ,获得积分10
3秒前
岛屿域完成签到,获得积分20
3秒前
5秒前
hxy发布了新的文献求助20
5秒前
5秒前
科研的光发布了新的文献求助10
6秒前
在水一方的应助被坚强的橘子采纳,获得10
6秒前
ray的应助被咕噜咕噜采纳,获得10
6秒前
ZHENGXN完成签到,获得积分10
7秒前
洒脱发布了新的文献求助10
7秒前
8秒前
NexusExplorer的应助被cheng采纳,获得10
9秒前
9秒前
欢喜小蚂蚁完成签到 ,获得积分10
11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
Les Mantodea De Guyane 2000
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 1000
Guidelines for fracture-safe and fatigue-reliable design of steel structures 600
The Basics of Practical Optimization, Second Edition 600
Problems and Solutions for Integer and Combinatorial Optimization: Building Skills in Discrete Optimization 600
Organizational Behavior 510
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 7990711
求助须知:如何正确求助?哪些是违规求助? 9446948
关于积分的说明 21109139
捐赠科研通 7563965
什么是DOI,文献DOI怎么找? 3378271
关于科研通互助平台的介绍 2512215
邀请新用户注册赠送积分活动 2411902