An Investigation on the Quantitative Structure-Activity Relationships of the Anti-Inflammatory Activity of Diterpenoid Alkaloids

萜类 数量结构-活动关系 生物碱 化学 消炎药 EC50型 立体化学 药理学 传统医学 体外 医学 生物化学
作者
Li Xiao,Ning Li,Zhenyu Sui,Kaishun Bi,Zuojing Li
出处
期刊:Molecules [MDPI AG]
卷期号:22 (3): 363-363 被引量:12
标识
DOI:10.3390/molecules22030363
摘要

Diterpenoid alkaloids are extracted from plants. These compounds have broad biological activities, including effects on the cardiovascular system, anti-inflammatory and analgesic actions, and anti-tumor activity. The anti-inflammatory activity was determined by carrageenan-induced rat paw edema and experimental trauma in rats. The number of studies focused on the determination, quantitation and pharmacological properties of these alkaloids has increased dramatically during the past few years. In this work we built a dataset composed of 15 diterpenoid alkaloid compounds with diverse structures, of which 11 compounds were included in the training set and the remaining compounds were included in the test set. The quantitative chemistry parameters of the 15 diterpenoid alkaloids compound were calculated using the HyperChem software, and the quantitative structure-activity relationship (QSAR) of these diterpenoid alkaloid compounds were assessed in an anti-inflammation model based on half maximal effective concentration (EC50) measurements obtained from rat paw edema data. The QSAR prediction model is as follows: log ( E C 50 ) = - 0.0260 × SAA + 0.0086 × SAG + 0.0011 × VOL - 0.0641 × HE - 0.2628 × LogP - 0.5594 × REF - 0.2211 × POL - 0.1964 × MASS + 0.088 × BE + 0.1398 × HF (R² = 0.981, Q² = 0.92). The validated consensus EC50 for the QSAR model, developed from the rat paw edema anti-inflammation model used in this study, indicate that this model was capable of effective prediction and can be used as a reliable computational predictor of diterpenoid alkaloid activity.
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
刚刚
Skyrin完成签到,获得积分10
刚刚
ymx完成签到,获得积分10
1秒前
耶耶发布了新的文献求助50
1秒前
1秒前
梦芝发布了新的文献求助10
1秒前
英俊的铭应助淳于语海采纳,获得10
2秒前
淡扫峨眉完成签到,获得积分10
3秒前
3秒前
HM发布了新的文献求助10
4秒前
5秒前
儒雅的冷梅完成签到,获得积分10
5秒前
5秒前
打打应助冷傲的白卉采纳,获得10
5秒前
alick完成签到,获得积分10
6秒前
满意哈密瓜,数据线完成签到 ,获得积分20
6秒前
123完成签到 ,获得积分10
6秒前
小马甲应助老迟到的秋采纳,获得10
6秒前
小邓完成签到,获得积分10
7秒前
vv完成签到,获得积分10
7秒前
ZeSheng发布了新的文献求助10
7秒前
淡扫峨眉发布了新的文献求助10
7秒前
lina完成签到,获得积分10
8秒前
低空飞行发布了新的文献求助10
8秒前
8秒前
科研通AI5应助qin采纳,获得10
9秒前
橘子完成签到,获得积分10
9秒前
小卡完成签到 ,获得积分10
9秒前
10秒前
10秒前
纯真尔竹完成签到,获得积分20
10秒前
上官若男应助ff采纳,获得10
10秒前
Hou发布了新的文献求助10
11秒前
淳于语海完成签到,获得积分10
11秒前
HM完成签到,获得积分10
11秒前
12秒前
情怀应助wangdunli采纳,获得10
13秒前
13秒前
FrankW完成签到,获得积分10
13秒前
13秒前
高分求助中
Production Logging: Theoretical and Interpretive Elements 2700
Conference Record, IAS Annual Meeting 1977 1050
Les Mantodea de Guyane Insecta, Polyneoptera 1000
England and the Discovery of America, 1481-1620 600
Teaching language in context (Third edition) by Derewianka, Beverly; Jones, Pauline 550
Plant–Pollinator Interactions: From Specialization to Generalization 400
Cai Yuanpei y la educación en la República de China (1912-1949) 400
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3588902
求助须知:如何正确求助?哪些是违规求助? 3157433
关于积分的说明 9514805
捐赠科研通 2860164
什么是DOI,文献DOI怎么找? 1571708
邀请新用户注册赠送积分活动 737364
科研通“疑难数据库(出版商)”最低求助积分说明 722248