亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

NAFLDkb: A Knowledge Base and Platform for Drug Development against Nonalcoholic Fatty Liver Disease

非酒精性脂肪肝 药物重新定位 药品 药物开发 计算机科学 疾病 药物发现 知识库 医学 资源(消歧) 数据科学 生物信息学 脂肪肝 万维网 药理学 病理 生物 计算机网络
作者
Tingjun Xu,Wenxing Gao,Lixin Zhu,Wanning Chen,Chaoqun Niu,Wenjing Yin,Liangxiao Ma,Xinyue Zhu,Yunchao Ling,Sheng Gao,Lei Liu,Na Jiao,Wei‐Ming Chen,Guoqing Zhang,Ruixin Zhu,Dingfeng Wu
出处
期刊:Journal of Chemical Information and Modeling [American Chemical Society]
卷期号:64 (7): 2817-2828 被引量:7
标识
DOI:10.1021/acs.jcim.3c00395
摘要

Nonalcoholic fatty liver disease (NAFLD) is the most common chronic liver disease with a broad spectrum of histologic manifestations. The rapidly growing prevalence and the complex pathologic mechanisms of NAFLD pose great challenges for treatment development. Despite tremendous efforts devoted to drug development, there are no FDA-approved medicines yet. Here, we present NAFLDkb, a specialized knowledge base and platform for computer-aided drug design against NAFLD. With multiperspective information curated from diverse source materials and public databases, NAFLDkb presents the associations of drug-related entities as individual knowledge graphs. Practical drug discovery tools that facilitate the utilization and expansion of NAFLDkb have also been implemented in the web interface, including chemical structure search, drug-likeness screening, knowledge-based repositioning, and research article annotation. Moreover, case studies of a knowledge graph repositioning model and a generative neural network model are presented herein, where three repositioning drug candidates and 137 novel lead-like compounds were newly established as NAFLD pharmacotherapy options reusing data records and machine learning tools in NAFLDkb, suggesting its clinical reliability and great potential in identifying novel drug-disease associations of NAFLD and generating new insights to accelerate NAFLD drug development. NAFLDkb is freely accessible at https://www.biosino.org/nafldkb and will be updated periodically with the latest findings.
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
1秒前
Criminology34应助科研通管家采纳,获得10
2秒前
Criminology34应助科研通管家采纳,获得10
2秒前
Criminology34应助科研通管家采纳,获得10
2秒前
Criminology34应助科研通管家采纳,获得10
2秒前
Criminology34应助科研通管家采纳,获得10
2秒前
小蘑菇应助科研通管家采纳,获得10
2秒前
shinn发布了新的文献求助10
5秒前
Akim应助xjzx_xxh采纳,获得10
14秒前
21秒前
gjz发布了新的文献求助10
24秒前
大模型应助shinn采纳,获得10
28秒前
轻松大王完成签到,获得积分10
28秒前
28秒前
健壮冰淇淋完成签到,获得积分10
30秒前
SciGPT应助zjq采纳,获得10
32秒前
Rr发布了新的文献求助10
34秒前
38秒前
38秒前
39秒前
42秒前
xjzx_xxh发布了新的文献求助10
43秒前
shinn发布了新的文献求助10
44秒前
小年小少发布了新的文献求助10
46秒前
48秒前
50秒前
无为完成签到,获得积分10
52秒前
xjzx_xxh完成签到,获得积分10
56秒前
Jasper应助标致的元柏采纳,获得10
56秒前
wanwan524完成签到 ,获得积分10
58秒前
无语的巨人完成签到 ,获得积分10
1分钟前
1分钟前
toutou应助Omni采纳,获得10
1分钟前
烟花应助shinn采纳,获得10
1分钟前
1分钟前
1分钟前
1分钟前
量子星尘发布了新的文献求助10
1分钟前
小年小少发布了新的文献求助10
1分钟前
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
Introduction to strong mixing conditions volume 1-3 5000
Agyptische Geschichte der 21.30. Dynastie 3000
Aerospace Engineering Education During the First Century of Flight 2000
„Semitische Wissenschaften“? 1510
从k到英国情人 1500
sQUIZ your knowledge: Multiple progressive erythematous plaques and nodules in an elderly man 1000
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 5772446
求助须知:如何正确求助?哪些是违规求助? 5598683
关于积分的说明 15429642
捐赠科研通 4905409
什么是DOI,文献DOI怎么找? 2639381
邀请新用户注册赠送积分活动 1587308
关于科研通互助平台的介绍 1542165