DRAMP: a comprehensive data repository of antimicrobial peptides

抗菌肽 抗菌剂 计算生物学 计算机科学 生物数据库 蛋白质数据库 有机体 生物信息学 生物 数据库 微生物学 蛋白质结构 遗传学 生物化学
作者
Linlin Fan,Jian Sun,Meifeng Zhou,Jie Zhou,Xingzhen Lao,Heng Zheng,Hanmei Xu
出处
期刊:Scientific Reports [Nature Portfolio]
卷期号:6 (1) 被引量:198
标识
DOI:10.1038/srep24482
摘要

Abstract The growing problem of antibiotic-resistant microorganisms results in an urgent need for substitutes to conventional antibiotics with novel modes of action and effective activities. Antimicrobial peptides (AMPs), produced by a wide variety of living organisms acting as a defense mechanism against invading pathogenic microbes, are considered to be such promising alternatives. AMPs display a broad spectrum of antimicrobial activity and a low propensity for developing resistance. Therefore, a thorough understanding of AMPs is essential to exploit them as antimicrobial drugs. Considering this, we developed a comprehensive user-friendly data repository of antimicrobial peptides (DRAMP), which holds 17349 antimicrobial sequences, including 4571 general AMPs, 12704 patented sequences and 74 peptides in drug development. Entries in the database have detailed annotations, especially detailed antimicrobial activity data (shown as target organism with MIC value) and structure information. Annotations also include accession numbers crosslinking to Pubmed, Swiss-prot and Protein Data Bank (PDB). The website of the database comes with easy-to-operate browsing as well as searching with sorting and filtering functionalities. Several useful sequence analysis tools are provided, including similarity search, sequence alignment and conserved domain search (CD-Search). DRAMP should be a useful resource for the development of novel antimicrobial peptide drugs.

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
1秒前
小涂同学发布了新的文献求助20
1秒前
可可完成签到,获得积分10
1秒前
2秒前
我是老大应助敬业乐群采纳,获得10
4秒前
5秒前
zln完成签到,获得积分10
5秒前
accept完成签到,获得积分10
6秒前
Lux发布了新的文献求助10
6秒前
独特阑香发布了新的文献求助10
6秒前
今后应助吱哦周采纳,获得10
7秒前
M1AO关注了科研通微信公众号
8秒前
hallie应助zhuooo采纳,获得20
8秒前
8秒前
欢欢完成签到,获得积分10
9秒前
JamesPei应助成年大香蕉采纳,获得10
10秒前
11秒前
tyun完成签到 ,获得积分10
12秒前
科研通AI6.3应助欢欢采纳,获得10
13秒前
不吃香菜发布了新的文献求助10
14秒前
CSX完成签到 ,获得积分10
14秒前
曾经的怀亦完成签到,获得积分20
14秒前
17秒前
飘零枫叶完成签到,获得积分10
17秒前
萧海完成签到,获得积分10
20秒前
20秒前
20秒前
大力的冬萱应助落霞采纳,获得20
21秒前
21秒前
Hello应助PIEZO2采纳,获得10
21秒前
22秒前
小涂同学发布了新的文献求助10
22秒前
不安的米老鼠完成签到,获得积分10
22秒前
科研狗应助学不懂数学采纳,获得40
23秒前
24秒前
吱哦周发布了新的文献求助10
24秒前
吴祥坤发布了新的文献求助10
24秒前
M1AO发布了新的文献求助10
25秒前
路神烦烦哒完成签到 ,获得积分10
25秒前
25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
Markov Chain Monte Carlo 5000
Weaponeering: An Introduction Fourth Edition, Volume 1 1000
Advanced Weaponeering Fourth Edition, Volume 2 1000
Evidence Summary. Injection (subcutaneous):op- timal administration 1000
悉尼大学博士学位论文,题目:Modelling and testing of one-sided stitched laminated composites. 作者:Kristopher P. Plain 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7494505
求助须知:如何正确求助?哪些是违规求助? 9085914
关于积分的说明 19377995
捐赠科研通 7106346
什么是DOI,文献DOI怎么找? 3249749
关于科研通互助平台的介绍 2419147
邀请新用户注册赠送积分活动 2235461