Computer-Aided Drug Design for the Identification of Novel Antischistosomal Compounds

药品 生物 药物发现 热带疾病 虚拟筛选 药物开发 药理学 血吸虫 计算生物学 抗药性 血吸虫病 疾病 生物信息学 医学 免疫学 曼氏血吸虫 微生物学 蠕虫 病理
作者
Jéssika de Oliveira Viana,Luciana Scotti,Luciana Scotti
出处
期刊:Methods in molecular biology 卷期号:: 9-26 被引量:1
标识
DOI:10.1007/978-1-0716-0635-3_2
摘要

Schistosomiasis is a chronic neglected tropical disease, highlighted by the presence of Schistosoma worms, which presents in advanced cases in approximately 80 countries, affecting almost 300 million people. The treatment is based on only one drug, praziquantel, a drug discovered in the 1970s that shows moderate efficacy against the adult parasite, but low efficacy against the larval stages of the parasite. Therefore, the use of only one drug has brought concerns and losses on drug-resistance cases, necessitating the development of new effective chemotherapeutic agents against Schistosoma species. One of the strategies that have been implemented in drug development is the computer-aided drug design (CADD), investigating the structural characteristics of the compounds and targets in order to understand their actions and biological activities through 3D virtual manipulation, as the QSAR applied to ligands and molecular docking applied to a respective biological target. These studies help to extract information and characteristics relevant to the activity, as well as to predict potential applications and activity. Therefore, this chapter will present the main validated biological targets of the genus Schistosoma, as thioredoxin glutathione reductase (TGR), histone deacetylases (HDAC 1, HDAC 8), dihydroorotate dehydrogenase, sirtuin protein and cathepsin L1, as well as reports of CADD in literature applied to the development of drugs against schistosomiasis, providing compounds with high pharmacological potential and high specificity.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
大幅提高文件上传限制,最高150M (2024-4-1)

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
小么完成签到 ,获得积分10
刚刚
1秒前
1秒前
3秒前
CipherSage应助阿北采纳,获得10
3秒前
4秒前
5秒前
情怀应助韦静采纳,获得10
5秒前
YaHe发布了新的文献求助10
5秒前
8秒前
任性雨筠完成签到,获得积分20
8秒前
9秒前
柒安完成签到 ,获得积分10
10秒前
小花小宝和阿飞完成签到 ,获得积分10
12秒前
cy发布了新的文献求助10
13秒前
蒋时晏应助科研通管家采纳,获得20
15秒前
科研通AI2S应助科研通管家采纳,获得10
15秒前
李健应助科研通管家采纳,获得10
15秒前
科研通AI2S应助科研通管家采纳,获得10
15秒前
zxy完成签到 ,获得积分10
15秒前
一一应助科研通管家采纳,获得60
15秒前
科研通AI2S应助科研通管家采纳,获得10
15秒前
顺利的尔槐完成签到,获得积分10
17秒前
锺zhishui完成签到,获得积分10
17秒前
席香薇发布了新的文献求助10
18秒前
古月完成签到 ,获得积分10
20秒前
20秒前
黑山路老军医完成签到,获得积分20
22秒前
亵渎完成签到,获得积分10
22秒前
25秒前
奋斗的鞅完成签到,获得积分10
26秒前
打打应助小明采纳,获得10
26秒前
科目三应助oboul采纳,获得10
27秒前
36秒前
41秒前
韦静发布了新的文献求助10
41秒前
LLLL应助酷炫的过客采纳,获得10
44秒前
48秒前
雍遥发布了新的文献求助10
53秒前
54秒前
高分求助中
求助这个网站里的问题集 1000
Floxuridine; Third Edition 1000
Models of Teaching(The 10th Edition,第10版!)《教学模式》(第10版!) 800
La décision juridictionnelle 800
Rechtsphilosophie und Rechtstheorie 800
Nonlocal Integral Equation Continuum Models: Nonstandard Symmetric Interaction Neighborhoods and Finite Element Discretizations 600
https://doi.org/10.1016/B978-0-08-102688-5.00007-6 500
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 免疫学 细胞生物学 电极
热门帖子
关注 科研通微信公众号,转发送积分 2872994
求助须知:如何正确求助?哪些是违规求助? 2481766
关于积分的说明 6722580
捐赠科研通 2167234
什么是DOI,文献DOI怎么找? 1151287
版权声明 585722
科研通“疑难数据库(出版商)”最低求助积分说明 565223