Liposome Drug Delivery in Cancer Chemotherapy: Review and Multifactorial Analysis

T. Regis, L. Knop, B. Machado, V. Senna
{"title":"Liposome Drug Delivery in Cancer Chemotherapy: Review and Multifactorial Analysis","authors":"T. Regis, L. Knop, B. Machado, V. Senna","doi":"10.34178/jbth.v2i2.58","DOIUrl":null,"url":null,"abstract":"We reviewed the use of liposomes for cancer therapy using computational biostatistics. We used virtual libraries, such as PubMed, LILACS, National Health Institute (NHI) and the Food Drug Administration (FDA) to conduct the review. Cluster analysis and correlation were developed using the Tanimoto coefficient (TC) of 0.7 using the modeling tool ChemMine Tools from databases (PubChem, DailyMed, DrugBank, Drug @ FDA). The results pointed fifteen molecules in the pharmaceutical form of liposome for the oncological clinic. Of these, 13 are classified by size into small-molecules and were analyzed by computational statistical modeling. Of these, only 4 were approved for use by the FDA, and 9 are in phases of research by the pharmaceutical industry as liposomal formulations. Essential differences in physical-chemical properties and molecules structure were observed, indicating original proposal in the development of liposomal as an anticancer drugs.","PeriodicalId":277735,"journal":{"name":"JOURNAL OF BIOENGINEERING OF AND TECCHNOLOGY applied to Health","volume":"33 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"JOURNAL OF BIOENGINEERING OF AND TECCHNOLOGY applied to Health","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.34178/jbth.v2i2.58","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

We reviewed the use of liposomes for cancer therapy using computational biostatistics. We used virtual libraries, such as PubMed, LILACS, National Health Institute (NHI) and the Food Drug Administration (FDA) to conduct the review. Cluster analysis and correlation were developed using the Tanimoto coefficient (TC) of 0.7 using the modeling tool ChemMine Tools from databases (PubChem, DailyMed, DrugBank, Drug @ FDA). The results pointed fifteen molecules in the pharmaceutical form of liposome for the oncological clinic. Of these, 13 are classified by size into small-molecules and were analyzed by computational statistical modeling. Of these, only 4 were approved for use by the FDA, and 9 are in phases of research by the pharmaceutical industry as liposomal formulations. Essential differences in physical-chemical properties and molecules structure were observed, indicating original proposal in the development of liposomal as an anticancer drugs.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
肿瘤化疗中的脂质体给药:综述和多因素分析
我们用计算生物统计学回顾了脂质体在癌症治疗中的应用。我们使用了PubMed、LILACS、National Health Institute (NHI)和Food Drug Administration (FDA)等虚拟图书馆来进行审查。使用数据库(PubChem, DailyMed, DrugBank, Drug @ FDA)中的建模工具ChemMine Tools,采用0.7的谷本系数(TC)进行聚类分析和相关性分析。研究结果为肿瘤临床提供了15种药物形式的脂质体。其中,13种按大小分为小分子,并通过计算统计模型进行分析。其中,只有4种被FDA批准使用,9种正处于制药行业作为脂质体制剂的研究阶段。在物理化学性质和分子结构上观察到本质上的差异,提示了作为抗癌药物的脂质体开发的最初设想。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Identification of Sex Using Linear Skull Measures: The Importance of Imaging in Biotechnology Liposome Drug Delivery in Cancer Chemotherapy: Review and Multifactorial Analysis Osteoma: A Case Report Based on Image Technology
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1