{"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.
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。