Targeting Pim-1 kinase for potential drug-development.

Q4 Pharmacology, Toxicology and Pharmaceutics International Journal of Computational Biology and Drug Design Pub Date : 2012-01-01 Epub Date: 2012-07-31 DOI:10.1504/IJCBDD.2012.048303
Nikhil Gadewal, Ashok Varma
{"title":"Targeting Pim-1 kinase for potential drug-development.","authors":"Nikhil Gadewal,&nbsp;Ashok Varma","doi":"10.1504/IJCBDD.2012.048303","DOIUrl":null,"url":null,"abstract":"<p><p>Dysregulation of Pim-1 kinase has been implicated in several human cancers. Many potential inhibitors of PIM kinase have been reported, but potential bioactive compounds are still far from reach. Keeping this in mind, we have selected structurally known diverse Pim-1 kinase inhibitors to find novel small molecule drug-leads. A ligand-based pharmacophore model for Pim-1 kinase was developed using PHASE software. A four feature pharmacophoric hypothesis (AAHR) was used to develop atom-based 3D-QSAR model with the best regression coefficient of 0.9433 and Pearson-R of 0.9344. Compounds from Asinex platinum database were obtained whose pIC(50) values matched the 3D-QSAR model. Structural and molecular interaction studies on the training and test sets suggest that designing novel compounds hydrogen bond with Asp128 in the bioactive region of Pim-1 kinase would result in therapeutic success.</p>","PeriodicalId":39227,"journal":{"name":"International Journal of Computational Biology and Drug Design","volume":"5 2","pages":"137-51"},"PeriodicalIF":0.0000,"publicationDate":"2012-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1504/IJCBDD.2012.048303","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Computational Biology and Drug Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJCBDD.2012.048303","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2012/7/31 0:00:00","PubModel":"Epub","JCR":"Q4","JCRName":"Pharmacology, Toxicology and Pharmaceutics","Score":null,"Total":0}
引用次数: 4

Abstract

Dysregulation of Pim-1 kinase has been implicated in several human cancers. Many potential inhibitors of PIM kinase have been reported, but potential bioactive compounds are still far from reach. Keeping this in mind, we have selected structurally known diverse Pim-1 kinase inhibitors to find novel small molecule drug-leads. A ligand-based pharmacophore model for Pim-1 kinase was developed using PHASE software. A four feature pharmacophoric hypothesis (AAHR) was used to develop atom-based 3D-QSAR model with the best regression coefficient of 0.9433 and Pearson-R of 0.9344. Compounds from Asinex platinum database were obtained whose pIC(50) values matched the 3D-QSAR model. Structural and molecular interaction studies on the training and test sets suggest that designing novel compounds hydrogen bond with Asp128 in the bioactive region of Pim-1 kinase would result in therapeutic success.

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
靶向Pim-1激酶的潜在药物开发。
Pim-1激酶的失调与几种人类癌症有关。许多潜在的PIM激酶抑制剂已被报道,但潜在的生物活性化合物仍远未达到。考虑到这一点,我们选择了结构已知的多种Pim-1激酶抑制剂来寻找新的小分子药物先导物。采用PHASE软件建立了Pim-1激酶的配体药效团模型。采用四特征药效假设(AAHR)建立基于原子的3D-QSAR模型,最佳回归系数为0.9433,Pearson-R为0.9344。从Asinex铂数据库中获得pIC(50)值符合3D-QSAR模型的化合物。训练集和测试集的结构和分子相互作用研究表明,在Pim-1激酶的生物活性区设计与Asp128结合的新型化合物氢键将导致治疗成功。
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
International Journal of Computational Biology and Drug Design
International Journal of Computational Biology and Drug Design Pharmacology, Toxicology and Pharmaceutics-Drug Discovery
CiteScore
1.00
自引率
0.00%
发文量
8
期刊最新文献
Assessment and Validation of Emulgel Based Salicylic acid Formulation Development to Drug release and Optimization by Statistical Design EyeRIS: Image-Based Identification of Goats using Iris Advanced DEEPCNN Breast Cancer Mammogram Image Detection and Classification with Butterfly Optimization Algorithm A Unique Noise Detector Developed for the Filtering of X-Ray Images of Bone Fractures Residue Interaction Network analysis and Molecular dynamics simulation of 6K Viroporin: Chikungunya Virus Channel Proteins
×
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