Xiangyun Ye, Yinjia Sun, Yunhua Xu, Zhiwei Chen, Shun Lu
{"title":"肺癌相关肿瘤丙酮酸激酶 M2 (PKM2) 抑制剂的硅-体外综合发现。","authors":"Xiangyun Ye, Yinjia Sun, Yunhua Xu, Zhiwei Chen, Shun Lu","doi":"10.2174/1573406412666160307151535","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The tumor pyruvate kinase M2 (PKM2) is involved in the glycolytic pathway of lung cancer and targeting this kinase has been observed to radiosensitize non-small cell lung cancer (NSCLC).</p><p><strong>Objective: </strong>An integration of in silico virtual screening and in vitro kinase assay was described to discover novel PKM2 inhibitors from a candidate library containing >400,000 commercially available compounds.</p><p><strong>Method: </strong>The method is a stepwise screening scheme that first used empirical strategies to fast exclude those undruggable compounds in the library and then employed molecular docking and molecular dynamics (MD)-based rescoring to identify few potential hits. Subsequently, the computational findings were substantiated using a standard kinase assay protocol.</p><p><strong>Results: </strong>Four compounds, i.e. nalidixic acid, indoprofen, hematoxylin and polydatin, were identified to inhibit PKM2 kinase at micromolar level, with IC50 values of 53, 21, 340 and 128 .M, respectively.</p><p><strong>Conclusion: </strong>Structural analysis revealed that hydrogen bonds, salt bridges, π-π stacking and hydrophobic forces co-confer high stability and strong specificity to PKM2-inhibitor binding.</p>","PeriodicalId":35437,"journal":{"name":"Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)","volume":"98 1","pages":"613-620"},"PeriodicalIF":0.0000,"publicationDate":"2016-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"15","resultStr":"{\"title\":\"Integrated In Silico-In Vitro Discovery of Lung Cancer-related Tumor Pyruvate Kinase M2 (PKM2) Inhibitors.\",\"authors\":\"Xiangyun Ye, Yinjia Sun, Yunhua Xu, Zhiwei Chen, Shun Lu\",\"doi\":\"10.2174/1573406412666160307151535\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>The tumor pyruvate kinase M2 (PKM2) is involved in the glycolytic pathway of lung cancer and targeting this kinase has been observed to radiosensitize non-small cell lung cancer (NSCLC).</p><p><strong>Objective: </strong>An integration of in silico virtual screening and in vitro kinase assay was described to discover novel PKM2 inhibitors from a candidate library containing >400,000 commercially available compounds.</p><p><strong>Method: </strong>The method is a stepwise screening scheme that first used empirical strategies to fast exclude those undruggable compounds in the library and then employed molecular docking and molecular dynamics (MD)-based rescoring to identify few potential hits. Subsequently, the computational findings were substantiated using a standard kinase assay protocol.</p><p><strong>Results: </strong>Four compounds, i.e. nalidixic acid, indoprofen, hematoxylin and polydatin, were identified to inhibit PKM2 kinase at micromolar level, with IC50 values of 53, 21, 340 and 128 .M, respectively.</p><p><strong>Conclusion: </strong>Structural analysis revealed that hydrogen bonds, salt bridges, π-π stacking and hydrophobic forces co-confer high stability and strong specificity to PKM2-inhibitor binding.</p>\",\"PeriodicalId\":35437,\"journal\":{\"name\":\"Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)\",\"volume\":\"98 1\",\"pages\":\"613-620\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"15\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.2174/1573406412666160307151535\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Engineering\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of the Illuminating Engineering Institute of Japan (Shomei Gakkai Shi)","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.2174/1573406412666160307151535","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Engineering","Score":null,"Total":0}
Integrated In Silico-In Vitro Discovery of Lung Cancer-related Tumor Pyruvate Kinase M2 (PKM2) Inhibitors.
Background: The tumor pyruvate kinase M2 (PKM2) is involved in the glycolytic pathway of lung cancer and targeting this kinase has been observed to radiosensitize non-small cell lung cancer (NSCLC).
Objective: An integration of in silico virtual screening and in vitro kinase assay was described to discover novel PKM2 inhibitors from a candidate library containing >400,000 commercially available compounds.
Method: The method is a stepwise screening scheme that first used empirical strategies to fast exclude those undruggable compounds in the library and then employed molecular docking and molecular dynamics (MD)-based rescoring to identify few potential hits. Subsequently, the computational findings were substantiated using a standard kinase assay protocol.
Results: Four compounds, i.e. nalidixic acid, indoprofen, hematoxylin and polydatin, were identified to inhibit PKM2 kinase at micromolar level, with IC50 values of 53, 21, 340 and 128 .M, respectively.
Conclusion: Structural analysis revealed that hydrogen bonds, salt bridges, π-π stacking and hydrophobic forces co-confer high stability and strong specificity to PKM2-inhibitor binding.