{"title":"对人肺癌A459细胞体外抗癌活性的苄基肼类苯酰胺衍生物的QSAR研究","authors":"Galih Satrio Putra, Melanny Ika Sulistyowaty, Tegar Achsendo Yuniarta, Yahmin Yahmin, Sumari Sumari, Charinrat Saechan, Takayasu Yamauchi","doi":"10.56499/jppres23.1718_11.6.1123","DOIUrl":null,"url":null,"abstract":"Context: In the last decade, resistance to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) in lung cancer cases has been widespread. The discovery and development of new drugs need to be done to overcome the case. Aims: To develop lung anticancer candidates with benzylidene hydrazine benzamides derivatives that can inhibit the growth of human lung cancer cell line A459. Methods: The in silico approach method, along with the QSAR technique, plays an important role in the process of discovery and development of new drugs. In this study, we focused on developing benzylidene hydrazine benzamides derivatives that are much more potent by making the best QSAR equation of 11 benzylidene hydrazine benzamides that have been tested in vitro for its anticancer activity against human lung cancer cell line A459. Results: The best QSAR equation was obtained from benzylidene hydrazine benzamides derivatives as anticancer activity against human lung cancer cell line A459, with PIC50 = 0.738 (± 0.217) Log S - 0.031 (± 0.007) rerank + 0.017 (± 0.016) MR -1.359 ± (1.381) (n = 11; Sig = 0.003; r = 0.921; R2 = 0.849; F= 13.096; Q2 = 0.61). Conclusions: The best QSAR equation can be a tool to obtain a new chemical structure model with more potential and reduce trials and errors.","PeriodicalId":43917,"journal":{"name":"Journal of Pharmacy & Pharmacognosy Research","volume":"34 12","pages":"0"},"PeriodicalIF":1.2000,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"QSAR study of benzylidene hydrazine benzamides derivatives with in vitro anticancer activity against human lung cancer cell line A459\",\"authors\":\"Galih Satrio Putra, Melanny Ika Sulistyowaty, Tegar Achsendo Yuniarta, Yahmin Yahmin, Sumari Sumari, Charinrat Saechan, Takayasu Yamauchi\",\"doi\":\"10.56499/jppres23.1718_11.6.1123\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Context: In the last decade, resistance to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) in lung cancer cases has been widespread. The discovery and development of new drugs need to be done to overcome the case. Aims: To develop lung anticancer candidates with benzylidene hydrazine benzamides derivatives that can inhibit the growth of human lung cancer cell line A459. Methods: The in silico approach method, along with the QSAR technique, plays an important role in the process of discovery and development of new drugs. In this study, we focused on developing benzylidene hydrazine benzamides derivatives that are much more potent by making the best QSAR equation of 11 benzylidene hydrazine benzamides that have been tested in vitro for its anticancer activity against human lung cancer cell line A459. Results: The best QSAR equation was obtained from benzylidene hydrazine benzamides derivatives as anticancer activity against human lung cancer cell line A459, with PIC50 = 0.738 (± 0.217) Log S - 0.031 (± 0.007) rerank + 0.017 (± 0.016) MR -1.359 ± (1.381) (n = 11; Sig = 0.003; r = 0.921; R2 = 0.849; F= 13.096; Q2 = 0.61). Conclusions: The best QSAR equation can be a tool to obtain a new chemical structure model with more potential and reduce trials and errors.\",\"PeriodicalId\":43917,\"journal\":{\"name\":\"Journal of Pharmacy & Pharmacognosy Research\",\"volume\":\"34 12\",\"pages\":\"0\"},\"PeriodicalIF\":1.2000,\"publicationDate\":\"2023-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Pharmacy & Pharmacognosy Research\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.56499/jppres23.1718_11.6.1123\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"PHARMACOLOGY & PHARMACY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Pharmacy & Pharmacognosy Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.56499/jppres23.1718_11.6.1123","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"PHARMACOLOGY & PHARMACY","Score":null,"Total":0}
QSAR study of benzylidene hydrazine benzamides derivatives with in vitro anticancer activity against human lung cancer cell line A459
Context: In the last decade, resistance to epidermal growth factor receptor-tyrosine kinase inhibitors (EGFR-TKIs) in lung cancer cases has been widespread. The discovery and development of new drugs need to be done to overcome the case. Aims: To develop lung anticancer candidates with benzylidene hydrazine benzamides derivatives that can inhibit the growth of human lung cancer cell line A459. Methods: The in silico approach method, along with the QSAR technique, plays an important role in the process of discovery and development of new drugs. In this study, we focused on developing benzylidene hydrazine benzamides derivatives that are much more potent by making the best QSAR equation of 11 benzylidene hydrazine benzamides that have been tested in vitro for its anticancer activity against human lung cancer cell line A459. Results: The best QSAR equation was obtained from benzylidene hydrazine benzamides derivatives as anticancer activity against human lung cancer cell line A459, with PIC50 = 0.738 (± 0.217) Log S - 0.031 (± 0.007) rerank + 0.017 (± 0.016) MR -1.359 ± (1.381) (n = 11; Sig = 0.003; r = 0.921; R2 = 0.849; F= 13.096; Q2 = 0.61). Conclusions: The best QSAR equation can be a tool to obtain a new chemical structure model with more potential and reduce trials and errors.
期刊介绍:
The Journal of Pharmacy & Pharmacognosy Research (JPPRes) is an international, specialized and peer-reviewed open access journal, under the auspices of AVAGAX – Diseño, Publicidad y Servicios Informáticos, which publishes studies in the pharmaceutical and herbal fields concerned with the physical, botanical, chemical, biological, toxicological properties and clinical applications of molecular entities, active pharmaceutical ingredients, devices and delivery systems for drugs, vaccines and biologicals, including their design, manufacture, evaluation and marketing. This journal publishes research papers, reviews, commentaries and letters to the editor as well as special issues and review of pre-and post-graduate thesis from pharmacists or professionals involved in Pharmaceutical Sciences or Pharmacognosy.