Identification of cancer inhibitors from Hystrix brachyura bezoar extracts using LC-MS multivariate data analysis and in silico evaluation on Bcl-2, cyclin B/CDK1, VEGF and NM23-H1
Hystrix brachyura bezoar is calcified undigested material found in the gastrointestinal tract known for various medicinal benefits including as an anticancer agent. However, the H. brachyura population has been declining due to its demand and is under Malaysian law protection. Therefore, present stu...
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my.ums.eprints.385892024-04-29T02:50:46Z https://eprints.ums.edu.my/id/eprint/38589/ Identification of cancer inhibitors from Hystrix brachyura bezoar extracts using LC-MS multivariate data analysis and in silico evaluation on Bcl-2, cyclin B/CDK1, VEGF and NM23-H1 Al’ aina Yuhainis Firus Khan Qamar Uddin Ahmed Alfi Khatib Zalikha Ibrahim Tanzina Sharmin Nipun Hatim Abdullah Natto Mohd Zuwairi Saiman Zainul Amiruddin Zakaria Ridhwan Abdul Wahab QD1-999 Chemistry RS400-431 Pharmaceutical chemistry Hystrix brachyura bezoar is calcified undigested material found in the gastrointestinal tract known for various medicinal benefits including as an anticancer agent. However, the H. brachyura population has been declining due to its demand and is under Malaysian law protection. Therefore, present study aimed to identify bezoar anticancer active compounds through metabolomics and in-silico approaches. Five replicates of bezoar powder were subjected to extraction using different solvent ratios of methanol-water (100, 75, 50, 25, 0% v/v). Cytotoxicity and metabolite profiling using liquid chromatography-mass spectrometry were conducted. Putative compounds identified were subjected to insilico analysis with targeted anticancer proteins namely, Bcl-2, Cyclin B/CDK1 complex, VEGF and NM23-H1. The correlation of LC-MS and cytotoxicity profile pinpointed two compounds, mangiferin and propafenone. In-silico study showed both compounds exerted good binding scores to all proteins with hydrophobic interaction dominating the ligand-protein complex binding, suggesting the ligands act as hydrophobes in the interactions. Blacpma 2024 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/38589/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/38589/2/FULL%20TEXT.pdf Al’ aina Yuhainis Firus Khan and Qamar Uddin Ahmed and Alfi Khatib and Zalikha Ibrahim and Tanzina Sharmin Nipun and Hatim Abdullah Natto and Mohd Zuwairi Saiman and Zainul Amiruddin Zakaria and Ridhwan Abdul Wahab (2024) Identification of cancer inhibitors from Hystrix brachyura bezoar extracts using LC-MS multivariate data analysis and in silico evaluation on Bcl-2, cyclin B/CDK1, VEGF and NM23-H1. Latin American and Caribbean Bulletin of Medicinal and Aromatic Plants, 23 (1). pp. 41-60. ISSN 0717-7917 https://doi.org/10.37360/blacpma.24.23.1.4 |
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QD1-999 Chemistry RS400-431 Pharmaceutical chemistry Al’ aina Yuhainis Firus Khan Qamar Uddin Ahmed Alfi Khatib Zalikha Ibrahim Tanzina Sharmin Nipun Hatim Abdullah Natto Mohd Zuwairi Saiman Zainul Amiruddin Zakaria Ridhwan Abdul Wahab Identification of cancer inhibitors from Hystrix brachyura bezoar extracts using LC-MS multivariate data analysis and in silico evaluation on Bcl-2, cyclin B/CDK1, VEGF and NM23-H1 |
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Hystrix brachyura bezoar is calcified undigested material found in the gastrointestinal tract known for various medicinal benefits including as an anticancer agent. However, the H. brachyura population has been declining due to its demand and is under Malaysian law protection. Therefore, present study aimed to identify bezoar anticancer active compounds through metabolomics and in-silico approaches. Five replicates of bezoar powder were subjected to extraction using different solvent ratios of methanol-water (100, 75, 50, 25, 0% v/v). Cytotoxicity and metabolite profiling using liquid chromatography-mass spectrometry were conducted. Putative compounds identified were subjected to insilico analysis with targeted anticancer proteins namely, Bcl-2, Cyclin B/CDK1 complex, VEGF and NM23-H1. The correlation of LC-MS and cytotoxicity profile pinpointed two compounds, mangiferin and propafenone. In-silico study showed both compounds exerted good binding scores to all proteins with hydrophobic interaction dominating the ligand-protein complex binding, suggesting the ligands act as hydrophobes in the interactions. |
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Article |
author |
Al’ aina Yuhainis Firus Khan Qamar Uddin Ahmed Alfi Khatib Zalikha Ibrahim Tanzina Sharmin Nipun Hatim Abdullah Natto Mohd Zuwairi Saiman Zainul Amiruddin Zakaria Ridhwan Abdul Wahab |
author_facet |
Al’ aina Yuhainis Firus Khan Qamar Uddin Ahmed Alfi Khatib Zalikha Ibrahim Tanzina Sharmin Nipun Hatim Abdullah Natto Mohd Zuwairi Saiman Zainul Amiruddin Zakaria Ridhwan Abdul Wahab |
author_sort |
Al’ aina Yuhainis Firus Khan |
title |
Identification of cancer inhibitors from Hystrix brachyura bezoar extracts using LC-MS multivariate data analysis and in silico evaluation on Bcl-2, cyclin B/CDK1, VEGF and NM23-H1 |
title_short |
Identification of cancer inhibitors from Hystrix brachyura bezoar extracts using LC-MS multivariate data analysis and in silico evaluation on Bcl-2, cyclin B/CDK1, VEGF and NM23-H1 |
title_full |
Identification of cancer inhibitors from Hystrix brachyura bezoar extracts using LC-MS multivariate data analysis and in silico evaluation on Bcl-2, cyclin B/CDK1, VEGF and NM23-H1 |
title_fullStr |
Identification of cancer inhibitors from Hystrix brachyura bezoar extracts using LC-MS multivariate data analysis and in silico evaluation on Bcl-2, cyclin B/CDK1, VEGF and NM23-H1 |
title_full_unstemmed |
Identification of cancer inhibitors from Hystrix brachyura bezoar extracts using LC-MS multivariate data analysis and in silico evaluation on Bcl-2, cyclin B/CDK1, VEGF and NM23-H1 |
title_sort |
identification of cancer inhibitors from hystrix brachyura bezoar extracts using lc-ms multivariate data analysis and in silico evaluation on bcl-2, cyclin b/cdk1, vegf and nm23-h1 |
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Blacpma |
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2024 |
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https://eprints.ums.edu.my/id/eprint/38589/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38589/2/FULL%20TEXT.pdf https://eprints.ums.edu.my/id/eprint/38589/ https://doi.org/10.37360/blacpma.24.23.1.4 |
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1797908646403768320 |
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13.209306 |