Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysis
Background: One potential treatment target for cancer cells is telomerase, an essential enzyme involved in the longevity of cancer cells. Current cancer treatments targeting telomerase often involve synthetic drugs with significant side effects, necessitating alternative approaches such as plant-bas...
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Elsevier
2025-02-01
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| Series: | Phytomedicine Plus |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667031324001805 |
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| author | Rahil Ummar Faruk Abbu Shaik Mohammad Abdul Fayaz Divyashree M S Raghu Chandrashekhar H Prasanna Kumar Reddy Gayam Archana Mahadev Rao |
| author_facet | Rahil Ummar Faruk Abbu Shaik Mohammad Abdul Fayaz Divyashree M S Raghu Chandrashekhar H Prasanna Kumar Reddy Gayam Archana Mahadev Rao |
| author_sort | Rahil Ummar Faruk Abbu |
| collection | DOAJ |
| description | Background: One potential treatment target for cancer cells is telomerase, an essential enzyme involved in the longevity of cancer cells. Current cancer treatments targeting telomerase often involve synthetic drugs with significant side effects, necessitating alternative approaches such as plant-based therapeutics. This study investigates the anti-telomerase activity of twelve phytochemicals derived from Blumea eriantha for cancer treatment. Methods: We examined the binding relationships between telomerase and the phytochemicals by performing molecular docking using Glide – Schrödinger, CB-Dock2 (Covalent Blind Docking 2), and Achilles Blind Docking. To further assess the interaction and stability of these phytochemicals and predict their behavior in a biological environment when targeting telomerase, we conducted molecular dynamic simulations using Desmond–Schrödinger. A comprehensive pharmacokinetic analysis using SwissADME and pkCSM (Pharmacokinetics and Toxicity by Computational Structure-based Models) supported these results by determining the drug-like qualities of these phytochemicals. The study further went on to identify synergistic treatment combinations using the Handy Recommendation Algorithm for Cancer Synergy (HRACS), where certain pairs of phytochemicals demonstrated enhanced anti-cancer efficacy against telomerase protein in A549 and MCF-7 cancer cell lines, suggesting that combinatorial therapy techniques may have potential. Results: Among the phytochemicals evaluated, Tyrphostin AG494 demonstrated the highest binding affinity to telomerase, as evidenced by its lowest interaction energy, with a Glide – Schrödinger Docking Score of -8.802 kcal/mol and a CB-Dock2 and Achilles Blind Docking Score of -8.5 kcal/mol. The phytochemical also exhibited a robust binding affinity mediated by consistent magnesium metal ion interactions involving key residues such as Asp251, Asp252, Ile252, and Asp343, along with additional hydrogen bonding and water-mediated contacts that enhance its stability and selectivity. Furthermore, all the phytochemicals, except Quassimarin, demonstrated various drug-like ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) parameters and validated Lipinski's rule of five, Veber, and Egan drug-likeness rules. Conclusion: Tyrphostin AG494 is the most effective natural phytochemical for inhibiting telomerase, exhibiting excellent binding affinity and stability, strong ADMET properties, and a safe toxicity profile. Therefore, following experimental validation, Tyrphostin AG494 is the most suitable and prospective candidate for telomerase inhibition and cancer therapy. |
| format | Article |
| id | doaj-art-49ed06a465a84bb69fe7b89d3c567e34 |
| institution | Kabale University |
| issn | 2667-0313 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Phytomedicine Plus |
| spelling | doaj-art-49ed06a465a84bb69fe7b89d3c567e342025-02-10T04:35:13ZengElsevierPhytomedicine Plus2667-03132025-02-0151100706Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysisRahil Ummar Faruk Abbu0Shaik Mohammad Abdul Fayaz1Divyashree M S2Raghu Chandrashekhar H3Prasanna Kumar Reddy Gayam4Archana Mahadev Rao5Department of Biotechnology, Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, IndiaDepartment of Biotechnology, Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, IndiaDepartment of Biotechnology, Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, IndiaDepartment of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Sciences (MCOPS), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, IndiaDepartment of Pharmaceutical Biotechnology, Manipal College of Pharmaceutical Sciences (MCOPS), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, IndiaDepartment of Biotechnology, Manipal Institute of Technology (MIT), Manipal Academy of Higher Education (MAHE), Manipal, Karnataka 576104, India; Corresponding author.Background: One potential treatment target for cancer cells is telomerase, an essential enzyme involved in the longevity of cancer cells. Current cancer treatments targeting telomerase often involve synthetic drugs with significant side effects, necessitating alternative approaches such as plant-based therapeutics. This study investigates the anti-telomerase activity of twelve phytochemicals derived from Blumea eriantha for cancer treatment. Methods: We examined the binding relationships between telomerase and the phytochemicals by performing molecular docking using Glide – Schrödinger, CB-Dock2 (Covalent Blind Docking 2), and Achilles Blind Docking. To further assess the interaction and stability of these phytochemicals and predict their behavior in a biological environment when targeting telomerase, we conducted molecular dynamic simulations using Desmond–Schrödinger. A comprehensive pharmacokinetic analysis using SwissADME and pkCSM (Pharmacokinetics and Toxicity by Computational Structure-based Models) supported these results by determining the drug-like qualities of these phytochemicals. The study further went on to identify synergistic treatment combinations using the Handy Recommendation Algorithm for Cancer Synergy (HRACS), where certain pairs of phytochemicals demonstrated enhanced anti-cancer efficacy against telomerase protein in A549 and MCF-7 cancer cell lines, suggesting that combinatorial therapy techniques may have potential. Results: Among the phytochemicals evaluated, Tyrphostin AG494 demonstrated the highest binding affinity to telomerase, as evidenced by its lowest interaction energy, with a Glide – Schrödinger Docking Score of -8.802 kcal/mol and a CB-Dock2 and Achilles Blind Docking Score of -8.5 kcal/mol. The phytochemical also exhibited a robust binding affinity mediated by consistent magnesium metal ion interactions involving key residues such as Asp251, Asp252, Ile252, and Asp343, along with additional hydrogen bonding and water-mediated contacts that enhance its stability and selectivity. Furthermore, all the phytochemicals, except Quassimarin, demonstrated various drug-like ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) parameters and validated Lipinski's rule of five, Veber, and Egan drug-likeness rules. Conclusion: Tyrphostin AG494 is the most effective natural phytochemical for inhibiting telomerase, exhibiting excellent binding affinity and stability, strong ADMET properties, and a safe toxicity profile. Therefore, following experimental validation, Tyrphostin AG494 is the most suitable and prospective candidate for telomerase inhibition and cancer therapy.http://www.sciencedirect.com/science/article/pii/S2667031324001805Molecular dockingPhytochemicalsPharmacokineticsTelomerase |
| spellingShingle | Rahil Ummar Faruk Abbu Shaik Mohammad Abdul Fayaz Divyashree M S Raghu Chandrashekhar H Prasanna Kumar Reddy Gayam Archana Mahadev Rao Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysis Phytomedicine Plus Molecular docking Phytochemicals Pharmacokinetics Telomerase |
| title | Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysis |
| title_full | Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysis |
| title_fullStr | Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysis |
| title_full_unstemmed | Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysis |
| title_short | Telomerase inhibiting phytochemicals derived from Blumea eriantha for cancer treatment: A comprehensive computational analysis |
| title_sort | telomerase inhibiting phytochemicals derived from blumea eriantha for cancer treatment a comprehensive computational analysis |
| topic | Molecular docking Phytochemicals Pharmacokinetics Telomerase |
| url | http://www.sciencedirect.com/science/article/pii/S2667031324001805 |
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