Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective

Brain cancer ranks 10th among cancer-related causes of death for patients worldwide. Medical chemists still have many challenges because of the high side effects, increasing tumor resistance, and low selectivity of new chemotherapeutic medications despite the enormous effort put out to extract, deve...

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Main Authors: Roney, Miah, Issahaku, Abdul Rashid, Wilhelm, Anke, Mohd Fadhlizil Fasihi, Mohd Aluwi
Format: Article
Language:English
Published: AMG Transcend Association 2024
Subjects:
Online Access:http://umpir.ump.edu.my/id/eprint/43150/1/Identification%20of%20Potent%20New%20Brain%20Cancer%20EGFR%20Inhibitor%20from%20Usimine%20A%20and%20Usimine%20B%20-%20Computer-Aided%20Drug%20Design%20Perspective.pdf
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author Roney, Miah
Issahaku, Abdul Rashid
Wilhelm, Anke
Mohd Fadhlizil Fasihi, Mohd Aluwi
author_facet Roney, Miah
Issahaku, Abdul Rashid
Wilhelm, Anke
Mohd Fadhlizil Fasihi, Mohd Aluwi
author_sort Roney, Miah
collection UMP
description Brain cancer ranks 10th among cancer-related causes of death for patients worldwide. Medical chemists still have many challenges because of the high side effects, increasing tumor resistance, and low selectivity of new chemotherapeutic medications despite the enormous effort put out to extract, develop, and synthesize them. The anti-cancer potential of many natural substances has garnered significant research in the past few decades. This study's main goal is to discover the anti-cancer activity of Usimine A and Usimine B against the EGFR protein of brain cancer using the in-silico approaches. In this study, the biological features of Usimine A and Usimine B were determined using the PASS prediction tool, and the pIC50 value was predicted to know the activity of these compounds. Furthermore, molecular docking and dynamic simulations were performed to see the binding affinity and stability of the docking complexes. Usimine A and Usimine B have the PASS prediction score of 0.835<Pa<0.002 and 0.851<Pa<0.002, respectively. Additionally, the QSAR analysis demonstrated that both compounds have respective pIC50 values of 4.82 and 4.74. Furthermore, the docking calculations demonstrated the remarkable efficacy of Usimine B (-7.3 kcal/mol) as an EGFR inhibitor of brain tumors. This compound exhibited five hydrogen bonds with the residues of Leu792, Met793, Asn842, Thr854, and Val843 in the active site of EGFR protein. A 200 ns molecular dynamic simulation demonstrated the stability of the Usimine B-EGFR complex compared to the reference complex (Gefitinib-EGFR). Furthermore, the thermodynamic calculations of the Usimine B-EGFR complex exhibited a binding affinity of -28.69± 3.50 kcal/mol for the EGFR protein. The results show that Usimine B has been identified as an inhibitor of brain cancer against EGFR protein. As part of the process of identifying and developing a novel medicine against brain cancer, more studies on in vitro and in vivo Usimine B is advised.
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spelling UMPir431502024-12-15T12:28:50Z http://umpir.ump.edu.my/id/eprint/43150/ Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective Roney, Miah Issahaku, Abdul Rashid Wilhelm, Anke Mohd Fadhlizil Fasihi, Mohd Aluwi HD Industries. Land use. Labor Brain cancer ranks 10th among cancer-related causes of death for patients worldwide. Medical chemists still have many challenges because of the high side effects, increasing tumor resistance, and low selectivity of new chemotherapeutic medications despite the enormous effort put out to extract, develop, and synthesize them. The anti-cancer potential of many natural substances has garnered significant research in the past few decades. This study's main goal is to discover the anti-cancer activity of Usimine A and Usimine B against the EGFR protein of brain cancer using the in-silico approaches. In this study, the biological features of Usimine A and Usimine B were determined using the PASS prediction tool, and the pIC50 value was predicted to know the activity of these compounds. Furthermore, molecular docking and dynamic simulations were performed to see the binding affinity and stability of the docking complexes. Usimine A and Usimine B have the PASS prediction score of 0.835<Pa<0.002 and 0.851<Pa<0.002, respectively. Additionally, the QSAR analysis demonstrated that both compounds have respective pIC50 values of 4.82 and 4.74. Furthermore, the docking calculations demonstrated the remarkable efficacy of Usimine B (-7.3 kcal/mol) as an EGFR inhibitor of brain tumors. This compound exhibited five hydrogen bonds with the residues of Leu792, Met793, Asn842, Thr854, and Val843 in the active site of EGFR protein. A 200 ns molecular dynamic simulation demonstrated the stability of the Usimine B-EGFR complex compared to the reference complex (Gefitinib-EGFR). Furthermore, the thermodynamic calculations of the Usimine B-EGFR complex exhibited a binding affinity of -28.69± 3.50 kcal/mol for the EGFR protein. The results show that Usimine B has been identified as an inhibitor of brain cancer against EGFR protein. As part of the process of identifying and developing a novel medicine against brain cancer, more studies on in vitro and in vivo Usimine B is advised. AMG Transcend Association 2024 Article PeerReviewed pdf en cc_by_4 http://umpir.ump.edu.my/id/eprint/43150/1/Identification%20of%20Potent%20New%20Brain%20Cancer%20EGFR%20Inhibitor%20from%20Usimine%20A%20and%20Usimine%20B%20-%20Computer-Aided%20Drug%20Design%20Perspective.pdf Roney, Miah and Issahaku, Abdul Rashid and Wilhelm, Anke and Mohd Fadhlizil Fasihi, Mohd Aluwi (2024) Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective. Letters in Applied NanoBioScience, 13 (4). pp. 1-12. ISSN 2284-6808. (Published) https://nanobioletters.com/wp-content/uploads/2024/09/LIANBS134.153.pdf
spellingShingle HD Industries. Land use. Labor
Roney, Miah
Issahaku, Abdul Rashid
Wilhelm, Anke
Mohd Fadhlizil Fasihi, Mohd Aluwi
Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective
title Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective
title_full Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective
title_fullStr Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective
title_full_unstemmed Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective
title_short Identification of potent new brain cancer EGFR inhibitor from usimine A and usimine B: computer-aided drug design perspective
title_sort identification of potent new brain cancer egfr inhibitor from usimine a and usimine b computer aided drug design perspective
topic HD Industries. Land use. Labor
url http://umpir.ump.edu.my/id/eprint/43150/1/Identification%20of%20Potent%20New%20Brain%20Cancer%20EGFR%20Inhibitor%20from%20Usimine%20A%20and%20Usimine%20B%20-%20Computer-Aided%20Drug%20Design%20Perspective.pdf
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