Reda EL-Mernissi, Marwa Alaqarbeh, Ayoub Khaldan, Mohammed Kara, Omkulthom Al kamaly, Anwar M. Alnakhli, Tahar Lakhlifi, Abdelouahid Sbai, Mohammed Aziz Ajana, Mohammed Bouachrine
{"title":"针对乳腺癌的新型苯乙烯喹啉衍生物的三维-QSAR、分子对接、ADMET、模拟动态和逆合成研究","authors":"Reda EL-Mernissi, Marwa Alaqarbeh, Ayoub Khaldan, Mohammed Kara, Omkulthom Al kamaly, Anwar M. Alnakhli, Tahar Lakhlifi, Abdelouahid Sbai, Mohammed Aziz Ajana, Mohammed Bouachrine","doi":"10.1515/chem-2024-0041","DOIUrl":null,"url":null,"abstract":"Breast cancer is the most common illness among women, accounting for 25% of all diagnoses, as stated by the American Cancer Society. Current research focuses on 43 compounds of styrylquinoline derivatives as potential inhibitors of tubulin to design a new drug that could potentially be effective against breast cancer cells in humans. The target compounds were subjected to a three-dimensional quantitative structure-activity relationship/comparative molecular similarity indices analysis (CoMSIA) approach, where CoMSIA models were used; the best results obtained are (<jats:italic>Q</jats:italic> <jats:sup>2</jats:sup> = 0.84, <jats:italic>R</jats:italic> <jats:sup>2</jats:sup> = 0.97, <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\"http://www.w3.org/1999/xlink\" xlink:href=\"graphic/j_chem-2024-0041_eq_001.png\"/> <m:math xmlns:m=\"http://www.w3.org/1998/Math/MathML\"> <m:msubsup> <m:mrow> <m:mi>r</m:mi> </m:mrow> <m:mrow> <m:mtext>ext</m:mtext> </m:mrow> <m:mrow> <m:mn>2</m:mn> </m:mrow> </m:msubsup> </m:math> <jats:tex-math>{r}_{\\text{ext}}^{2}</jats:tex-math> </jats:alternatives> </jats:inline-formula> = 0.91), H-bond acceptor field was discovered to be important for increasing inhibitory activity by examining the contour maps (54%), and it plays a key role in the prediction of anticancer activity. Based on the contour maps of the CoMSIA models, we obtained information that allows us to propose four new molecules with higher cancer inhibitory than the 43 compounds found in the literature. The molecular docking was applied to determine the likely types of binding between the tubulin protein (PDB ID: 4O2B) and the proposed compounds, and the results show that M1 has a higher total score of 6.53 and two interactions with important conventional hydrogen bond type, followed by compound M2 with a total score of 5.74. Furthermore, the designed molecules showed better pharmacokinetic properties based on absorption, distribution, metabolism, excretion, and toxicity properties. Molecular dynamics simulations at 100 ns were conducted to confirm the binding stability of the selected ligands (M1 and M2) with tubulin protein. The simulation parameters used in the current study are root mean square deviation, root mean square fluctuation, H-bond, Rg, solvent accessible surface area, and binding energy. As a result, the designed compounds (ligands M1 and M2) have shown noteworthy potential as a drug candidate for experimental <jats:italic>in vivo</jats:italic> and <jats:italic>in vitro</jats:italic> testing due to their potential inhibition of breast cancer. Finally, the study of retrosynthesis in this work facilitates the synthesis of drug candidates.","PeriodicalId":19520,"journal":{"name":"Open Chemistry","volume":"27 1","pages":""},"PeriodicalIF":2.1000,"publicationDate":"2024-06-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"3D-QSAR, molecular docking, ADMET, simulation dynamic, and retrosynthesis studies on new styrylquinolines derivatives against breast cancer\",\"authors\":\"Reda EL-Mernissi, Marwa Alaqarbeh, Ayoub Khaldan, Mohammed Kara, Omkulthom Al kamaly, Anwar M. Alnakhli, Tahar Lakhlifi, Abdelouahid Sbai, Mohammed Aziz Ajana, Mohammed Bouachrine\",\"doi\":\"10.1515/chem-2024-0041\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Breast cancer is the most common illness among women, accounting for 25% of all diagnoses, as stated by the American Cancer Society. Current research focuses on 43 compounds of styrylquinoline derivatives as potential inhibitors of tubulin to design a new drug that could potentially be effective against breast cancer cells in humans. The target compounds were subjected to a three-dimensional quantitative structure-activity relationship/comparative molecular similarity indices analysis (CoMSIA) approach, where CoMSIA models were used; the best results obtained are (<jats:italic>Q</jats:italic> <jats:sup>2</jats:sup> = 0.84, <jats:italic>R</jats:italic> <jats:sup>2</jats:sup> = 0.97, <jats:inline-formula> <jats:alternatives> <jats:inline-graphic xmlns:xlink=\\\"http://www.w3.org/1999/xlink\\\" xlink:href=\\\"graphic/j_chem-2024-0041_eq_001.png\\\"/> <m:math xmlns:m=\\\"http://www.w3.org/1998/Math/MathML\\\"> <m:msubsup> <m:mrow> <m:mi>r</m:mi> </m:mrow> <m:mrow> <m:mtext>ext</m:mtext> </m:mrow> <m:mrow> <m:mn>2</m:mn> </m:mrow> </m:msubsup> </m:math> <jats:tex-math>{r}_{\\\\text{ext}}^{2}</jats:tex-math> </jats:alternatives> </jats:inline-formula> = 0.91), H-bond acceptor field was discovered to be important for increasing inhibitory activity by examining the contour maps (54%), and it plays a key role in the prediction of anticancer activity. Based on the contour maps of the CoMSIA models, we obtained information that allows us to propose four new molecules with higher cancer inhibitory than the 43 compounds found in the literature. The molecular docking was applied to determine the likely types of binding between the tubulin protein (PDB ID: 4O2B) and the proposed compounds, and the results show that M1 has a higher total score of 6.53 and two interactions with important conventional hydrogen bond type, followed by compound M2 with a total score of 5.74. Furthermore, the designed molecules showed better pharmacokinetic properties based on absorption, distribution, metabolism, excretion, and toxicity properties. Molecular dynamics simulations at 100 ns were conducted to confirm the binding stability of the selected ligands (M1 and M2) with tubulin protein. The simulation parameters used in the current study are root mean square deviation, root mean square fluctuation, H-bond, Rg, solvent accessible surface area, and binding energy. As a result, the designed compounds (ligands M1 and M2) have shown noteworthy potential as a drug candidate for experimental <jats:italic>in vivo</jats:italic> and <jats:italic>in vitro</jats:italic> testing due to their potential inhibition of breast cancer. 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3D-QSAR, molecular docking, ADMET, simulation dynamic, and retrosynthesis studies on new styrylquinolines derivatives against breast cancer
Breast cancer is the most common illness among women, accounting for 25% of all diagnoses, as stated by the American Cancer Society. Current research focuses on 43 compounds of styrylquinoline derivatives as potential inhibitors of tubulin to design a new drug that could potentially be effective against breast cancer cells in humans. The target compounds were subjected to a three-dimensional quantitative structure-activity relationship/comparative molecular similarity indices analysis (CoMSIA) approach, where CoMSIA models were used; the best results obtained are (Q2 = 0.84, R2 = 0.97, rext2{r}_{\text{ext}}^{2} = 0.91), H-bond acceptor field was discovered to be important for increasing inhibitory activity by examining the contour maps (54%), and it plays a key role in the prediction of anticancer activity. Based on the contour maps of the CoMSIA models, we obtained information that allows us to propose four new molecules with higher cancer inhibitory than the 43 compounds found in the literature. The molecular docking was applied to determine the likely types of binding between the tubulin protein (PDB ID: 4O2B) and the proposed compounds, and the results show that M1 has a higher total score of 6.53 and two interactions with important conventional hydrogen bond type, followed by compound M2 with a total score of 5.74. Furthermore, the designed molecules showed better pharmacokinetic properties based on absorption, distribution, metabolism, excretion, and toxicity properties. Molecular dynamics simulations at 100 ns were conducted to confirm the binding stability of the selected ligands (M1 and M2) with tubulin protein. The simulation parameters used in the current study are root mean square deviation, root mean square fluctuation, H-bond, Rg, solvent accessible surface area, and binding energy. As a result, the designed compounds (ligands M1 and M2) have shown noteworthy potential as a drug candidate for experimental in vivo and in vitro testing due to their potential inhibition of breast cancer. Finally, the study of retrosynthesis in this work facilitates the synthesis of drug candidates.
期刊介绍:
Open Chemistry is a peer-reviewed, open access journal that publishes original research, reviews and short communications in the fields of chemistry in an ongoing way. The central goal is to provide a hub for researchers working across all subjects to present their discoveries, and to be a forum for the discussion of the important issues in the field. The journal is the premier source for cutting edge research in fundamental chemistry and it provides high quality peer review services for its authors across the world. Moreover, it allows for libraries everywhere to avoid subscribing to multiple local publications, and to receive instead all the necessary chemistry research from a single source available to the entire scientific community.