Idowu Olaposi Omotuyi Prof , Oyekanmi Nash Prof , Samuel Damilohun Metibemu Dr. , G. Chiamaka Iwegbulam , Olusina M. Olatunji , Emmanuel Agbebi , C. Olufunke Falade
{"title":"双氢青蒿素结合人PI3K-β亲和口袋并迫使P-loop MET783形成扁平构象:分子动力学研究","authors":"Idowu Olaposi Omotuyi Prof , Oyekanmi Nash Prof , Samuel Damilohun Metibemu Dr. , G. Chiamaka Iwegbulam , Olusina M. Olatunji , Emmanuel Agbebi , C. Olufunke Falade","doi":"10.1016/j.comtox.2023.100281","DOIUrl":null,"url":null,"abstract":"<div><p><span>Artemisinin and its semi-synthetic derivatives are not only indicated for malaria but also cancer, inflammatory and autoimmune diseases. Its inflammatory and immunosuppressive target is PI3K/AKT pathways. The structural and kinetic aspect of the PI3K inhibition was investigated in the current study using computational approaches. Binding energies of dihydroartemisinin (DHA) to p</span><sup>110</sup>-PI3K-β was computed using the MMPBSA method in comparison with the standard inhibitor (GD9). Kinetic parameter (<em>K<sub>on</sub>/K<sub>off</sub></em>) was also evaluated for the complexes using adaptive sampling protocols and Markov state model analysis. p<sup>110</sup>-PI3K- β dynamics and community network analysis were also performed following conventional Molecular dynamics simulation. The results showed −63.99 ± 1.53 and −74.14 ± 3.47 (<em>Kj/mol</em>) binding energies for DHA and GD9 respectively. <em>K<sub>on</sub>/K<sub>off</sub></em> estimates for DHA and GD9 are 12.4, and 2.13 (<em>M<sup>−1</sup></em>) respectively. Analysis of the trajectories showed that DHA selectively partitions into p<sup>110</sup>-PI3K- β affinity pocket, forces open conformation, and kept catalytic pocket-M783 in a flat conformation whilst forcing large displacement around the C2-domain. In conclusion, DHA is a high affinity (slow-binding, slow-dissociating), flat-conformation p<sup>110</sup>-PI3K- β inhibitor.</p></div>","PeriodicalId":37651,"journal":{"name":"Computational Toxicology","volume":"27 ","pages":"Article 100281"},"PeriodicalIF":3.1000,"publicationDate":"2023-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dihydroartemisinin binds human PI3K-β affinity pocket and forces flat conformation in P-loop MET783: A molecular dynamics study\",\"authors\":\"Idowu Olaposi Omotuyi Prof , Oyekanmi Nash Prof , Samuel Damilohun Metibemu Dr. , G. Chiamaka Iwegbulam , Olusina M. Olatunji , Emmanuel Agbebi , C. Olufunke Falade\",\"doi\":\"10.1016/j.comtox.2023.100281\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p><span>Artemisinin and its semi-synthetic derivatives are not only indicated for malaria but also cancer, inflammatory and autoimmune diseases. Its inflammatory and immunosuppressive target is PI3K/AKT pathways. The structural and kinetic aspect of the PI3K inhibition was investigated in the current study using computational approaches. Binding energies of dihydroartemisinin (DHA) to p</span><sup>110</sup>-PI3K-β was computed using the MMPBSA method in comparison with the standard inhibitor (GD9). Kinetic parameter (<em>K<sub>on</sub>/K<sub>off</sub></em>) was also evaluated for the complexes using adaptive sampling protocols and Markov state model analysis. p<sup>110</sup>-PI3K- β dynamics and community network analysis were also performed following conventional Molecular dynamics simulation. The results showed −63.99 ± 1.53 and −74.14 ± 3.47 (<em>Kj/mol</em>) binding energies for DHA and GD9 respectively. <em>K<sub>on</sub>/K<sub>off</sub></em> estimates for DHA and GD9 are 12.4, and 2.13 (<em>M<sup>−1</sup></em>) respectively. Analysis of the trajectories showed that DHA selectively partitions into p<sup>110</sup>-PI3K- β affinity pocket, forces open conformation, and kept catalytic pocket-M783 in a flat conformation whilst forcing large displacement around the C2-domain. In conclusion, DHA is a high affinity (slow-binding, slow-dissociating), flat-conformation p<sup>110</sup>-PI3K- β inhibitor.</p></div>\",\"PeriodicalId\":37651,\"journal\":{\"name\":\"Computational Toxicology\",\"volume\":\"27 \",\"pages\":\"Article 100281\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2023-08-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Toxicology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2468111323000221\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"TOXICOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Toxicology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2468111323000221","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TOXICOLOGY","Score":null,"Total":0}
Dihydroartemisinin binds human PI3K-β affinity pocket and forces flat conformation in P-loop MET783: A molecular dynamics study
Artemisinin and its semi-synthetic derivatives are not only indicated for malaria but also cancer, inflammatory and autoimmune diseases. Its inflammatory and immunosuppressive target is PI3K/AKT pathways. The structural and kinetic aspect of the PI3K inhibition was investigated in the current study using computational approaches. Binding energies of dihydroartemisinin (DHA) to p110-PI3K-β was computed using the MMPBSA method in comparison with the standard inhibitor (GD9). Kinetic parameter (Kon/Koff) was also evaluated for the complexes using adaptive sampling protocols and Markov state model analysis. p110-PI3K- β dynamics and community network analysis were also performed following conventional Molecular dynamics simulation. The results showed −63.99 ± 1.53 and −74.14 ± 3.47 (Kj/mol) binding energies for DHA and GD9 respectively. Kon/Koff estimates for DHA and GD9 are 12.4, and 2.13 (M−1) respectively. Analysis of the trajectories showed that DHA selectively partitions into p110-PI3K- β affinity pocket, forces open conformation, and kept catalytic pocket-M783 in a flat conformation whilst forcing large displacement around the C2-domain. In conclusion, DHA is a high affinity (slow-binding, slow-dissociating), flat-conformation p110-PI3K- β inhibitor.
期刊介绍:
Computational Toxicology is an international journal publishing computational approaches that assist in the toxicological evaluation of new and existing chemical substances assisting in their safety assessment. -All effects relating to human health and environmental toxicity and fate -Prediction of toxicity, metabolism, fate and physico-chemical properties -The development of models from read-across, (Q)SARs, PBPK, QIVIVE, Multi-Scale Models -Big Data in toxicology: integration, management, analysis -Implementation of models through AOPs, IATA, TTC -Regulatory acceptance of models: evaluation, verification and validation -From metals, to small organic molecules to nanoparticles -Pharmaceuticals, pesticides, foods, cosmetics, fine chemicals -Bringing together the views of industry, regulators, academia, NGOs