Madiha Sardar , Nadeem Ahmad , Muhammad Huzaifa , Mamoona Mushtaq , Mohammad Nur-e-Alam , Pinghua Sun , Zaheer Ul-Haq
{"title":"m -三氟甲基二苯二烯与μ-阿片受体结合的分子动力学研究:吗啡诱导耐受的计算视角","authors":"Madiha Sardar , Nadeem Ahmad , Muhammad Huzaifa , Mamoona Mushtaq , Mohammad Nur-e-Alam , Pinghua Sun , Zaheer Ul-Haq","doi":"10.1016/j.compbiolchem.2025.108659","DOIUrl":null,"url":null,"abstract":"<div><div>Chronic pain is a maladaptive state where pain signals persist beyond the expected resolution of injury or illness. Morphine and related compounds, acting as µ-opioid receptor (µOR) agonists, are effective analgesics for managing this condition. However, chronic morphine administration can disrupt µOR trafficking and activate β-arrestin-mediated pathways, leading to opioid tolerance. The role of µOR in mood disorders is less well-defined. The organoselenium compound <em>m</em>-trifluoromethyl diphenyl diselenide (TFDD) has shown promising antinociceptive and antidepressant-like effects in experimental models and attenuated morphine withdrawal symptoms in mice.<sup>1</sup> However, the molecular mechanisms governing TFDD's interaction with the µOR at the atomic level remain unexplored through theoretical methodologies. To bridge this knowledge gap, the current research sought to characterize the pharmacological profile of TFDD using an integrated computational approach that included quantum chemical calculations, molecular dynamics simulations, and thermodynamic analysis. The simulations revealed the formation of persistent halogen bonds between TFDD's trichlorobenzene moiety and specific residues within the µOR binding pocket, namely Gln124<sup>2.60</sup> and Glu299<sup>5.58</sup> with bond distances of 2.83 and 3.73 Å respectively. These interactions, spanning transmembrane helices 2 through 5 (TM2-TM5), contribute to the stabilization of TFDD within the receptor's binding site. Notably, key microswitch residues, such as Asp147<sup>3.32</sup>, Met151<sup>3.36</sup>, and Trp293<sup>6.48</sup>, which are critical for maintaining the µOR active conformation and modulating β-arrestin signaling, were observed to interact with TFDD. These conformational dynamics subsequently influence the G protein-biased activation of the µOR. To examine the conformational space of the µOR bound to TFDD and the morphinan agonist BU72, principal component analysis was used to determine the leading modes of motion. Subsequently, free energy landscapes were constructed to identify energetically favorable conformational states and the transitions between them, providing insights into the thermodynamic behavior of the µOR-ligand bound complexes. Furthermore, dynamic cross-correlation matrix analysis was performed to evaluate differences in the correlated motions of µOR residues upon binding of BU72 and TFDD. Alchemical free energy calculations, utilizing thermodynamic integration across various λ states, were employed to quantitatively estimate the binding affinities of both ligands TFDD and BU72. The calculated total binding free energy values were −42.54 ± 1.92 kJ/mol for TFDD and −39.76 ± 0.74 kJ/mol for BU72. This computational study elucidates the molecular basis of TFDD's interaction with µOR, integrating experimental data with atomic-level modeling. This enhances our understanding of TFDD's potential to reduce morphine tolerance, improve pain relief, and minimize side effects, ultimately informing the development of better opioid-based pain management strategies.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"120 ","pages":"Article 108659"},"PeriodicalIF":3.1000,"publicationDate":"2025-08-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Molecular dynamics study of M-Trifluoromethyl diphenyl diselenide binding to the μ-opioid receptor: A computational perspective on morphine-induced tolerance\",\"authors\":\"Madiha Sardar , Nadeem Ahmad , Muhammad Huzaifa , Mamoona Mushtaq , Mohammad Nur-e-Alam , Pinghua Sun , Zaheer Ul-Haq\",\"doi\":\"10.1016/j.compbiolchem.2025.108659\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Chronic pain is a maladaptive state where pain signals persist beyond the expected resolution of injury or illness. Morphine and related compounds, acting as µ-opioid receptor (µOR) agonists, are effective analgesics for managing this condition. However, chronic morphine administration can disrupt µOR trafficking and activate β-arrestin-mediated pathways, leading to opioid tolerance. The role of µOR in mood disorders is less well-defined. The organoselenium compound <em>m</em>-trifluoromethyl diphenyl diselenide (TFDD) has shown promising antinociceptive and antidepressant-like effects in experimental models and attenuated morphine withdrawal symptoms in mice.<sup>1</sup> However, the molecular mechanisms governing TFDD's interaction with the µOR at the atomic level remain unexplored through theoretical methodologies. To bridge this knowledge gap, the current research sought to characterize the pharmacological profile of TFDD using an integrated computational approach that included quantum chemical calculations, molecular dynamics simulations, and thermodynamic analysis. The simulations revealed the formation of persistent halogen bonds between TFDD's trichlorobenzene moiety and specific residues within the µOR binding pocket, namely Gln124<sup>2.60</sup> and Glu299<sup>5.58</sup> with bond distances of 2.83 and 3.73 Å respectively. These interactions, spanning transmembrane helices 2 through 5 (TM2-TM5), contribute to the stabilization of TFDD within the receptor's binding site. Notably, key microswitch residues, such as Asp147<sup>3.32</sup>, Met151<sup>3.36</sup>, and Trp293<sup>6.48</sup>, which are critical for maintaining the µOR active conformation and modulating β-arrestin signaling, were observed to interact with TFDD. These conformational dynamics subsequently influence the G protein-biased activation of the µOR. To examine the conformational space of the µOR bound to TFDD and the morphinan agonist BU72, principal component analysis was used to determine the leading modes of motion. Subsequently, free energy landscapes were constructed to identify energetically favorable conformational states and the transitions between them, providing insights into the thermodynamic behavior of the µOR-ligand bound complexes. Furthermore, dynamic cross-correlation matrix analysis was performed to evaluate differences in the correlated motions of µOR residues upon binding of BU72 and TFDD. Alchemical free energy calculations, utilizing thermodynamic integration across various λ states, were employed to quantitatively estimate the binding affinities of both ligands TFDD and BU72. The calculated total binding free energy values were −42.54 ± 1.92 kJ/mol for TFDD and −39.76 ± 0.74 kJ/mol for BU72. This computational study elucidates the molecular basis of TFDD's interaction with µOR, integrating experimental data with atomic-level modeling. This enhances our understanding of TFDD's potential to reduce morphine tolerance, improve pain relief, and minimize side effects, ultimately informing the development of better opioid-based pain management strategies.</div></div>\",\"PeriodicalId\":10616,\"journal\":{\"name\":\"Computational Biology and Chemistry\",\"volume\":\"120 \",\"pages\":\"Article 108659\"},\"PeriodicalIF\":3.1000,\"publicationDate\":\"2025-08-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Computational Biology and Chemistry\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1476927125003202\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Computational Biology and Chemistry","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1476927125003202","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
Molecular dynamics study of M-Trifluoromethyl diphenyl diselenide binding to the μ-opioid receptor: A computational perspective on morphine-induced tolerance
Chronic pain is a maladaptive state where pain signals persist beyond the expected resolution of injury or illness. Morphine and related compounds, acting as µ-opioid receptor (µOR) agonists, are effective analgesics for managing this condition. However, chronic morphine administration can disrupt µOR trafficking and activate β-arrestin-mediated pathways, leading to opioid tolerance. The role of µOR in mood disorders is less well-defined. The organoselenium compound m-trifluoromethyl diphenyl diselenide (TFDD) has shown promising antinociceptive and antidepressant-like effects in experimental models and attenuated morphine withdrawal symptoms in mice.1 However, the molecular mechanisms governing TFDD's interaction with the µOR at the atomic level remain unexplored through theoretical methodologies. To bridge this knowledge gap, the current research sought to characterize the pharmacological profile of TFDD using an integrated computational approach that included quantum chemical calculations, molecular dynamics simulations, and thermodynamic analysis. The simulations revealed the formation of persistent halogen bonds between TFDD's trichlorobenzene moiety and specific residues within the µOR binding pocket, namely Gln1242.60 and Glu2995.58 with bond distances of 2.83 and 3.73 Å respectively. These interactions, spanning transmembrane helices 2 through 5 (TM2-TM5), contribute to the stabilization of TFDD within the receptor's binding site. Notably, key microswitch residues, such as Asp1473.32, Met1513.36, and Trp2936.48, which are critical for maintaining the µOR active conformation and modulating β-arrestin signaling, were observed to interact with TFDD. These conformational dynamics subsequently influence the G protein-biased activation of the µOR. To examine the conformational space of the µOR bound to TFDD and the morphinan agonist BU72, principal component analysis was used to determine the leading modes of motion. Subsequently, free energy landscapes were constructed to identify energetically favorable conformational states and the transitions between them, providing insights into the thermodynamic behavior of the µOR-ligand bound complexes. Furthermore, dynamic cross-correlation matrix analysis was performed to evaluate differences in the correlated motions of µOR residues upon binding of BU72 and TFDD. Alchemical free energy calculations, utilizing thermodynamic integration across various λ states, were employed to quantitatively estimate the binding affinities of both ligands TFDD and BU72. The calculated total binding free energy values were −42.54 ± 1.92 kJ/mol for TFDD and −39.76 ± 0.74 kJ/mol for BU72. This computational study elucidates the molecular basis of TFDD's interaction with µOR, integrating experimental data with atomic-level modeling. This enhances our understanding of TFDD's potential to reduce morphine tolerance, improve pain relief, and minimize side effects, ultimately informing the development of better opioid-based pain management strategies.
期刊介绍:
Computational Biology and Chemistry publishes original research papers and review articles in all areas of computational life sciences. High quality research contributions with a major computational component in the areas of nucleic acid and protein sequence research, molecular evolution, molecular genetics (functional genomics and proteomics), theory and practice of either biology-specific or chemical-biology-specific modeling, and structural biology of nucleic acids and proteins are particularly welcome. Exceptionally high quality research work in bioinformatics, systems biology, ecology, computational pharmacology, metabolism, biomedical engineering, epidemiology, and statistical genetics will also be considered.
Given their inherent uncertainty, protein modeling and molecular docking studies should be thoroughly validated. In the absence of experimental results for validation, the use of molecular dynamics simulations along with detailed free energy calculations, for example, should be used as complementary techniques to support the major conclusions. Submissions of premature modeling exercises without additional biological insights will not be considered.
Review articles will generally be commissioned by the editors and should not be submitted to the journal without explicit invitation. However prospective authors are welcome to send a brief (one to three pages) synopsis, which will be evaluated by the editors.