Tanumoy Banerjee , Mohammad Basit Akram , Udit Choudhury , Ganesh Balasubramanian
{"title":"通过分子模拟预测HIV-1蛋白酶抑制剂利托那韦、XK-263和AHA-001的结合强度和解离动力学","authors":"Tanumoy Banerjee , Mohammad Basit Akram , Udit Choudhury , Ganesh Balasubramanian","doi":"10.1016/j.jmgm.2025.109110","DOIUrl":null,"url":null,"abstract":"<div><div>Protein-ligand interactions are essential in developing new drugs for targeted drug delivery. Ritonavir, XK263, and AHA001 are inhibitors that can bind to Human Immunodeficiency Virus-1 (HIV-1) protease to disrupt its enzymatic activity. However, various dynamic intracellular environments can develop a harmonic force, ultimately dissociating these ligands from the HIV-1 binding pocket, which are essential to study. Molecular dynamics (MD) simulations enable a platform to efficiently visualize and quantify the bound-unbound states of these ligand molecules in the presence of applied harmonic forces. We investigate the unbinding of Ritonavir, XK263, and AHA001 molecules from the HIV-1 protease dimer using an all-atom Steered Molecular Dynamics (SMD) simulation that induces an external stimulus as a constant harmonic force. The potential of mean force (PMF) calculations from the trajectories generated by SMD simulations show insights into the free energy landscape associated with the ligand's dissociation from HIV-1 protease, including the energetic barriers and favorable interactions involved in the process. Our results show that Ritonavir, a Food and Drug Administration (FDA), USA approved antiretroviral drug for HIV-1, has enhanced binding strength, followed by AHA001, which also shows a strong binding affinity comparable to many other FDA-approved drugs, as evidenced by the binding free energy calculations derived from Umbrella Sampling (US) simulations. The transient variations of corresponding protein-ligand interaction energies and calculations for hydrogen bond formation agree with the earlier findings. The predictions contribute to understanding how these three ligands can act as effective inhibitors for the HIV-1 viral protein.</div></div>","PeriodicalId":16361,"journal":{"name":"Journal of molecular graphics & modelling","volume":"140 ","pages":"Article 109110"},"PeriodicalIF":3.0000,"publicationDate":"2025-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Predicting binding strength and dissociation kinetics of HIV-1 protease inhibitors Ritonavir, XK-263, and AHA-001 by molecular simulations\",\"authors\":\"Tanumoy Banerjee , Mohammad Basit Akram , Udit Choudhury , Ganesh Balasubramanian\",\"doi\":\"10.1016/j.jmgm.2025.109110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>Protein-ligand interactions are essential in developing new drugs for targeted drug delivery. Ritonavir, XK263, and AHA001 are inhibitors that can bind to Human Immunodeficiency Virus-1 (HIV-1) protease to disrupt its enzymatic activity. However, various dynamic intracellular environments can develop a harmonic force, ultimately dissociating these ligands from the HIV-1 binding pocket, which are essential to study. Molecular dynamics (MD) simulations enable a platform to efficiently visualize and quantify the bound-unbound states of these ligand molecules in the presence of applied harmonic forces. We investigate the unbinding of Ritonavir, XK263, and AHA001 molecules from the HIV-1 protease dimer using an all-atom Steered Molecular Dynamics (SMD) simulation that induces an external stimulus as a constant harmonic force. The potential of mean force (PMF) calculations from the trajectories generated by SMD simulations show insights into the free energy landscape associated with the ligand's dissociation from HIV-1 protease, including the energetic barriers and favorable interactions involved in the process. Our results show that Ritonavir, a Food and Drug Administration (FDA), USA approved antiretroviral drug for HIV-1, has enhanced binding strength, followed by AHA001, which also shows a strong binding affinity comparable to many other FDA-approved drugs, as evidenced by the binding free energy calculations derived from Umbrella Sampling (US) simulations. The transient variations of corresponding protein-ligand interaction energies and calculations for hydrogen bond formation agree with the earlier findings. The predictions contribute to understanding how these three ligands can act as effective inhibitors for the HIV-1 viral protein.</div></div>\",\"PeriodicalId\":16361,\"journal\":{\"name\":\"Journal of molecular graphics & modelling\",\"volume\":\"140 \",\"pages\":\"Article 109110\"},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2025-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of molecular graphics & modelling\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S1093326325001706\",\"RegionNum\":4,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"BIOCHEMICAL RESEARCH METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of molecular graphics & modelling","FirstCategoryId":"99","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1093326325001706","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOCHEMICAL RESEARCH METHODS","Score":null,"Total":0}
Predicting binding strength and dissociation kinetics of HIV-1 protease inhibitors Ritonavir, XK-263, and AHA-001 by molecular simulations
Protein-ligand interactions are essential in developing new drugs for targeted drug delivery. Ritonavir, XK263, and AHA001 are inhibitors that can bind to Human Immunodeficiency Virus-1 (HIV-1) protease to disrupt its enzymatic activity. However, various dynamic intracellular environments can develop a harmonic force, ultimately dissociating these ligands from the HIV-1 binding pocket, which are essential to study. Molecular dynamics (MD) simulations enable a platform to efficiently visualize and quantify the bound-unbound states of these ligand molecules in the presence of applied harmonic forces. We investigate the unbinding of Ritonavir, XK263, and AHA001 molecules from the HIV-1 protease dimer using an all-atom Steered Molecular Dynamics (SMD) simulation that induces an external stimulus as a constant harmonic force. The potential of mean force (PMF) calculations from the trajectories generated by SMD simulations show insights into the free energy landscape associated with the ligand's dissociation from HIV-1 protease, including the energetic barriers and favorable interactions involved in the process. Our results show that Ritonavir, a Food and Drug Administration (FDA), USA approved antiretroviral drug for HIV-1, has enhanced binding strength, followed by AHA001, which also shows a strong binding affinity comparable to many other FDA-approved drugs, as evidenced by the binding free energy calculations derived from Umbrella Sampling (US) simulations. The transient variations of corresponding protein-ligand interaction energies and calculations for hydrogen bond formation agree with the earlier findings. The predictions contribute to understanding how these three ligands can act as effective inhibitors for the HIV-1 viral protein.
期刊介绍:
The Journal of Molecular Graphics and Modelling is devoted to the publication of papers on the uses of computers in theoretical investigations of molecular structure, function, interaction, and design. The scope of the journal includes all aspects of molecular modeling and computational chemistry, including, for instance, the study of molecular shape and properties, molecular simulations, protein and polymer engineering, drug design, materials design, structure-activity and structure-property relationships, database mining, and compound library design.
As a primary research journal, JMGM seeks to bring new knowledge to the attention of our readers. As such, submissions to the journal need to not only report results, but must draw conclusions and explore implications of the work presented. Authors are strongly encouraged to bear this in mind when preparing manuscripts. Routine applications of standard modelling approaches, providing only very limited new scientific insight, will not meet our criteria for publication. Reproducibility of reported calculations is an important issue. Wherever possible, we urge authors to enhance their papers with Supplementary Data, for example, in QSAR studies machine-readable versions of molecular datasets or in the development of new force-field parameters versions of the topology and force field parameter files. Routine applications of existing methods that do not lead to genuinely new insight will not be considered.