Mohammad Y. Alshahrani , Ariha Zaid , Muath Suliman , Shamsa Bibi , Shabbir Muhammad , Shafiq urRehman
{"title":"In-silico discovery of efficient second-generation drug derivatives with enhanced antihistamine potency and selectivity","authors":"Mohammad Y. Alshahrani , Ariha Zaid , Muath Suliman , Shamsa Bibi , Shabbir Muhammad , Shafiq urRehman","doi":"10.1016/j.compbiolchem.2024.108340","DOIUrl":null,"url":null,"abstract":"<div><div>The current study focuses on the potential of second-generation antihistamines, which exhibit fewer side effects compared to first-generation drugs, to block the Histamine H<sub>1</sub> receptor (H<sub>1</sub>R) and mitigate allergic responses. We screened several derivatives of second-generation drugs taking Desloratadine (Deslo) and Acrivastine (Acra) as seed compounds. We performed molecular docking, drug-likeness, quantum chemical calculations, UV–visible and infrared spectroscopy, molecular electrostatic potential (MEP) mapping for understanding drug derivatives potential as efficient drugs and molecular dynamics (MD). The results depicted that among all <strong>Deslo1</strong> showed best binding energy of −8.6 kcal/mol and best inhibition constant too. Moreover, LEU157 formed a conventional hydrogen bond with a ligand at distance of 2.51 Å in <strong>Deslo1</strong>. <strong>Deslo2</strong> showed 95.2 % intestinal absorption which is quite good. None of the drugs showed any toxicity. The residues from catalytic site like Phe 116, Leu 154 and Leu 157 showed reasonably small fluctuations owing to their interactions with respective ligands. The RMSDs of <strong>Acra1</strong> and <strong>Deslo2</strong> mostly stay within 1Å range. For MD simulations best docked compounds (<strong>Acra1</strong>, <strong>Acra2</strong>, <strong>Deslo1</strong> and <strong>Deslo2</strong>) were chosen and carried for 120 ns (120 ×10<sup>6</sup> fs). MD simulations trajectory is analyzed for the assessment of some important parameters like RMSD, RMSF, SASA, and RG. Moreover, ADMET analysis are performed to confirm their drug-like properties. The molecular geometries of <strong>Acra2</strong> are optimized in gas phase as well as water solvent environments to simulate aqueous like conditions for optimized geometries. Significant differences are observed in the bond lengths and angles especially for polar functional groups, due to the solvation of hydrogen-bond donors and acceptors. The current study identify new therapeutic candidates for managing allergic rhinitis, which may evoke the scientific interests of scientists through in-vivo testing of hit drugs that were not explored previously.</div></div>","PeriodicalId":10616,"journal":{"name":"Computational Biology and Chemistry","volume":"115 ","pages":"Article 108340"},"PeriodicalIF":2.6000,"publicationDate":"2025-01-03","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/S1476927124003281","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
The current study focuses on the potential of second-generation antihistamines, which exhibit fewer side effects compared to first-generation drugs, to block the Histamine H1 receptor (H1R) and mitigate allergic responses. We screened several derivatives of second-generation drugs taking Desloratadine (Deslo) and Acrivastine (Acra) as seed compounds. We performed molecular docking, drug-likeness, quantum chemical calculations, UV–visible and infrared spectroscopy, molecular electrostatic potential (MEP) mapping for understanding drug derivatives potential as efficient drugs and molecular dynamics (MD). The results depicted that among all Deslo1 showed best binding energy of −8.6 kcal/mol and best inhibition constant too. Moreover, LEU157 formed a conventional hydrogen bond with a ligand at distance of 2.51 Å in Deslo1. Deslo2 showed 95.2 % intestinal absorption which is quite good. None of the drugs showed any toxicity. The residues from catalytic site like Phe 116, Leu 154 and Leu 157 showed reasonably small fluctuations owing to their interactions with respective ligands. The RMSDs of Acra1 and Deslo2 mostly stay within 1Å range. For MD simulations best docked compounds (Acra1, Acra2, Deslo1 and Deslo2) were chosen and carried for 120 ns (120 ×106 fs). MD simulations trajectory is analyzed for the assessment of some important parameters like RMSD, RMSF, SASA, and RG. Moreover, ADMET analysis are performed to confirm their drug-like properties. The molecular geometries of Acra2 are optimized in gas phase as well as water solvent environments to simulate aqueous like conditions for optimized geometries. Significant differences are observed in the bond lengths and angles especially for polar functional groups, due to the solvation of hydrogen-bond donors and acceptors. The current study identify new therapeutic candidates for managing allergic rhinitis, which may evoke the scientific interests of scientists through in-vivo testing of hit drugs that were not explored previously.
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.