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dc.contributor.author Khusro, Ameer
dc.contributor.author Khayam Sahibzada, Muhammad Umar
dc.contributor.author Ullah Khan, Shafi
dc.contributor.author Rajakrishnan, R.
dc.contributor.author M.M.Y. Elghandour, Mona
dc.contributor.author Z.M. Salem, Abdelfattah
dc.contributor.author Kuppusamy, Palaniselvam
dc.contributor.author Alcala-Canto, Yazmin
dc.contributor.author N. Tirado-González, Deli
dc.date.accessioned 2022-09-01T02:52:26Z
dc.date.available 2022-09-01T02:52:26Z
dc.date.issued 2022-04-25
dc.identifier.issn 0737-0806
dc.identifier.uri http://hdl.handle.net/20.500.11799/113354
dc.description.abstract Greenhouse gases emission from livestock is the major concern for the ecosystem. Despite the lower contribution of non-ruminants towards greenhouse gas emission as compared to the ruminants, the emission of methane (CH4) gas from equines is expected to be increased in future due to its increasing population. Thus, it is essential to find or screen potential anti-methanogenic agent in a cost-effective and quicker manner. Considering this, the present investigation was aimed to analyze anti-methanogenic characteristic of bioactive compounds of safflower oil by targeting methanogenesis catalyzing enzyme (Methyl-coenzyme M reductase; MCR) via in silico tool. Initially, a total of 25 compounds associated with safflower oil were selected and their drug-likeness traits were predicted through Lipinski's rule of 5. Of 25 compounds, 9 compounds passed all the parameters of Lipinski's rule of five. These 9 ligands were further submitted for ADME traits analysis using Swiss ADME tool. Results revealed the absence of Lipinski's violation and approval of drug-likeness attributes of methyl tetradecanoate, 3-isopropyl-6-methylenecyclohex-1-ene, trans-2,4-decadienal, cis-6-nonenal, limonene, syringic acids, matairesinol, acacetin, and 2,5-octanedione. Molecular docking analysis was performed for analyzing the affinity between the selected 9 ligands and MCR receptor using FRED v3.2.0 from OpenEye Scientific Software and Discovery Studio client v16.1.0. Results showed maximum binding interaction of acacetin with MCR with the chemguass4 score of -13.35. Other ligands showed comparatively lower binding affinity in the order of matairesinol (-12.43) > methyl tetradecanoate (-9.25) > cis-6-nonenal (-7.88) > syringic acids (-7.73) > limonene (-7.18) > trans-2,4-decadienal (-7.07) > 3-isopropyl-6-methylenecyclohex-1-ene (-7.01) > 2,5-octanedione (-7.0.). In a nutshell, these identified compounds were observed as potential agents to reduce CH4 production from equines by targeting MCR. This in silico study emphasized the role of safflower-associated compounds in developing anti-methanogenic drug for equines in future. es
dc.language.iso eng es
dc.publisher Journal of Equine Veterinary Science es
dc.rights embargoedAccess es
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/4.0 es
dc.subject Anti-methanogenic agent EquinesIn silico Methanogenesis Methane Safflower oil es
dc.subject.classification CIENCIAS AGROPECUARIAS Y BIOTECNOLOGÍA es
dc.title Anti-Methanogenic Traits of Safflower Oil Compounds Against Methyl-Coenzyme M Reductase Receptor in Equines: An In Silico Docking Analysis es
dc.type Artículo es
dc.provenance Científica es
dc.road Dorada es
dc.organismo Medicina Veterinaria y Zootecnia es
dc.ambito Internacional es
dc.relation.vol 113
dc.relation.doi https://doi.org/10.1016/j.jevs.2022.103938


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  • Título
  • Anti-Methanogenic Traits of Safflower Oil Compounds Against Methyl-Coenzyme M Reductase Receptor in Equines: An In Silico Docking Analysis
  • Autor
  • Khusro, Ameer
  • Khayam Sahibzada, Muhammad Umar
  • Ullah Khan, Shafi
  • Rajakrishnan, R.
  • M.M.Y. Elghandour, Mona
  • Z.M. Salem, Abdelfattah
  • Kuppusamy, Palaniselvam
  • Alcala-Canto, Yazmin
  • N. Tirado-González, Deli
  • Fecha de publicación
  • 2022-04-25
  • Editor
  • Journal of Equine Veterinary Science
  • Tipo de documento
  • Artículo
  • Palabras clave
  • Anti-methanogenic agent EquinesIn silico Methanogenesis Methane Safflower oil
  • Los documentos depositados en el Repositorio Institucional de la Universidad Autónoma del Estado de México se encuentran a disposición en Acceso Abierto bajo la licencia Creative Commons: Atribución-NoComercial-SinDerivar 4.0 Internacional (CC BY-NC-ND 4.0)

Mostrar el registro sencillo del objeto digital

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