Molecular Modeling Insights into Bioactivities of Head-to-Tail Cyclic Peptides: Potential Sedoheptulose-۷-Phosphate Isomerase Inhibitors

  • سال انتشار: 1403
  • محل انتشار: نشریه پیشرفته شیمی، دوره: 7، شماره: 2
  • کد COI اختصاصی: JR_AJCS-7-2_003
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 137
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نویسندگان

Abel Oyebamiji

Department of Chemistry and Industrial Chemistry, Bowen University, Iwo, Osun State, Nigeria

Sunday Akintelu

School of Chemistry and Chemical Engineering, Beijing Institute of Technology, Beijing, China

Banjo Semire

Department of Pure and Applied Chemistry, Ladoke Akintola University of Technology, Ogbomoso, Oyo State, Nigeria

Adesoji Alani Olanrewaju

Department of Chemistry and Industrial Chemistry, Bowen University, Iwo, Osun State, Nigeria

Emmanuel T. Akintayo

Department of Chemistry, Ekiti State University, Ado-Ekiti, Nigeria

Cecillia O. Akintayo

Department of Chemistry, Federal University, Oye-Ekiti, Nigeria

Habibat Omolara Adubiaro

Department of Chemistry, Federal University, Oye-Ekiti, Nigeria

Oluwakemi Ebenezer

Department of Physics, University of Alberta, Edmonton, Canada

Jonathan O. Babalola

Department of Chemistry and Industrial Chemistry, Bowen University, Iwo, Osun State, Nigeria

چکیده

The biological activity and properties of fourteen cyclic peptides were investigated using in silico approach. The predicted features for the studied compounds using ۶-۳۱G* via Spartan ۱۴ software were lipophilicity, the highest occupied molecular orbital energy, the lowest occupied molecular orbital energy, HOMO/LUMO energy gap, dipole moment, molecular weight, and polar surface area. The descriptors obtained perfectly described the activities of the studied ligands. Likewise, the studied ligands were docked against sedoheptulose-۷-phosphate isomerase [PDB id: ۲x۳y] and it was observed that all the ligands examined in this work have higher binding affinity than the ceftazidime (referenced drug) except compound ۹ and ۱۲. The predicted compounds proved to have higher binding affinities than the referenced compound and these were further confirmed using molecular dynamic simulation as well as pharmacokinetics studies.

کلیدواژه ها

Peptides, Bioactive, Inhibitors, Modeling, Bacteria

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