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

عنوان مقاله: Molecular Modeling Insights into Bioactivities of Head-to-Tail Cyclic Peptides: Potential Sedoheptulose-۷-Phosphate Isomerase Inhibitors
شناسه ملی مقاله: JR_AJCS-7-2_003
منتشر شده در در سال 1403
مشخصات نویسندگان مقاله:

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

خلاصه مقاله:
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.

کلمات کلیدی:
Peptides, Bioactive, Inhibitors, Modeling, Bacteria

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/1876532/