Open Access
CC BY 4.0 · Eur J Dent 2022; 16(03): 643-647
DOI: 10.1055/s-0041-1736592
Original Article

In Silico Analysis of Glycosaminoglycan-Acemannan as a Scaffold Material on Alveolar Bone Healing

Sularsih Sularsih
1   Department of Dental Materials, Faculty of Dentistry, Universitas Hang Tuah, Surabaya, Indonesia
,
Dian Mulawarmanti
2   Department of Oral Biology, Faculty of Dentistry, Universitas Hang Tuah, Surabaya, Indonesia
,
Fitria Rahmitasari
1   Department of Dental Materials, Faculty of Dentistry, Universitas Hang Tuah, Surabaya, Indonesia
,
Siswandono Siswodihardjo
3   Department of Pharmaceutical Sciences, Faculty of Pharmacy, Universitas Airlangga, Surabaya, Indonesia
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Abstract

Objective This study aimed to analyze interaction between glycosaminoglycan-acemannan as a scaffold material and toll-like receptor-2 (TLR-2) receptor, which predicted the osteogenesis potency on alveolar bone healing (in silico analysis).

Materials and Methods Docking interaction between glycosaminoglycan-acemannan and TLR-2 receptor using the Molegro Virtual Docker (MVD) program. The compounds of glycosaminoglycan-acemannan and TLR-2 receptor with the structure in the form of two- and three-dimensional images were analyzed, as well as the most stable structure. It was observed the interaction of the ligand on the cavity of the TLR-2 receptor structure. The energy required for the ligand and receptor interaction (Moldock score) was calculated with MPD program.

Results The chemical structure shows that glycosaminoglycan-acemannan is capable binding to the TLR-2 receptor with hydrogen bonds and strong steric interaction. The docking results were detected for five cavities where the compound binds to the TLR-2 receptor. The Moldock score of the ligand on the CAS-LYS-LEU-ARG-LYS-ILE-MSE[A] ligand was −95,58 Kcal/mol, that of acemannan was −91,96 Kcal/mol, and for glycosaminoglycan −61,14 Kcal/mol.

Conclusion The compound of glycosaminoglycan-acemannan as a scaffold material is able to bind with a TLR-2 target receptor, which predicted osteogenesis activity on alveolar bone healing supported by in silico analysis.



Publikationsverlauf

Artikel online veröffentlicht:
22. April 2022

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