Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies-Reference-Cited by-同舟云学术

Structure-based approach: molecular insight of pyranocumarins against α-glucosidase through computational studies

Published:2023 Issue:6 Volume:13 Page:3438-3447
ISSN:2046-2069
Container-title:RSC Advances
language:en
Short-container-title:RSC Adv.

Author:

Abdjan Muhammad Ikhlas¹²,Aminah Nanik Siti²³^ORCID,Kristanti Alfinda Novi²³^ORCID,Siswanto Imam¹⁴,Ilham Baso²,Wardana Andika Pramudya¹²,Takaya Yoshiaki⁵

Affiliation:

1. Ph.D. Student of Mathematics and Natural Sciences, Faculty of Science and Technology, Universitas Airlangga, Komplek Kampus C UNAIR, Jl. Mulyorejo, 60115, Surabaya, Indonesia

2. Department of Chemistry, Faculty of Science and Technology, Universitas Airlangga, Surabaya 60115, Indonesia

3. Biotechnology of Tropical Medicinal Plants Research Group, Universitas Airlangga, Surabaya 60115, Indonesia

4. Bioinformatic Laboratory, UCoE Research Center for Bio-Molecule Engineering Universitas Airlangga, Surabaya, Indonesia

5. Faculty of Pharmacy, Meijo University, 150 Yagotoyama, Tempaku, Nagoya, 468-8503, Japan

Abstract

We presented the structure-based approach (molecular docking and MD simulation) to understand the dynamics behavior and inhibitory efficiency of pyranocoumarin derivatives against α-glucosidase at the molecular level.

Funder

Universitas Airlangga

Publisher

Royal Society of Chemistry (RSC)

Subject

General Chemical Engineering,General Chemistry

Link

http://pubs.rsc.org/en/content/articlepdf/2023/RA/D2RA07537G

Reference39 articles.

1. Structural Studies of the Intestinal α-Glucosidases, Maltase-glucoamylase and Sucrase-isomaltase

2. Management of diabetes and hyperglycaemia in the hospital

3. Crystal structures of isomaltase from Saccharomyces cerevisiae and in complex with its competitive inhibitor maltose

4. Re-exploring promising α-glucosidase inhibitors for potential development into oral anti-diabetic drugs: Finding needle in the haystack

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