Investigating the potential compounds of Kalanchoe pinnata plant for the treatment of inflammation utilizing molecular docking and molecular dynamic simulation approach

Targeting cyclooxygenase-2 (COX-2) in therapeutic treatments is essential since it is a critical enzyme implicated in the inflammatory response. The goal of the research is to find tiny compounds that resemble natural medicinal possibilities that can reduce inflammation. Using extensive in silico drug design methods, such as molecular docking, physicochemical properties, and molecular dynamics (MD) modelling, we screened 78 phytocompounds that were taken from the IMPPAT database and isolated from Kalanchoe pinnata. After evaluating these drugs' binding affinities against COX-2 by molecular docking modelling, two interesting candidates were chosen for more investigation. After being evaluated for their physicochemical characteristics, these chosen compounds outperformed a reference substance. The stability of the protein-ligand complexes was next investigated using molecular dynamic simulations, which verified that IMPHY004388 and IMPHY004619 continued to have stable interactions with the COX-2 binding site. The amalgamated outcomes of molecular docking, physicochemical analysis, and MD simulations indicate that these two compounds have promise as prospective COX-2-targeting anti-inflammatory medicines.

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Publication Details

Journal
In Silico Research in Biomedicine
Published
2025-01-01
DOI
https://doi.org/10.1016/j.insi.2025.100007
Citations
5
Primary Topic
Natural Antidiabetic Agents Studies
Type
article
Field-Weighted Citation Impact
6.47
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article

Investigating the potential compounds of Kalanchoe pinnata plant for the treatment of inflammation utilizing molecular docking and molecular dynamic simulation approach

Md. Nazim Uddin, Abdul Rashid Issahaku, Mohd Fadhlizil Fasihi Mohd Aluwi, Miah Roney et al.
5 citations
In Silico Research in Biomedicine
Natural Antidiabetic Agents Studies
6.47
article

Investigating the potential compounds of Kalanchoe pinnata plant for the treatment of inflammation utilizing molecular docking and molecular dynamic simulation approach

Md. Nazim Uddin, Abdul Rashid Issahaku, Mohd Fadhlizil Fasihi Mohd Aluwi, Miah Roney, Nor Adila Binti Mhd Omar, S. M. Istiaque Hamim, Kazi Sneha Chhando
article en
5 citations

Abstract

Targeting cyclooxygenase-2 (COX-2) in therapeutic treatments is essential since it is a critical enzyme implicated in the inflammatory response. The goal of the research is to find tiny compounds that resemble natural medicinal possibilities that can reduce inflammation. Using extensive in silico drug design methods, such as molecular docking, physicochemical properties, and molecular dynamics (MD) modelling, we screened 78 phytocompounds that were taken from the IMPPAT database and isolated from Kalanchoe pinnata. After evaluating these drugs' binding affinities against COX-2 by molecular docking modelling, two interesting candidates were chosen for more investigation. After being evaluated for their physicochemical characteristics, these chosen compounds outperformed a reference substance. The stability of the protein-ligand complexes was next investigated using molecular dynamic simulations, which verified that IMPHY004388 and IMPHY004619 continued to have stable interactions with the COX-2 binding site. The amalgamated outcomes of molecular docking, physicochemical analysis, and MD simulations indicate that these two compounds have promise as prospective COX-2-targeting anti-inflammatory medicines.

In Silico Research in BiomedicineVol. 1
Universiti Malaysia Pahang Al-Sultan Abdullah (MY), Bangladesh Council of Scientific and Industrial Research (BD), University of the Free State (ZA)
Openalex Percentile: Top 3%
Natural Antidiabetic Agents Studies
6.47
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Investigating the potential compounds of Kalanchoe pinnata plant for the treatment of inflammation utilizing molecular docking and molecular dynamic simulation approach — Md. Nazim Uddin, Abdul Rashid Issahaku, et al. · In Silico Research in Biomedicine (2025) | TGRS Research Map | TGRS