Design and Synthesis of Linear Acetamides as Cholesterol Lowering Agents

Objective: In the present work, an attempt has been made to mimic Ezetimibe with the design of flexible linear acetamides bearing amino, oxy, and thio groups in beta position as cholesterol absorption inhibitors. Methods: Compounds (I–VII) were prepared and analyzed for cholesterol lowering activity in vivo by determining total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG). Results and Discussion: Among the acetamides prepared, compound (III) (total cholesterol: 137.5; triglycerides: 93.8; HDL: 55.2; LDL: 81; VLDL: 17.8), and compound (VI) (total cholesterol: 134.1; triglycerides: 92.3; HDL: 51.8; LDL: 76.5; VLDL: 17.3) showed excellent in vivo cholesterol lowering activity when compared to all other compounds and even better activity than the standard drug atorvastatin (total cholesterol: 141.7; triglycerides: 95.3; HDL: 57.5; LDL: 83.2; VLDL: 19.5). As a reflection of the cholesterol lowering activities, Wistar albino rats treated with (III) and (VI) showed a maximum decrease in their body weights, 260.4 and 256.3 g respectively, when compared to all other prepared compounds as well as the standard drug (270.7 g). All the synthesized compounds along with the Ezetimibe were docked with the target enzyme Niemann-Pick C1-like1 (NPC1L1) protein (PDB ID: 3QNT), performed by AutoDock 4.0 tool. Conclusions: The molecular docking analysis demonstrated that (III) –4.92 kcal/mol and (VI) –5.36 kcal/mol achieved the highest binding affinity scores with good hydrogen bonds and hydrophobic interactions, all contributed to the stabilization of the compounds at the protein’s target site.

Authors

Institutions

Publication Details

Journal
Russian Journal of Bioorganic Chemistry
Published
2024-10-01
DOI
https://doi.org/10.1134/s106816202405008x
Primary Topic
Computational Drug Discovery Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Design and Synthesis of Linear Acetamides as Cholesterol Lowering Agents

Sangeetha Murugan Sreedevi, Aathi Muthusankar, Jaganathan Anitha
Russian Journal of Bioorganic Chemistry
Computational Drug Discovery Methods
article

Design and Synthesis of Linear Acetamides as Cholesterol Lowering Agents

Sangeetha Murugan Sreedevi, Aathi Muthusankar, Jaganathan Anitha
article en

Abstract

Objective: In the present work, an attempt has been made to mimic Ezetimibe with the design of flexible linear acetamides bearing amino, oxy, and thio groups in beta position as cholesterol absorption inhibitors. Methods: Compounds (I–VII) were prepared and analyzed for cholesterol lowering activity in vivo by determining total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglyceride (TG). Results and Discussion: Among the acetamides prepared, compound (III) (total cholesterol: 137.5; triglycerides: 93.8; HDL: 55.2; LDL: 81; VLDL: 17.8), and compound (VI) (total cholesterol: 134.1; triglycerides: 92.3; HDL: 51.8; LDL: 76.5; VLDL: 17.3) showed excellent in vivo cholesterol lowering activity when compared to all other compounds and even better activity than the standard drug atorvastatin (total cholesterol: 141.7; triglycerides: 95.3; HDL: 57.5; LDL: 83.2; VLDL: 19.5). As a reflection of the cholesterol lowering activities, Wistar albino rats treated with (III) and (VI) showed a maximum decrease in their body weights, 260.4 and 256.3 g respectively, when compared to all other prepared compounds as well as the standard drug (270.7 g). All the synthesized compounds along with the Ezetimibe were docked with the target enzyme Niemann-Pick C1-like1 (NPC1L1) protein (PDB ID: 3QNT), performed by AutoDock 4.0 tool. Conclusions: The molecular docking analysis demonstrated that (III) –4.92 kcal/mol and (VI) –5.36 kcal/mol achieved the highest binding affinity scores with good hydrogen bonds and hydrophobic interactions, all contributed to the stabilization of the compounds at the protein’s target site.

Russian Journal of Bioorganic ChemistryVol. 50(5)
D.Y. Patil University (IN), Ajeenkya DY Patil University
Zero hunger
Openalex Percentile: Top 79%
Computational Drug Discovery Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.