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High-throughput virtual screening with e-pharmacophore and molecular simulations study in the designing of pancreatic lipase inhibitors

BACKGROUND: Obesity is a progressive metabolic disorder in the current world population, and is characterized by the excess deposition of fat in the adipose tissue. Pancreatic lipase is one of the key enzymes in the hydrolysis of triglycerides into monoglycerides and free fatty acids, and is thus co...

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Autores principales: Veeramachaneni, Ganesh Kumar, Raj, K Kranthi, Chalasani, Leela Madhuri, Bondili, Jayakumar Singh, Talluri, Venkateswara Rao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532172/
https://www.ncbi.nlm.nih.gov/pubmed/26273199
http://dx.doi.org/10.2147/DDDT.S84052
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author Veeramachaneni, Ganesh Kumar
Raj, K Kranthi
Chalasani, Leela Madhuri
Bondili, Jayakumar Singh
Talluri, Venkateswara Rao
author_facet Veeramachaneni, Ganesh Kumar
Raj, K Kranthi
Chalasani, Leela Madhuri
Bondili, Jayakumar Singh
Talluri, Venkateswara Rao
author_sort Veeramachaneni, Ganesh Kumar
collection PubMed
description BACKGROUND: Obesity is a progressive metabolic disorder in the current world population, and is characterized by the excess deposition of fat in the adipose tissue. Pancreatic lipase is one of the key enzymes in the hydrolysis of triglycerides into monoglycerides and free fatty acids, and is thus considered a promising target for the treatment of obesity. The present drugs used for treating obesity do not give satisfactory results, and on prolonged usage result in severe side effects. In view of the drastic increase in the obese population day-to-day, there is a greater need to discover new drugs with lesser side effects. MATERIALS AND METHODS: High-throughput virtual screening combined with e-pharmacophore screening and ADME (absorption, distribution, metabolism, and excretion) and PAINS (pan-assay interference compounds) filters were applied to screen out the ligand molecules from the ZINC natural molecule database. The screened molecules were subjected to Glide XP docking to study the molecular interactions broadly. Further, molecular dynamic simulations were used to validate the stability of the enzyme–ligand complexes. Finally, the molecules with better results were optimized for in vitro testing. RESULTS: The screening protocols identified eight hits from the natural molecule database, which were further filtered through pharmacological filters. The final four hits were subjected to extra precision docking, and the complexes were finally studied with molecular dynamic simulations. The results pointed to the zinc 85893731 molecule as the most stable in the binding pocket, producing consistent H-bond interaction with Ser152 (G=−7.18). The optimized lead molecule exhibited good docking score, better fit, and improved ADME profile. CONCLUSION: The present study specifies zinc 85893731 as a lead molecule with higher binding score and energetically stable complex with pancreatic lipase. This lead molecule, along with its various analogs, can be further tested as a novel inhibitor against pancreatic lipase using in vitro protocols.
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spelling pubmed-45321722015-08-13 High-throughput virtual screening with e-pharmacophore and molecular simulations study in the designing of pancreatic lipase inhibitors Veeramachaneni, Ganesh Kumar Raj, K Kranthi Chalasani, Leela Madhuri Bondili, Jayakumar Singh Talluri, Venkateswara Rao Drug Des Devel Ther Original Research BACKGROUND: Obesity is a progressive metabolic disorder in the current world population, and is characterized by the excess deposition of fat in the adipose tissue. Pancreatic lipase is one of the key enzymes in the hydrolysis of triglycerides into monoglycerides and free fatty acids, and is thus considered a promising target for the treatment of obesity. The present drugs used for treating obesity do not give satisfactory results, and on prolonged usage result in severe side effects. In view of the drastic increase in the obese population day-to-day, there is a greater need to discover new drugs with lesser side effects. MATERIALS AND METHODS: High-throughput virtual screening combined with e-pharmacophore screening and ADME (absorption, distribution, metabolism, and excretion) and PAINS (pan-assay interference compounds) filters were applied to screen out the ligand molecules from the ZINC natural molecule database. The screened molecules were subjected to Glide XP docking to study the molecular interactions broadly. Further, molecular dynamic simulations were used to validate the stability of the enzyme–ligand complexes. Finally, the molecules with better results were optimized for in vitro testing. RESULTS: The screening protocols identified eight hits from the natural molecule database, which were further filtered through pharmacological filters. The final four hits were subjected to extra precision docking, and the complexes were finally studied with molecular dynamic simulations. The results pointed to the zinc 85893731 molecule as the most stable in the binding pocket, producing consistent H-bond interaction with Ser152 (G=−7.18). The optimized lead molecule exhibited good docking score, better fit, and improved ADME profile. CONCLUSION: The present study specifies zinc 85893731 as a lead molecule with higher binding score and energetically stable complex with pancreatic lipase. This lead molecule, along with its various analogs, can be further tested as a novel inhibitor against pancreatic lipase using in vitro protocols. Dove Medical Press 2015-08-06 /pmc/articles/PMC4532172/ /pubmed/26273199 http://dx.doi.org/10.2147/DDDT.S84052 Text en © 2015 Veeramachaneni et al. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Original Research
Veeramachaneni, Ganesh Kumar
Raj, K Kranthi
Chalasani, Leela Madhuri
Bondili, Jayakumar Singh
Talluri, Venkateswara Rao
High-throughput virtual screening with e-pharmacophore and molecular simulations study in the designing of pancreatic lipase inhibitors
title High-throughput virtual screening with e-pharmacophore and molecular simulations study in the designing of pancreatic lipase inhibitors
title_full High-throughput virtual screening with e-pharmacophore and molecular simulations study in the designing of pancreatic lipase inhibitors
title_fullStr High-throughput virtual screening with e-pharmacophore and molecular simulations study in the designing of pancreatic lipase inhibitors
title_full_unstemmed High-throughput virtual screening with e-pharmacophore and molecular simulations study in the designing of pancreatic lipase inhibitors
title_short High-throughput virtual screening with e-pharmacophore and molecular simulations study in the designing of pancreatic lipase inhibitors
title_sort high-throughput virtual screening with e-pharmacophore and molecular simulations study in the designing of pancreatic lipase inhibitors
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4532172/
https://www.ncbi.nlm.nih.gov/pubmed/26273199
http://dx.doi.org/10.2147/DDDT.S84052
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