Shape based virtual screening and molecular docking towards designing novel pancreatic lipase inhibitors

Ganesh Kumar Veeramachaneni1, K Kranthi Raj1, Leela Madhuri Chalasani1

  • 1Department of Biotechnology, K L E F University, Green Fields, Vaddeswaram, 522 502, Guntur (Dt.), A.P, India.

Bioinformation
|January 16, 2016
PubMed

Insights

Obesity is a growing global health concern. Researchers identified potential pancreatic lipase inhibitors using in silico methods, with zinc95919096 showing promise for drug discovery.

Area of Science:

  • Pharmacology and Computational Chemistry

Background:

  • Rising global obesity rates present a significant public health challenge.
  • Obesity is linked to numerous severe health issues, necessitating novel therapeutic strategies.
  • Pancreatic lipase is a key target for developing anti-obesity drugs.

Purpose of the Study:

  • To identify potential inhibitors of pancreatic lipase using in silico drug design methods.
  • To screen natural compounds for their efficacy against pancreatic lipase.
  • To advance drug discovery for obesity treatment.

Main Methods:

  • Structure-based virtual screening of a natural compound database.
  • In silico pharmacokinetic property prediction using QikProp.
  • Molecular docking studies and binding energy calculations.
  • Evaluation of molecular interactions against pancreatic lipase.

Main Results:

  • Three compounds (zinc85531017, zinc95919096, and zinc33963788) were identified as potential pancreatic lipase inhibitors.
  • Compound zinc95919096 exhibited interaction patterns similar to both standard and crystal ligands.
  • Detailed in silico analyses supported the inhibitory potential of the selected molecules.

Conclusions:

  • The identified compounds, particularly zinc95919096, represent promising leads for pancreatic lipase inhibition.
  • Further drug discovery and development efforts are warranted for zinc95919096.
  • Computational approaches are effective in identifying novel anti-obesity drug candidates.

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