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Published on: January 26, 2016
Structure-based identification of inhibitory compounds targeting M32 metallocarboxypeptidase of Leishmania donovani
S Sen1, P Jakkula1, I A Qureshi1
1Department of Biotechnology & Bioinformatics, School of Life Sciences, University of Hyderabad, Hyderabad, India.
Abstract:
Leishmaniasis remains a major public health burden due to limited vaccines, toxic treatments, and drug resistance. The M32 metallocarboxypeptidase of Leishmania donovani (LdMCP1) represents a promising target due to its presence in trypanosomatids and absence in mammals. In this study, an in silico strategy was applied to predict the three-dimensional structure of LdMCP1, revealing a canonical α/β topology and the characteristic catalytic motifs of the M32 family. Dimeric interface analysis indicated that the N-terminal subdomain plays a critical role in inter-subunit interactions and overall dimer stability. Molecular docking delineated the binding mode of a peptide substrate within the active site, highlighting key interactions with catalytic residues. Virtual screening of GSK anti-kinetoplastid libraries identified three compounds as lead molecules based on docking scores, substrate interaction patterns, and previously reported in vitro inhibitory activity against TcMCP1. These compounds exhibited favourable physicochemical properties, ADMET and pharmacokinetic profiles. All protein-ligand complexes demonstrated structural integrity, compactness, and flexibility during the molecular dynamics simulations. MM-PBSA binding free energy calculations indicated TCMDC-143515 and TCMDC-143620 bind more strongly than the substrate. Collectively, these findings suggest that LdMCP1 is a druggable enzyme and identified lead molecules provide a rational starting point for the design and optimization of specific antileishmanial agents.
Insights
Researchers identified potential new treatments for leishmaniasis by targeting the Leishmania donovani metallocarboxypeptidase 1 (LdMCP1) enzyme. Computational methods revealed promising lead compounds that bind effectively to the target, offering a new strategy against this disease.
Area of Science:
- Parasitology and Tropical Diseases
- Computational Biology and Drug Discovery
- Biochemistry and Molecular Biology
Background:
- Leishmaniasis poses a significant global health challenge due to treatment limitations and drug resistance.
- The Leishmania donovani metallocarboxypeptidase 1 (LdMCP1) is a validated drug target due to its essential role in the parasite and absence in humans.
Purpose of the Study:
- To computationally predict the 3D structure of LdMCP1.
- To identify potential drug candidates targeting LdMCP1 using virtual screening and molecular dynamics simulations.
Main Methods:
- In silico structure prediction and analysis of LdMCP1.
- Molecular docking of peptide substrates and compound libraries.
- Virtual screening of GSK anti-kinetoplastid compounds.
- Molecular dynamics simulations and MM-PBSA binding energy calculations.
Main Results:
- The predicted LdMCP1 structure exhibits canonical M32 family features, with the N-terminal subdomain crucial for dimer stability.
- Virtual screening identified three lead compounds (TCMDC-143515, TCMDC-143620, and another) with favorable drug-like properties.
- Molecular dynamics and binding energy calculations confirmed strong binding of lead compounds, with TCMDC-143515 and TCMDC-143620 showing higher affinity than the natural substrate.
Conclusions:
- LdMCP1 is a druggable target for developing novel antileishmanial therapies.
- The identified lead compounds serve as a rational basis for designing and optimizing new drugs against leishmaniasis.
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