Tehran University of Medical Sciences

Science Communicator Platform

Stay connected! Follow us on X network (Twitter):
Share this content! On (X network) By
Molecular Dynamics Simulation and Docking Studies of Selenocyanate Derivatives As Anti-Leishmanial Agents Publisher Pubmed



Iman M1 ; Kaboutaraki HB1, 2 ; Jafari R1 ; Hosseini SA3 ; Moghimi A3 ; Khamesipour A4 ; Harchegani AB1 ; Davood A5
Authors
Show Affiliations
Authors Affiliations
  1. 1. Chemical Injuries Research Center, Baqiyatallah University of Medical Sciences, Tehran, Iran
  2. 2. Department of Pharmaceutics, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran
  3. 3. Department of Chemistry, Faculty of Science, Imam Hossein University, Tehran, Iran
  4. 4. Center for Research and Training in Skin Diseases and Leprosy, Tehran University of Medical Sciences, Tehran, Iran
  5. 5. Department of Medicinal Chemistry, Faculty of Pharmacy, Pharmaceutical Sciences Branch, Islamic Azad University, No 99, Yakhchal ave. Shariatie Street, Tehran, 19419, Iran

Source: Combinatorial Chemistry and High Throughput Screening Published:2016


Abstract

Background: Selenocyanate derivatives have been recently presented as potent anti-leishmanial agents. Objective: In this research, thirty five selenocyanate and diselenide compounds were subjected to docking studies and compared to Edelfosine and Miltefosine as reference drugs and then molecular dynamics (MD) simulation analysis. Methods: Desired Selenocyanates were built using the HyperChem program and docking calculations were performed on the crystal structure of trypanothione reductase from Leishmania infantum. Then, MD simulation analysis was performed to explore the interaction stability of selected compound during structural motions of the interacting molecules. Results: Based on the binding energy, all of the aryl rings were more potent than Edelfosine and Miltefosine as reference drug. The best compound base on hydrogen bonding, π-π interactions and orientation within the active site with high binding energy was selected for MD simulation analysis. The selected compound is known as high-affinity selective inhibitor for trypanothione reductase. Conclusion: These results can be used for future synthesis of new antileishmanial agents with better potency. © 2016 Bentham Science Publishers.