Literature DB >> 28627969

Identification of potential inhibitors of Fasciola gigantica thioredoxin1: computational screening, molecular dynamics simulation, and binding free energy studies.

Rohit Shukla1, Harish Shukla1, Parismita Kalita1, Amit Sonkar1, Tripti Pandey1, Dev Bukhsh Singh2, Awanish Kumar3, Timir Tripathi1.   

Abstract

Fasciola gigantica is the causative organism of fascioliasis and is responsible for major economic losses in livestock production globally. F. gigantica thioredoxin1 (FgTrx1) is an important redox-active enzyme involved in maintaining the redox homeostasis in the cell. To identify a potential anti-fasciolid compound, we conducted a structure-based virtual screening of natural compounds from the ZINC database (n = 1,67,740) against the FgTrx1 structure. The ligands were docked against FgTrx1 and 309 ligands were found to have better docking score. These compounds were evaluated for Lipinski and ADMET prediction, and 30 compounds were found to fit well for re-docking studies. After refinement by molecular docking and drug-likeness analysis, three potential inhibitors (ZINC15970091, ZINC9312362, and ZINC9312661) were identified. These three ligands were further subjected to molecular dynamics simulation (MDS) to compare the dynamics and stability of the protein structure after binding of the ligands. The binding free energy analyses were calculated to determine the intermolecular interactions. The results suggested that the two compounds had a binding free energy of -82.237, and -109.52 kJ.mol-1 for compounds with IDs ZINC9312362 and ZINC9312661, respectively. These predicted compounds displayed considerable pharmacological and structural properties to be drug candidates. We concluded that these two compounds could be potential drug candidates to fight against F. gigantica parasites.

Entities:  

Keywords:  Fasciola gigantica; binding energy; drug target; molecular docking; molecular dynamic simulation; natural compounds; thioredoxin; virtual screening

Mesh:

Substances:

Year:  2017        PMID: 28627969     DOI: 10.1080/07391102.2017.1344141

Source DB:  PubMed          Journal:  J Biomol Struct Dyn        ISSN: 0739-1102


  7 in total

1.  Comprehensive analysis of the catalytic and structural properties of a mu-class glutathione s-transferase from Fasciola gigantica.

Authors:  Jupitara Kalita; Rohit Shukla; Harish Shukla; Kundlik Gadhave; Rajanish Giri; Timir Tripathi
Journal:  Sci Rep       Date:  2017-12-13       Impact factor: 4.379

2.  Exploring Leishmania secretory proteins to design B and T cell multi-epitope subunit vaccine using immunoinformatics approach.

Authors:  Nazia Khatoon; Rajan Kumar Pandey; Vijay Kumar Prajapati
Journal:  Sci Rep       Date:  2017-08-15       Impact factor: 4.379

3.  Targeting Nucleotide Binding Domain of Multidrug Resistance-associated Protein-1 (MRP1) for the Reversal of Multi Drug Resistance in Cancer.

Authors:  Divya Dhasmana; Ashutosh Singh; Rohit Shukla; Timir Tripathi; Neha Garg
Journal:  Sci Rep       Date:  2018-08-10       Impact factor: 4.379

4.  Identification of lead molecules against potential drug target protein MAPK4 from L. donovani: An in-silico approach using docking, molecular dynamics and binding free energy calculation.

Authors:  Shweta Raj; Santanu Sasidharan; Vikash Kumar Dubey; Prakash Saudagar
Journal:  PLoS One       Date:  2019-08-19       Impact factor: 3.240

5.  High-throughput screening of natural compounds and inhibition of a major therapeutic target HsGSK-3β for Alzheimer's disease using computational approaches.

Authors:  Rohit Shukla; Tiratha Raj Singh
Journal:  J Genet Eng Biotechnol       Date:  2021-05-04

6.  Interactions of Co, Cu, and non-metal phthalocyanines with external structures of SARS-CoV-2 using docking and molecular dynamics.

Authors:  Wilson Luna Machado Alencar; Tiago da Silva Arouche; Abel Ferreira Gomes Neto; Teodorico de Castro Ramalho; Raul Nunes de Carvalho Júnior; Antonio Maia de Jesus Chaves Neto
Journal:  Sci Rep       Date:  2022-02-28       Impact factor: 4.379

7.  Virtual screening, molecular dynamics and binding energy-MM-PBSA studies of natural compounds to identify potential EcR inhibitors against Bemisia tabaci Gennadius.

Authors:  Harmilan Kaur Mangat; Manisha Rani; Rajesh Kumar Pathak; Inderjit Singh Yadav; Divya Utreja; Pardeep Kumar Chhuneja; Parveen Chhuneja
Journal:  PLoS One       Date:  2022-01-21       Impact factor: 3.240

  7 in total

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