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Structure-guided screening of chemical database to identify NS3-NS2B inhibitors for effective therapeutic application in dengue infection.
J Mol Recognit. 2020 07; 33(7):e2838.JM

Abstract

Dengue infection is the most common arthropod-borne disease caused by dengue viruses, predominantly affecting millions of human beings annually. To find out promising chemical entities for therapeutic application in Dengue, in the current research, a multi-step virtual screening effort was conceived to screen out the entire "screening library" of the Asinex database. Initially, through "Lipinski rule of five" filtration criterion almost 0.6 million compounds were collected and docked with NS3-NS2B protein. Thereby, the chemical space was reduced to about 3500 compounds through the analysis of binding affinity obtained from molecular docking study in AutoDock Vina. Further, the "Virtual Screening Workflow" (VSW) utility of Schrödinger suite was used, which follows a stepwise multiple docking programs such as - high-throughput virtual screening (HTVS), standard precision (SP), and extra precision (XP) docking, and in postprocessing analysis the MM-GBSA based free binding energy calculation. Finally, five potent molecules were proposed as potential inhibitors for the dengue NS3-NS2B protein based on the investigation of molecular interactions map and protein-ligand fingerprint analyses. Different pharmacokinetics and drug-likeness parameters were also checked, which favour the potentiality of selected molecules for being drug-like candidates. The molecular dynamics (MD) simulation analyses of protein-ligand complexes were explained that NS3-NS2B bound with proposed molecules quite stable in dynamic states as observed from the root means square deviation (RMSD) and root means square fluctuation (RMSF) parameters. The binding free energy was calculated using MM-GBSA method from the MD simulation trajectories revealed that all proposed molecules possess such a strong binding affinity towards the dengue NS3-NS2B protein. Therefore, proposed molecules may be potential chemical components for effective inhibition of dengue NS3-NS2B protein subjected to experimental validation.

Authors+Show Affiliations

Department of Chemical Technology, University of Calcutta, Kolkata, India.Chemistry Department, College of Science, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia.Department of Chemistry, College of Science, King Saud University, Riyadh, Saudi Arabia.School of Pharmacy, University of East Anglia, Norwich, UK.Division of Pharmacy and Optometry, School of Health Sciences, Faculty of Biology, Medicine and Health, University of Manchester, Manchester, UK. School of Health Sciences, University of Kwazulu-Natal, Westville Campus, Durban, South Africa. Department of Chemical Pathology, Faculty of Health Sciences, University of Pretoria, Pretoria, South Africa.

Pub Type(s)

Journal Article
Research Support, Non-U.S. Gov't

Language

eng

PubMed ID

32060998

Citation

Bhowmick, Shovonlal, et al. "Structure-guided Screening of Chemical Database to Identify NS3-NS2B Inhibitors for Effective Therapeutic Application in Dengue Infection." Journal of Molecular Recognition : JMR, vol. 33, no. 7, 2020, pp. e2838.
Bhowmick S, Alissa SA, Wabaidur SM, et al. Structure-guided screening of chemical database to identify NS3-NS2B inhibitors for effective therapeutic application in dengue infection. J Mol Recognit. 2020;33(7):e2838.
Bhowmick, S., Alissa, S. A., Wabaidur, S. M., Chikhale, R. V., & Islam, M. A. (2020). Structure-guided screening of chemical database to identify NS3-NS2B inhibitors for effective therapeutic application in dengue infection. Journal of Molecular Recognition : JMR, 33(7), e2838. https://doi.org/10.1002/jmr.2838
Bhowmick S, et al. Structure-guided Screening of Chemical Database to Identify NS3-NS2B Inhibitors for Effective Therapeutic Application in Dengue Infection. J Mol Recognit. 2020;33(7):e2838. PubMed PMID: 32060998.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Structure-guided screening of chemical database to identify NS3-NS2B inhibitors for effective therapeutic application in dengue infection. AU - Bhowmick,Shovonlal, AU - Alissa,Siham A, AU - Wabaidur,Saikh Mohammad, AU - Chikhale,Rupesh V, AU - Islam,Md Ataul, Y1 - 2020/02/14/ PY - 2019/11/09/received PY - 2020/01/01/revised PY - 2020/01/13/accepted PY - 2020/2/16/pubmed PY - 2021/8/10/medline PY - 2020/2/16/entrez KW - NS3-NS2B KW - dengue KW - molecular docking KW - molecular dynamics KW - virtual screening SP - e2838 EP - e2838 JF - Journal of molecular recognition : JMR JO - J Mol Recognit VL - 33 IS - 7 N2 - Dengue infection is the most common arthropod-borne disease caused by dengue viruses, predominantly affecting millions of human beings annually. To find out promising chemical entities for therapeutic application in Dengue, in the current research, a multi-step virtual screening effort was conceived to screen out the entire "screening library" of the Asinex database. Initially, through "Lipinski rule of five" filtration criterion almost 0.6 million compounds were collected and docked with NS3-NS2B protein. Thereby, the chemical space was reduced to about 3500 compounds through the analysis of binding affinity obtained from molecular docking study in AutoDock Vina. Further, the "Virtual Screening Workflow" (VSW) utility of Schrödinger suite was used, which follows a stepwise multiple docking programs such as - high-throughput virtual screening (HTVS), standard precision (SP), and extra precision (XP) docking, and in postprocessing analysis the MM-GBSA based free binding energy calculation. Finally, five potent molecules were proposed as potential inhibitors for the dengue NS3-NS2B protein based on the investigation of molecular interactions map and protein-ligand fingerprint analyses. Different pharmacokinetics and drug-likeness parameters were also checked, which favour the potentiality of selected molecules for being drug-like candidates. The molecular dynamics (MD) simulation analyses of protein-ligand complexes were explained that NS3-NS2B bound with proposed molecules quite stable in dynamic states as observed from the root means square deviation (RMSD) and root means square fluctuation (RMSF) parameters. The binding free energy was calculated using MM-GBSA method from the MD simulation trajectories revealed that all proposed molecules possess such a strong binding affinity towards the dengue NS3-NS2B protein. Therefore, proposed molecules may be potential chemical components for effective inhibition of dengue NS3-NS2B protein subjected to experimental validation. SN - 1099-1352 UR - https://www.unboundmedicine.com/medline/citation/32060998/Structure_guided_screening_of_chemical_database_to_identify_NS3_NS2B_inhibitors_for_effective_therapeutic_application_in_dengue_infection_ DB - PRIME DP - Unbound Medicine ER -