Literature DB >> 33822042

Pan-selectin inhibitors as potential therapeutics for COVID-19 treatment: in silico screening study.

Pavel Šmak1, Selvaraj Chandrabose2, Igor Tvaroška1,3, Jaroslav Koča1,2.   

Abstract

Coronavirus disease 2019 (COVID-19) has spread rapidly throughout the globe. The spectrum of disease is broad but among hospitalized patients with COVID-19, respiratory failure from acute respiratory distress syndrome (ARDS) is the leading cause of mortality. There is an urgent need for an effective treatment. The current focus has been developing novel therapeutics, including antivirals, protease inhibitors, vaccines, and targeting the overactive cytokine response with anti-cytokine therapy. The overproduction of early response proinflammatory cytokines results in what has been described as a "cytokine storm" is leading eventually to death when the cells fail to terminate the inflammatory response. Accumulating evidence shows that inflammatory cytokines induce selectin ligands that play a crucial role in the pathogenesis of inflammatory diseases by mediating leukocyte migration from the blood into the tissue. Thus, the selectins and selectin ligands represent a promising therapeutic target for the treatment of COVID-19. In this paper, potential pan-selectin inhibitors were identified employing a virtual screening using a docking procedure. For this purpose, the Asinex and ZINC databases of ligands, including approved drugs, biogenic compounds, and glycomimetics, altogether 923 602 compounds, were screened against the P-, L-, and E-selectin. At first, the experimentally confirmed inhibitors were docked into all three selectins' carbohydrate recognition domains to assess the suitability of the screening procedure. Finally, based on the evaluation of ligands binding, we propose ten purchasable pan-selectin inhibitors to develop COVID-19 therapeutics.
© The Author(s) 2021. Published by Oxford University Press. All rights reserved. For permissions, please e-mail: journals.permissions@oup.com.

Entities:  

Keywords:  COVID-19; docking; pan-selectin inhibitors; selectins; virtual screening

Year:  2021        PMID: 33822042      PMCID: PMC8083503          DOI: 10.1093/glycob/cwab021

Source DB:  PubMed          Journal:  Glycobiology        ISSN: 0959-6658            Impact factor:   4.313


  58 in total

1.  Insights into the molecular basis of leukocyte tethering and rolling revealed by structures of P- and E-selectin bound to SLe(X) and PSGL-1.

Authors:  W S Somers; J Tang; G D Shaw; R T Camphausen
Journal:  Cell       Date:  2000-10-27       Impact factor: 41.582

Review 2.  Molecular mechanisms underlying adhesion and migration of hematopoietic stem cells.

Authors:  Aysegul Ocal Sahin; Miranda Buitenhuis
Journal:  Cell Adh Migr       Date:  2012 Jan-Feb       Impact factor: 3.405

3.  Sialyl Lewis(x): a "pre-organized water oligomer"?

Authors:  Florian P C Binder; Katrin Lemme; Roland C Preston; Beat Ernst
Journal:  Angew Chem Int Ed Engl       Date:  2012-07-02       Impact factor: 15.336

4.  Rational design of novel, potent small molecule pan-selectin antagonists.

Authors:  Remo Kranich; Anke S Busemann; Daniel Bock; Sabine Schroeter-Maas; Diana Beyer; Bo Heinemann; Michael Meyer; Katrin Schierhorn; Rainer Zahlten; Gerhard Wolff; Ewald M Aydt
Journal:  J Med Chem       Date:  2007-02-16       Impact factor: 7.446

5.  Glycan Bound to the Selectin Low Affinity State Engages Glu-88 to Stabilize the High Affinity State under Force.

Authors:  Padmaja Mehta-D'souza; Arkadiusz G Klopocki; Vaheh Oganesyan; Simon Terzyan; Timothy Mather; Zhenhai Li; Sumith R Panicker; Cheng Zhu; Rodger P McEver
Journal:  J Biol Chem       Date:  2016-12-23       Impact factor: 5.157

6.  Acyclic tethers mimicking subunits of polysaccharide ligands: selectin antagonists.

Authors:  Mickael Calosso; Guillaume Tambutet; Daniel Charpentier; Gabrielle St-Pierre; Marc Vaillancourt; Mohammed Bencheqroun; Jean-Philippe Gratton; Michel Prévost; Yvan Guindon
Journal:  ACS Med Chem Lett       Date:  2014-07-16       Impact factor: 4.345

7.  E-selectin ligand complexes adopt an extended high-affinity conformation.

Authors:  Roland C Preston; Roman P Jakob; Florian P C Binder; Christoph P Sager; Beat Ernst; Timm Maier
Journal:  J Mol Cell Biol       Date:  2015-06-27       Impact factor: 6.216

8.  Correction to: Clinical predictors of mortality due to COVID-19 based on an analysis of data of 150 patients from Wuhan, China.

Authors:  Qiurong Ruan; Kun Yang; Wenxia Wang; Lingyu Jiang; Jianxin Song
Journal:  Intensive Care Med       Date:  2020-06       Impact factor: 17.440

9.  Non-Carbohydrate Glycomimetics as Inhibitors of Calcium(II)-Binding Lectins.

Authors:  Sakonwan Kuhaudomlarp; Eike Siebs; Elena Shanina; Jérémie Topin; Ines Joachim; Priscila da Silva Figueiredo Celestino Gomes; Annabelle Varrot; Didier Rognan; Christoph Rademacher; Anne Imberty; Alexander Titz
Journal:  Angew Chem Int Ed Engl       Date:  2021-03-03       Impact factor: 15.336

10.  Dexamethasone in Hospitalized Patients with Covid-19.

Authors:  Peter Horby; Wei Shen Lim; Jonathan R Emberson; Marion Mafham; Jennifer L Bell; Louise Linsell; Natalie Staplin; Christopher Brightling; Andrew Ustianowski; Einas Elmahi; Benjamin Prudon; Christopher Green; Timothy Felton; David Chadwick; Kanchan Rege; Christopher Fegan; Lucy C Chappell; Saul N Faust; Thomas Jaki; Katie Jeffery; Alan Montgomery; Kathryn Rowan; Edmund Juszczak; J Kenneth Baillie; Richard Haynes; Martin J Landray
Journal:  N Engl J Med       Date:  2020-07-17       Impact factor: 91.245

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Authors:  Shobana Sundar; Lokesh Thangamani; Shanmughavel Piramanayagam; Jeyakumar Natarajan
Journal:  J Proteins Proteom       Date:  2021-05-18

Review 2.  Artificial intelligence and machine learning approaches for drug design: challenges and opportunities for the pharmaceutical industries.

Authors:  Chandrabose Selvaraj; Ishwar Chandra; Sanjeev Kumar Singh
Journal:  Mol Divers       Date:  2021-10-23       Impact factor: 2.943

3.  Interrogation of Bacillus anthracis SrtA active site loop forming open/close lid conformations through extensive MD simulations for understanding binding selectivity of SrtA inhibitors.

Authors:  Chandrabose Selvaraj; Gurudeeban Selvaraj; Randa Mohamed Ismail; Rajendran Vijayakumar; Alaa Baazeem; Dong-Qing Wei; Sanjeev Kumar Singh
Journal:  Saudi J Biol Sci       Date:  2021-05-08       Impact factor: 4.219

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