Pharmacoinformatics-based identification of chemically active molecules against Ebola virus-Reference-Cited by-同舟云学术

Pharmacoinformatics-based identification of chemically active molecules against Ebola virus

Published:2018-12-24 Issue:15 Volume:37 Page:4104-4119
ISSN:0739-1102
Container-title:Journal of Biomolecular Structure and Dynamics
language:en
Short-container-title:Journal of Biomolecular Structure and Dynamics

Author:

Islam Md Ataul¹²,Pillay Tahir S.¹³^ORCID

Affiliation:

1. Department of Chemical Pathology, Faculty of Health Sciences, University of Pretoria and National Health Laboratory Service Tshwane Academic Division, Pretoria, South Africa;

2. School of Health Sciences, University of Kwazulu-Natal, Westville Campus, Durban, South Africa;

3. Division of Chemical Pathology, University of Cape Town, Cape Town, South Africa

Funder

National Research Foundation

Publisher

Informa UK Limited

Subject

Molecular Biology,General Medicine,Structural Biology

Link

https://www.tandfonline.com/doi/pdf/10.1080/07391102.2018.1544509

Reference67 articles.

1. Virtual Lead Identification of Farnesyltransferase Inhibitors Based on Ligand and Structure-Based Pharmacophore Techniques

2. Ebola Virus Enters Host Cells by Macropinocytosis and Clathrin-Mediated Endocytosis

3. Revisiting De Novo Drug Design: Receptor Based Pharmacophore Screening

4. The International Ebola Emergency

5. CHARMM: A program for macromolecular energy, minimization, and dynamics calculations

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