Prediction of a neutralizing epitope of a H5N1 virus hemagglutinin complexed with an antibody variable fragment using molecular dynamics simulation

ISSN Print: 2153-036X
ISSN Online: 2153-0378
www.scirp.net/journal/jbpc
E-mail: [email protected]

Citations

"Prediction of a neutralizing epitope of a H5N1 virus hemagglutinin complexed with an antibody variable fragment using molecular dynamics simulation"
written by Cenmidtal C. Mulyanto, Rosari Saleh,
published by Journal of Biophysical Chemistry, Vol.2 No.3, 2011

has been cited by the following article(s):

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[4]	Vaccine Design for H5N1 Based on B-and T-cell Epitope Predictions
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[7]	Identification of the Regions in Factor V Mediating its Edocytosis by Megakaryocytes to Form the Unique Platelet-Derived Cofactor Molecule
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[8]	Development of python based software tool in predic ting antigenicity of proteins
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[9]	Identifying antigenicity-associated sites in highly pathogenic H5N1 influenza virus hemagglutinin by using sparse learning
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[10]	Development of python based software tool in predicting antigenicity of proteins
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[1]	Molecular dynamics simulation studies on influenza A virus H5N1 complexed with sialic acid and fluorinated sialic acid Journal of Biomolecular Structure and Dynamics, 2019 DOI:10.1080/07391102.2019.1568304

[2]	Aplicações de química teórica no estudo de materiais: métodos in silico para nanomateriais 2018 DOI:10.7476/9786580216123.0005

[3]	Molecular dynamics simulation and steered molecular dynamics simulation on irisin dimers Journal of Molecular Modeling, 2018 DOI:10.1007/s00894-018-3609-8

[4]	In silico prediction of epitopes for Chikungunya viral strains Journal of Pharmaceutical Investigation, 2015 DOI:10.1007/s40005-015-0205-0

[5]	Identifying Antigenicity-Associated Sites in Highly Pathogenic H5N1 Influenza Virus Hemagglutinin by Using Sparse Learning Journal of Molecular Biology, 2012 DOI:10.1016/j.jmb.2012.05.011