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dc.contributor.advisorDo, Ngoc Phuc Chau
dc.contributor.authorPhan, Bao Chau
dc.date.accessioned2024-09-18T04:27:46Z
dc.date.available2024-09-18T04:27:46Z
dc.date.issued2023-03
dc.identifier.urihttp://keep.hcmiu.edu.vn:8080/handle/123456789/5780
dc.description.abstractSevere acute respiratory syndrome 2 (SARS-CoV-2) has been recognized as a deadly epidemic since it was first detected in the end of 2019 at Wuhan fish market, China. Recently, three SARS-CoV-2 variants of concern, B.1.1.7, B.1.351, and B.1.1.248, among many developing variants are known to carry several mutations within the spike protein which introduce an emergent of mutant escape. In the context of fast transmission, optimizing antibody therapeutic strategies to target specific epitopes of multiple mutant viral strains remains challenging. Herein, we performed in silico molecular docking of two broad-spectrum nanobodies targeting the Receptor-Binding Domain of different SARS-CoV-2 variants of concern. In this study, four protein-protein docking applications ZDOCK 3.0.2, MEGADOCK 4.0, Cluspro and HADDOCK, were utilized to investigate the molecular interaction of nanobodies binding to targeted-RBD on S spikes across SARS-CoV-2 variants. To evaluate neutralization ability of nanobody comparing to in vitro activity, nanobody structures were computationally grafted from complementarity-determining regions (CDRs) of synthetic construct nanobodies that were involved in experimentally against the RBD of SARS-CoV-2. Nanobody structures were computationally grafted from complementarity-determining regions (CDRs) of synthetic build nanobodies that were involved experimentally against the RBD of SARS-CoV-2 in order to evaluate neutralizing ability relative to in vitro activity. Considering four docking tools, our results show that HADDOCK and Cluspro are most capable of offering dependable results. However, ZDOCK 3.0.2 and MEGADOCK 4.0 failed to achieve the desired results using multiple assessment methods. According to our understanding, the purpose of this research is to contribute to the docking validation of various protein-protein docking techniques in order to get a trustworthy outcome in the current SARS-CoV-2 pandemic challenge, which has a restricted crystallographic structure. To our knowledge, this research aims to contribute to the docking validation of different protein-protein docking tools in present SARS-CoV-2 pandemic challenge, which has a restricted availability of crystallographic structure.en_US
dc.language.isoenen_US
dc.subjectprotein-protein molecular dockingen_US
dc.subjectbroad-spectrum nanobodyen_US
dc.subjectSARS-CoV-2en_US
dc.subjectMEGADOCK 4.0en_US
dc.subjectZDOCK 3.0.2en_US
dc.subjectClusproen_US
dc.subjectHADDOCKen_US
dc.subjectGNN-DOVEen_US
dc.titleBenchmarking Of Different Molecular Docking Tools For Potential Nanobodies Targeting Receptor Binding Domanin Of SARS-COV-2 Variantsen_US
dc.typeThesisen_US


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