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Epistatic Variations in the Omicron Receptor Binding Domain Can Enhance Host Recognition: An in Silico Assessment and Prediction
Xudong Hou,
Jiali Gao
, Yingjie Wang
Chemistry (Twin Cities)
Research output
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Contribution to journal
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Article
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peer-review
2
Scopus citations
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Dive into the research topics of 'Epistatic Variations in the Omicron Receptor Binding Domain Can Enhance Host Recognition: An in Silico Assessment and Prediction'. Together they form a unique fingerprint.
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Keyphrases
Epistasis
100%
Receptor-binding Domain
100%
Angiotensin-converting Enzyme 2 (ACE2)
100%
In Silico Prediction
100%
In Silico Assessment
100%
Host-guest Recognition
100%
Electrostatic Interaction
50%
Omicron BA.1
50%
Network Effects
25%
Molecular Dynamics Simulation
25%
Wuhan
25%
Binding Affinity
25%
Epistasis Effects
25%
Hydrogen Bond Network
25%
Binding Interface
25%
Interaction Network
25%
Binding Features
25%
Perturbation Calculation
25%
Free Energy Perturbation
25%
Viral Evolution
25%
Hypermutated
25%
BA.1
25%
Interfacial Hydrogen Bonds
25%
Hydrogen Bonds (H-bonds)
25%
Biochemistry, Genetics and Molecular Biology
Binding Domain
100%
Receptor Binding
100%
Static Electricity
50%
Hydrogen Bond
50%
Wild Type
25%
Angiotensin-Converting Enzyme 2
25%
Binding Affinity
25%