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For: Gao K, Wang R, Chen J, Cheng L, Frishcosy J, Huzumi Y, Qiu Y, Schluckbier T, Wei X, Wei GW. Methodology-Centered Review of Molecular Modeling, Simulation, and Prediction of SARS-CoV-2. Chem Rev 2022. [PMID: 35594413 DOI: 10.1021/acs.chemrev.1c00965] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 5.0] [Reference Citation Analysis]
Number Citing Articles
1 Qiu Y, Wei GW. CLADE 2.0: Evolution-Driven Cluster Learning-Assisted Directed Evolution. J Chem Inf Model 2022. [PMID: 36154171 DOI: 10.1021/acs.jcim.2c01046] [Reference Citation Analysis]
2 Lai G, Liu H, Deng J, Li K, Xie B. A Novel 3-Gene Signature for Identifying COVID-19 Patients Based on Bioinformatics and Machine Learning. Genes 2022;13:1602. [DOI: 10.3390/genes13091602] [Reference Citation Analysis]
3 Barroso da Silva FL, Giron CC, Laaksonen A. Electrostatic Features for the Receptor Binding Domain of SARS-COV-2 Wildtype and Its Variants. Compass to the Severity of the Future Variants with the Charge-Rule. J Phys Chem B 2022. [PMID: 36066414 DOI: 10.1021/acs.jpcb.2c04225] [Reference Citation Analysis]
4 Nguyen HL, Thai NQ, Nguyen PH, Li MS. SARS-CoV-2 Omicron Variant Binds to Human Cells More Strongly than the Wild Type: Evidence from Molecular Dynamics Simulation. J Phys Chem B 2022;126:4669-78. [PMID: 35723978 DOI: 10.1021/acs.jpcb.2c01048] [Cited by in Crossref: 3] [Cited by in F6Publishing: 2] [Article Influence: 3.0] [Reference Citation Analysis]