Computational approach for binding prediction of SARS-CoV-2 with neutralizing antibodies-Reference-Cited by-同舟云学术

Computational approach for binding prediction of SARS-CoV-2 with neutralizing antibodies

Published:2022 Issue: Volume:20 Page:2212-2222
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Beshnova Daria,Fang Yan,Du Mingjian,Sun Yehui,Du Fenghe,Ye Jianfeng,Chen Zhijian James,Li Bo

Funder

National Cancer Institute

Cancer Prevention and Research Institute of Texas

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference89 articles.

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4. Characterization of the receptor-binding domain (RBD) of 2019 novel coronavirus: implication for development of RBD protein as a viral attachment inhibitor and vaccine;Tai;Cell Mol Immunol,2020

5. World Health Organization. Coronavirus Disease 2019 (COVID-19) Situation Report-4. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200305-sitrep-45-covid-19.pdf?sfvrsn=ed2ba78b_2.

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3. PESI: Paratope-Epitope Set Interaction for SARS-CoV-2 Neutralization Prediction;2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM);2023-12-05

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