The Essential Facts of Wuhan Novel Coronavirus Outbreak in China and Epitope-based Vaccine Designing against COVID-19

Sarkar, Bishajit; Ullah, Md. Asad; Johora, Fatema Tuz; Taniya, Masuma Afrin; Araf, Yusha

doi:10.1101/2020.02.05.935072

Cited by 34 publications

(32 citation statements)

References 97 publications

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“…T and B lymphocytes are two important types of immune cells in the body [13,15]. Upon entry of an antigen into the body, it is directed to helper T-cells through MHC-II molecules expressed by antigen-presenting cells (APC).…”

Section: Discussionmentioning

confidence: 99%

Immune and bioinformatics identification of T cell and B cell epitopes in the protein structure of SARS-CoV-2: A systematic review

Noorimotlagh

Karami

Mirzaee

et al. 2020

International Immunopharmacology

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The beginning of 2020 was marked as the emergence of a COVID-19 outbreak caused by a new coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Currently, there is no vaccine or approved treatment for this infectious virus so the invention of an efficient vaccine is certainly a high priority. Some studies have employed several techniques to facilitate the combination of the immunoinformatics approach and comparative genomic approach in order to determine the potential peptides for designing the T-cell epitopebased peptide vaccine using the 2019-nCoV envelope protein as a target. Via screening the bioimmunoinformatic SARS-CoV2 derived B-cell and T-cell epitopes within the basic immunogenic of SARS-CoV2 proteins, we presented a set of inferred B-cell and T-cell epitopes from the spike (S) and nucleocapsid (N) proteins with high antigenicity and without allergenic property or toxic effects. Our findings provide a screened set of epitopes that can be introduced as potential targets for developing peptide vaccines against the SARS-CoV-2 virus.

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Section: Discussionmentioning

confidence: 99%

Immune and bioinformatics identification of T cell and B cell epitopes in the protein structure of SARS-CoV-2: A systematic review

Noorimotlagh

Karami

Mirzaee

et al. 2020

International Immunopharmacology

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“…The approaches of reverse vaccinology and immune informatics can be useful to develop subunit vaccines towards COVID-19. [116]. The strain of the SARS-CoV-2 has been selected by reviewing numerous entries of the online database of the National Center for Biotechnology Information, while the online epitope prediction server Immune Epitope Database was utilized for T-cell and B-cell epitope prediction.…”

Section: Vaccine/drug Discoverymentioning

confidence: 99%

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

Pham

Nguyen

Huynh‐The

et al. 2020

Preprint

101

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The very first infected novel coronavirus case (COVID-19) was found in Hubei, China in Dec. 2019. The COVID-19 pandemic has spread over 215 countries and areas in the world, and has significantly affected every aspect of our daily lives. At the time of writing this article, the numbers of infected cases and deaths still increase significantly and have no sign of a well-controlled situation, e.g., as of 14 April 2020, a cumulative total of 1,853,265 (118,854) infected (dead) COVID-19 cases were reported in the world. Motivated by recent advances and applications of artificial intelligence (AI) and big data in various areas, this paper aims at emphasizing their importance in responding to the COVID-19 outbreak and preventing the severe effects of the COVID-19 pandemic. We firstly present an overview of AI and big data, then identify their applications in fighting against COVID-19, next highlight challenges and issues associated with state-of-the-art solutions, and finally come up with recommendations for the communications to effectively control the COVID-19 situation. It is expected that this paper provides researchers and communities with new insights into the ways AI and big data improve the COVID-19 situation, and drives further studies in stopping the COVID-19 outbreak.

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“…Ellipro uses many ML methods to predict and visualize a given protein sequence or B-cell epitope in a structure. In addition, Sarkar et al [76] studied the epitope-based vaccine design of COVID-19 and used the SVM method to predict the toxicity of selected epitopes. In [67], Prachar et al used 19 integrated epitope-HLA tools including the IEDB, ANN, and PSSM algorithm to predict and validate 174 SARS-CoV-2 epitopes.…”

Section: And DL For Vaccine Developmentmentioning

confidence: 99%

Machine and Deep Learning Towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions

Alafif¹

2020

Preprint

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Machine Learning (ML) and Deep Learning (DL) have been widely used in our daily lives in a variety of ways with many effective stories. Also, they have been instrumental in tackling the Coronavirus (COVID-19) epidemic, which has been occurring around the world. The COVID-19 epidemic caused by the SARS-CoV-2 virus has spread rapidly around the world, leading to global outbreaks. Most governments, businesses, and scientific research institutions are taking part in the COVID-19 struggle to stem the spread of the disease. In this survey, we investigate the Artificial Intelligence (AI) based ML and DL towards COVID-19 diagnosis and treatment. In addition, we summarize the AI-based ML and DL methods and available datasets, resources, and results in the fight against COVID-19. This survey provides the ML and DL researchers and the wider health community a comprehensive overview of the current state-of-the-art methodologies and applications with details of how ML and DL and data can improve the status of COVID-19, and further studies to stop the COVID-19 outbreak. Challenges and future directions details are also provided.

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The Essential Facts of Wuhan Novel Coronavirus Outbreak in China and Epitope-based Vaccine Designing against COVID-19

Cited by 34 publications

References 97 publications

Immune and bioinformatics identification of T cell and B cell epitopes in the protein structure of SARS-CoV-2: A systematic review

Immune and bioinformatics identification of T cell and B cell epitopes in the protein structure of SARS-CoV-2: A systematic review

Artificial Intelligence (AI) and Big Data for Coronavirus (COVID-19) Pandemic: A Survey on the State-of-the-Arts

Machine and Deep Learning Towards COVID-19 Diagnosis and Treatment: Survey, Challenges, and Future Directions

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