# Epitope based vaccine prediction for SARS-COV-2 by deploying immuno-informatics approach

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/epitope-based-vaccine-prediction-for-sars-cov-2-by-deploying-immuno-informatics/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Amit Joshi,B.C. Joshi,M. Amin‐ul Mannan,Vikas Kaushik |
| Citations | 84 |
| DOI | 10.1016/j.imu.2020.100338 |
| Fields | Biochemistry, Genetics and Molecular Biology,Medicine |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.1016/j.imu.2020.100338 |
| OpenAlex ID | https://openalex.org/W3020860985 |
| PMID | 32352026 |
| Type | article |
| Year | 2020 |

## Paper authors

- [Amit Joshi](https://scholariq.org/researchers/amit-joshi/)

## Paper primary topic

- [vaccines and immunoinformatics approaches](https://scholariq.org/topics/vaccines-and-immunoinformatics-approaches/)

## Paper topics

- [vaccines and immunoinformatics approaches](https://scholariq.org/topics/vaccines-and-immunoinformatics-approaches/)
- [SARS-CoV-2 and COVID-19 Research](https://scholariq.org/topics/sars-cov-2-and-covid-19-research/)
- [Transgenic Plants and Applications](https://scholariq.org/topics/transgenic-plants-and-applications/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.