Cargando…
COVID-19Base v3: Update of the knowledgebase for drugs and biomedical entities linked to COVID-19
COVID-19 has taken a huge toll on our lives over the last 3 years. Global initiatives put forward by all stakeholders are still in place to combat this pandemic and help us learn lessons for future ones. While the vaccine rollout was not able to curb the spread of the disease for all strains, the re...
Autores principales: | Basit, Syed Abdullah, Qureshi, Rizwan, Musleh, Saleh, Guler, Reto, Rahman, M. Sohel, Biswas, Kabir H., Alam, Tanvir |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10025554/ https://www.ncbi.nlm.nih.gov/pubmed/36950105 http://dx.doi.org/10.3389/fpubh.2023.1125917 |
Ejemplares similares
-
Toward Preparing a Knowledge Base to Explore Potential Drugs and Biomedical Entities Related to COVID-19: Automated Computational Approach
por: Khan, Junaed Younus, et al.
Publicado: (2020) -
To trace or not to trace: Saving lives from COVID-19 at the cost of privacy breach in Bangladesh
por: Alam, Tanvir, et al.
Publicado: (2020) -
Correction: MSLP: mRNA subcellular localization predictor based on machine learning techniques
por: Musleh, Saleh, et al.
Publicado: (2023) -
MSLP: mRNA subcellular localization predictor based on machine learning techniques
por: Musleh, Saleh, et al.
Publicado: (2023) -
FARNA: knowledgebase of inferred functions of non-coding RNA transcripts
por: Alam, Tanvir, et al.
Publicado: (2017)