Carbon fullerene and nanotube are probable binders to multiple targets of SARS-CoV-2: Insights from computational modeling and molecular dynamic simulation studies Article Swipe
Sinosh Skariyachan
,
Dharshini Gopal
,
Dhrithi Deshpande
,
Anusha Joshi
,
Akshay Uttarkar
,
Vidya Niranjan
·
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.meegid.2021.105155
YOU?
·
· 2021
· Open Access
·
· DOI: https://doi.org/10.1016/j.meegid.2021.105155
Related Topics
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1016/j.meegid.2021.105155
- OA Status
- hybrid
- Cited By
- 33
- References
- 83
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W3216914992
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W3216914992Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1016/j.meegid.2021.105155Digital Object Identifier
- Title
-
Carbon fullerene and nanotube are probable binders to multiple targets of SARS-CoV-2: Insights from computational modeling and molecular dynamic simulation studiesWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2021Year of publication
- Publication date
-
2021-11-22Full publication date if available
- Authors
-
Sinosh Skariyachan, Dharshini Gopal, Dhrithi Deshpande, Anusha Joshi, Akshay Uttarkar, Vidya NiranjanList of authors in order
- Landing page
-
https://doi.org/10.1016/j.meegid.2021.105155Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
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https://doi.org/10.1016/j.meegid.2021.105155Direct OA link when available
- Concepts
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Carbon nanotube, Fullerene, Molecular dynamics, Nanotechnology, Materials science, Molecule, Docking (animal), Molecular biophysics, Biophysics, Chemistry, Computational chemistry, Biology, Biochemistry, Organic chemistry, Nursing, MedicineTop concepts (fields/topics) attached by OpenAlex
- Cited by
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33Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 6, 2024: 5, 2023: 9, 2022: 13Per-year citation counts (last 5 years)
- References (count)
-
83Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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