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Identifying medically relevant xenon protein targets by in silico screening of the structural proteome
In a previous study, in silico screening of the binding of almost all proteins in the Protein Data Bank to each of the five noble gases xenon, krypton, argon, neon, and helium was reported. This massive and rich data set requires analysis to identify the gas-protein interactions that have the best b...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wolters Kluwer - Medknow
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9480358/ https://www.ncbi.nlm.nih.gov/pubmed/35946221 http://dx.doi.org/10.4103/2045-9912.333858 |