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pro vyhledávání: '"Structure-mechanics statistical learning"'
Publikováno v:
Computational and Structural Biotechnology Journal, Vol 19, Iss , Pp 5309-5320 (2021)
A backbone-side-chain elastic network model (bsENM) is devised in this contribution to decipher the network of molecular interactions during protein dynamics. The chemical details in 5 μs all-atom molecular dynamics (MD) simulation are mapped onto t
Externí odkaz:
https://doaj.org/article/d5eee2f13627406682dfd959568a5dd3
Publikováno v:
Computational and Structural Biotechnology Journal
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 5309-5320 (2021)
Computational and Structural Biotechnology Journal, Vol 19, Iss, Pp 5309-5320 (2021)
Graphical abstract
Highlights • Statistical learning from protein dynamics unravels rigidities in interaction network. • Backbone and side-chain mechanical couplings exhibit scale-free network properties. • Graphical depiction of network r
Highlights • Statistical learning from protein dynamics unravels rigidities in interaction network. • Backbone and side-chain mechanical couplings exhibit scale-free network properties. • Graphical depiction of network r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8009d7bedf6462c8e8dadb6b6035e93e
https://doi.org/10.1016/j.csbj.2021.09.004
https://doi.org/10.1016/j.csbj.2021.09.004
Akademický článek
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