Matches in SemOpenAlex for { <https://semopenalex.org/work/W4366333900> ?p ?o ?g. }
- W4366333900 abstract "Abstract Amino acid dynamics are significant in determining the overall function, structure, stability, and activity of proteins. However, atomic-level descriptions of the structural features of proteins are limited by the current resolutions of experimental and computational techniques. In this study, we developed a machine learning (ML) framework for characterizing the individual aminoacids dynamic in a protein and compute its contribution to the overall function of proteins. This framewor identifies specific types of angular features in amino acids, such as bimodal-switch residues. It can assist in the analysis of various protein characteristics and provide valuable insights into the dynamic behavior of individual amino acids within a protein structure. We found that there is a strong correlation between a specific type of bimodal-switch residues and the global features in proteins. This knowledge can help us to identify key residues that are strongly correlated to the overall function of the protein." @default.
- W4366333900 created "2023-04-20" @default.
- W4366333900 creator A5008745801 @default.
- W4366333900 creator A5047372785 @default.
- W4366333900 date "2023-04-18" @default.
- W4366333900 modified "2023-10-17" @default.
- W4366333900 title "A Machine Learning Method to Characterize Conformational Changes of Amino Acids in Proteins" @default.
- W4366333900 cites W1445935732 @default.
- W4366333900 cites W1491063910 @default.
- W4366333900 cites W1566694705 @default.
- W4366333900 cites W1908561802 @default.
- W4366333900 cites W1964296596 @default.
- W4366333900 cites W1965838279 @default.
- W4366333900 cites W2003281617 @default.
- W4366333900 cites W2003412353 @default.
- W4366333900 cites W2008609697 @default.
- W4366333900 cites W2020601776 @default.
- W4366333900 cites W2021639324 @default.
- W4366333900 cites W2026418335 @default.
- W4366333900 cites W2027486315 @default.
- W4366333900 cites W2029973510 @default.
- W4366333900 cites W2034315036 @default.
- W4366333900 cites W2041735927 @default.
- W4366333900 cites W2045876591 @default.
- W4366333900 cites W2047544230 @default.
- W4366333900 cites W2048822589 @default.
- W4366333900 cites W2058206198 @default.
- W4366333900 cites W2075460992 @default.
- W4366333900 cites W2081645999 @default.
- W4366333900 cites W2093221728 @default.
- W4366333900 cites W2094795801 @default.
- W4366333900 cites W2107165577 @default.
- W4366333900 cites W2118439948 @default.
- W4366333900 cites W2124745044 @default.
- W4366333900 cites W2126474446 @default.
- W4366333900 cites W2130479394 @default.
- W4366333900 cites W2132589721 @default.
- W4366333900 cites W2141218040 @default.
- W4366333900 cites W2176111714 @default.
- W4366333900 cites W2487770199 @default.
- W4366333900 cites W2590136671 @default.
- W4366333900 cites W2787894218 @default.
- W4366333900 cites W2892113269 @default.
- W4366333900 cites W2898210859 @default.
- W4366333900 cites W2964915524 @default.
- W4366333900 cites W3195952625 @default.
- W4366333900 cites W4232083525 @default.
- W4366333900 cites W4239327046 @default.
- W4366333900 cites W4280545640 @default.
- W4366333900 cites W429766147 @default.
- W4366333900 cites W4312121270 @default.
- W4366333900 cites W626438322 @default.
- W4366333900 cites W644444465 @default.
- W4366333900 doi "https://doi.org/10.1101/2023.04.16.536913" @default.
- W4366333900 hasPublicationYear "2023" @default.
- W4366333900 type Work @default.
- W4366333900 citedByCount "0" @default.
- W4366333900 crossrefType "posted-content" @default.
- W4366333900 hasAuthorship W4366333900A5008745801 @default.
- W4366333900 hasAuthorship W4366333900A5047372785 @default.
- W4366333900 hasBestOaLocation W43663339001 @default.
- W4366333900 hasConcept C104317684 @default.
- W4366333900 hasConcept C112972136 @default.
- W4366333900 hasConcept C119857082 @default.
- W4366333900 hasConcept C12554922 @default.
- W4366333900 hasConcept C14036430 @default.
- W4366333900 hasConcept C167625842 @default.
- W4366333900 hasConcept C185592680 @default.
- W4366333900 hasConcept C186060115 @default.
- W4366333900 hasConcept C2986374874 @default.
- W4366333900 hasConcept C2994376932 @default.
- W4366333900 hasConcept C41008148 @default.
- W4366333900 hasConcept C47701112 @default.
- W4366333900 hasConcept C515207424 @default.
- W4366333900 hasConcept C55493867 @default.
- W4366333900 hasConcept C70721500 @default.
- W4366333900 hasConcept C86803240 @default.
- W4366333900 hasConcept C95444343 @default.
- W4366333900 hasConceptScore W4366333900C104317684 @default.
- W4366333900 hasConceptScore W4366333900C112972136 @default.
- W4366333900 hasConceptScore W4366333900C119857082 @default.
- W4366333900 hasConceptScore W4366333900C12554922 @default.
- W4366333900 hasConceptScore W4366333900C14036430 @default.
- W4366333900 hasConceptScore W4366333900C167625842 @default.
- W4366333900 hasConceptScore W4366333900C185592680 @default.
- W4366333900 hasConceptScore W4366333900C186060115 @default.
- W4366333900 hasConceptScore W4366333900C2986374874 @default.
- W4366333900 hasConceptScore W4366333900C2994376932 @default.
- W4366333900 hasConceptScore W4366333900C41008148 @default.
- W4366333900 hasConceptScore W4366333900C47701112 @default.
- W4366333900 hasConceptScore W4366333900C515207424 @default.
- W4366333900 hasConceptScore W4366333900C55493867 @default.
- W4366333900 hasConceptScore W4366333900C70721500 @default.
- W4366333900 hasConceptScore W4366333900C86803240 @default.
- W4366333900 hasConceptScore W4366333900C95444343 @default.
- W4366333900 hasLocation W43663339001 @default.
- W4366333900 hasOpenAccess W4366333900 @default.
- W4366333900 hasPrimaryLocation W43663339001 @default.
- W4366333900 hasRelatedWork W1737498497 @default.
- W4366333900 hasRelatedWork W2053827245 @default.