Matches in SemOpenAlex for { <https://semopenalex.org/work/W4288085486> ?p ?o ?g. }
- W4288085486 endingPage "359" @default.
- W4288085486 startingPage "348" @default.
- W4288085486 abstract "The classification of proteins according to structural similarities is an increasingly relevant issue in biochemistry in the upcoming big data era. Proper choices of parameters, containing invariant structural information, could possibly induce convenient grouping of structures depending on structural motifs or also individual amino acid properties. Here, we give a summary of the theoretical background of parameter derivation from many-body hyperspherical coordinates and continue a previous work based on the use of shape parameters and deformation indexes. Such quantities are derived from “symmetric” hyperspherical coordinates and applied to a large set of protein structures each represented as a network of nodes corresponding to the amino acid residue centers of mass." @default.
- W4288085486 created "2022-07-28" @default.
- W4288085486 creator A5046080349 @default.
- W4288085486 creator A5070740378 @default.
- W4288085486 creator A5086060513 @default.
- W4288085486 date "2022-01-01" @default.
- W4288085486 modified "2023-09-27" @default.
- W4288085486 title "Protein Networks by Invariant Shape Coordinates and Deformation Indexes" @default.
- W4288085486 cites W149653342 @default.
- W4288085486 cites W1577836723 @default.
- W4288085486 cites W1810486967 @default.
- W4288085486 cites W1919309388 @default.
- W4288085486 cites W1968555961 @default.
- W4288085486 cites W1974947190 @default.
- W4288085486 cites W1976895800 @default.
- W4288085486 cites W1981762245 @default.
- W4288085486 cites W1984615164 @default.
- W4288085486 cites W1990051985 @default.
- W4288085486 cites W1992021444 @default.
- W4288085486 cites W1992215077 @default.
- W4288085486 cites W1993790730 @default.
- W4288085486 cites W1997141932 @default.
- W4288085486 cites W1998025723 @default.
- W4288085486 cites W2000849979 @default.
- W4288085486 cites W2003877822 @default.
- W4288085486 cites W2007235339 @default.
- W4288085486 cites W2029494076 @default.
- W4288085486 cites W2030315670 @default.
- W4288085486 cites W2036403053 @default.
- W4288085486 cites W2037048991 @default.
- W4288085486 cites W2041486187 @default.
- W4288085486 cites W2053878592 @default.
- W4288085486 cites W2063439567 @default.
- W4288085486 cites W2066178240 @default.
- W4288085486 cites W2068759810 @default.
- W4288085486 cites W2072466639 @default.
- W4288085486 cites W2072818872 @default.
- W4288085486 cites W2076225660 @default.
- W4288085486 cites W2086081853 @default.
- W4288085486 cites W2087458906 @default.
- W4288085486 cites W2089191338 @default.
- W4288085486 cites W2090892848 @default.
- W4288085486 cites W2091246540 @default.
- W4288085486 cites W2110784692 @default.
- W4288085486 cites W2130479394 @default.
- W4288085486 cites W2148225024 @default.
- W4288085486 cites W2322215908 @default.
- W4288085486 cites W2322725607 @default.
- W4288085486 cites W2331720500 @default.
- W4288085486 cites W2331827525 @default.
- W4288085486 cites W2400511395 @default.
- W4288085486 cites W2402146903 @default.
- W4288085486 cites W2502346574 @default.
- W4288085486 cites W2533822032 @default.
- W4288085486 cites W2587461713 @default.
- W4288085486 cites W2945775854 @default.
- W4288085486 cites W2948354145 @default.
- W4288085486 cites W2954111014 @default.
- W4288085486 cites W2955439412 @default.
- W4288085486 cites W2955980658 @default.
- W4288085486 cites W2995413840 @default.
- W4288085486 cites W2996309875 @default.
- W4288085486 cites W3147663148 @default.
- W4288085486 cites W316170765 @default.
- W4288085486 cites W3200958208 @default.
- W4288085486 cites W3207990842 @default.
- W4288085486 cites W37734220 @default.
- W4288085486 cites W6138653 @default.
- W4288085486 doi "https://doi.org/10.1007/978-3-031-10592-0_26" @default.
- W4288085486 hasPublicationYear "2022" @default.
- W4288085486 type Work @default.
- W4288085486 citedByCount "1" @default.
- W4288085486 countsByYear W42880854862023 @default.
- W4288085486 crossrefType "book-chapter" @default.
- W4288085486 hasAuthorship W4288085486A5046080349 @default.
- W4288085486 hasAuthorship W4288085486A5070740378 @default.
- W4288085486 hasAuthorship W4288085486A5086060513 @default.
- W4288085486 hasConcept C104317684 @default.
- W4288085486 hasConcept C105815890 @default.
- W4288085486 hasConcept C121332964 @default.
- W4288085486 hasConcept C134306372 @default.
- W4288085486 hasConcept C153294291 @default.
- W4288085486 hasConcept C167625842 @default.
- W4288085486 hasConcept C185592680 @default.
- W4288085486 hasConcept C186060115 @default.
- W4288085486 hasConcept C190470478 @default.
- W4288085486 hasConcept C204366326 @default.
- W4288085486 hasConcept C2781338088 @default.
- W4288085486 hasConcept C2994376932 @default.
- W4288085486 hasConcept C33923547 @default.
- W4288085486 hasConcept C37914503 @default.
- W4288085486 hasConcept C41008148 @default.
- W4288085486 hasConcept C47701112 @default.
- W4288085486 hasConcept C55493867 @default.
- W4288085486 hasConcept C86803240 @default.
- W4288085486 hasConceptScore W4288085486C104317684 @default.
- W4288085486 hasConceptScore W4288085486C105815890 @default.
- W4288085486 hasConceptScore W4288085486C121332964 @default.