FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2225702986> ?p ?o ?g. }

• W2225702986 endingPage "84" @default.
• W2225702986 startingPage "75" @default.
• W2225702986 abstract "Naturally selected amino-acid sequences or experimentally derived ones are often the basis for understanding how protein three-dimensional conformation and function are determined by primary structure. Such sequences for a protein family comprise only a small fraction of all possible variants, however, representing the fitness landscape with limited scope. Explicitly sampling and characterizing alternative, unexplored protein sequences would directly identify fundamental reasons for sequence robustness (or variability), and we demonstrate that computational methods offer an efficient mechanism toward this end, on a large scale. The dead-end elimination and A(∗) search algorithms were used here to find all low-energy single mutant variants, and corresponding structures of a G-protein heterotrimer, to measure changes in structural stability and binding interactions to define a protein fitness landscape. We established consistency between these algorithms with known biophysical and evolutionary trends for amino-acid substitutions, and could thus recapitulate known protein side-chain interactions and predict novel ones." @default.
• W2225702986 created "2016-06-24" @default.
• W2225702986 creator A5035294993 @default.
• W2225702986 creator A5090888082 @default.
• W2225702986 date "2016-01-01" @default.
• W2225702986 modified "2023-09-30" @default.
• W2225702986 title "Direct Calculation of Protein Fitness Landscapes through Computational Protein Design" @default.
• W2225702986 cites W1204462901 @default.
• W2225702986 cites W1490451576 @default.
• W2225702986 cites W1492894785 @default.
• W2225702986 cites W1500095367 @default.
• W2225702986 cites W1591707154 @default.
• W2225702986 cites W1606622913 @default.
• W2225702986 cites W1908186060 @default.
• W2225702986 cites W1965205049 @default.
• W2225702986 cites W1968657531 @default.
• W2225702986 cites W1968733906 @default.
• W2225702986 cites W1969190415 @default.
• W2225702986 cites W1972728295 @default.
• W2225702986 cites W1973578915 @default.
• W2225702986 cites W1975313783 @default.
• W2225702986 cites W1976499671 @default.
• W2225702986 cites W1979035442 @default.
• W2225702986 cites W1982792504 @default.
• W2225702986 cites W1984212762 @default.
• W2225702986 cites W1989527063 @default.
• W2225702986 cites W1992426410 @default.
• W2225702986 cites W1998645872 @default.
• W2225702986 cites W2001842251 @default.
• W2225702986 cites W2003329164 @default.
• W2225702986 cites W2009123297 @default.
• W2225702986 cites W2009166458 @default.
• W2225702986 cites W2011469637 @default.
• W2225702986 cites W2027189612 @default.
• W2225702986 cites W2027408247 @default.
• W2225702986 cites W2027542864 @default.
• W2225702986 cites W2032675793 @default.
• W2225702986 cites W2037006133 @default.
• W2225702986 cites W2042655455 @default.
• W2225702986 cites W2043883458 @default.
• W2225702986 cites W2046200242 @default.
• W2225702986 cites W2053937911 @default.
• W2225702986 cites W2057857465 @default.
• W2225702986 cites W2065608907 @default.
• W2225702986 cites W2076738134 @default.
• W2225702986 cites W2077301629 @default.
• W2225702986 cites W2083028331 @default.
• W2225702986 cites W2084276913 @default.
• W2225702986 cites W2085144875 @default.
• W2225702986 cites W2085497102 @default.
• W2225702986 cites W2090494942 @default.
• W2225702986 cites W2092006899 @default.
• W2225702986 cites W2095039045 @default.
• W2225702986 cites W2097382368 @default.
• W2225702986 cites W2102376488 @default.
• W2225702986 cites W2106320506 @default.
• W2225702986 cites W2107317356 @default.
• W2225702986 cites W2107394837 @default.
• W2225702986 cites W2107537459 @default.
• W2225702986 cites W2108237355 @default.
• W2225702986 cites W2114843025 @default.
• W2225702986 cites W2115339329 @default.
• W2225702986 cites W2118151336 @default.
• W2225702986 cites W2125717174 @default.
• W2225702986 cites W2128831799 @default.
• W2225702986 cites W2131569083 @default.
• W2225702986 cites W2132262459 @default.
• W2225702986 cites W2132926880 @default.
• W2225702986 cites W2136906322 @default.
• W2225702986 cites W2140248032 @default.
• W2225702986 cites W2143210482 @default.
• W2225702986 cites W2144362290 @default.
• W2225702986 cites W2145457496 @default.
• W2225702986 cites W2149441684 @default.
• W2225702986 cites W2150981663 @default.
• W2225702986 cites W2151887741 @default.
• W2225702986 cites W2153283433 @default.
• W2225702986 cites W2164958220 @default.
• W2225702986 cites W2169887070 @default.
• W2225702986 cites W2172114588 @default.
• W2225702986 doi "https://doi.org/10.1016/j.bpj.2015.11.029" @default.
• W2225702986 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/4712201" @default.
• W2225702986 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/26745411" @default.
• W2225702986 hasPublicationYear "2016" @default.
• W2225702986 type Work @default.
• W2225702986 sameAs 2225702986 @default.
• W2225702986 citedByCount "6" @default.
• W2225702986 countsByYear W22257029862016 @default.
• W2225702986 countsByYear W22257029862017 @default.
• W2225702986 countsByYear W22257029862019 @default.
• W2225702986 countsByYear W22257029862022 @default.
• W2225702986 crossrefType "journal-article" @default.
• W2225702986 hasAuthorship W2225702986A5035294993 @default.
• W2225702986 hasAuthorship W2225702986A5090888082 @default.
• W2225702986 hasBestOaLocation W22257029861 @default.
• W2225702986 hasConcept C10010492 @default.
• W2225702986 hasConcept C104317684 @default.
• W2225702986 hasConcept C119621388 @default.

• next