Matches in SemOpenAlex for { <https://semopenalex.org/work/W2063710860> ?p ?o ?g. }
- W2063710860 endingPage "762" @default.
- W2063710860 startingPage "749" @default.
- W2063710860 abstract "Models for exploring tyrosine nitration in proteins have been created based on 3D structural features of 20 proteins for which high-resolution X-ray crystallographic or NMR data are available and for which nitration of 35 total tyrosines has been experimentally proven under oxidative stress. Factors suggested in previous work to enhance nitration were examined with quantitative structural descriptors. The role of neighboring acidic and basic residues is complex: for the majority of tyrosines that are nitrated the distance to the heteroatom of the closest charged side chain corresponds to the distance needed for suspected nitrating species to form hydrogen bond bridges between the tyrosine and that charged amino acid. This suggests that such bridges play a very important role in tyrosine nitration. Nitration is generally hindered for tyrosines that are buried and for those tyrosines for which there is insufficient space for the nitro group. For in vitro nitration, closed environments with nearby heteroatoms or unsaturated centers that can stabilize radicals are somewhat favored. Four quantitative structure-based models, depending on the conditions of nitration, have been developed for predicting site-specific tyrosine nitration. The best model, relevant for both in vitro and in vivo cases, predicts 30 of 35 tyrosine nitrations (positive predictive value) and has a sensitivity of 60/71 (11 false positives)." @default.
- W2063710860 created "2016-06-24" @default.
- W2063710860 creator A5002391708 @default.
- W2063710860 creator A5005157610 @default.
- W2063710860 creator A5007894073 @default.
- W2063710860 creator A5033284748 @default.
- W2063710860 creator A5066778857 @default.
- W2063710860 date "2011-03-01" @default.
- W2063710860 modified "2023-10-16" @default.
- W2063710860 title "Factors influencing protein tyrosine nitration—structure-based predictive models" @default.
- W2063710860 cites W1556989682 @default.
- W2063710860 cites W1607661534 @default.
- W2063710860 cites W1725300350 @default.
- W2063710860 cites W1745951729 @default.
- W2063710860 cites W1846192605 @default.
- W2063710860 cites W1964066180 @default.
- W2063710860 cites W1964659169 @default.
- W2063710860 cites W1966330869 @default.
- W2063710860 cites W1969558597 @default.
- W2063710860 cites W1969941249 @default.
- W2063710860 cites W1970354788 @default.
- W2063710860 cites W1972639869 @default.
- W2063710860 cites W1974037244 @default.
- W2063710860 cites W1974274098 @default.
- W2063710860 cites W1975952514 @default.
- W2063710860 cites W1988392976 @default.
- W2063710860 cites W1995314281 @default.
- W2063710860 cites W1995674872 @default.
- W2063710860 cites W1996899753 @default.
- W2063710860 cites W1998148549 @default.
- W2063710860 cites W2002120674 @default.
- W2063710860 cites W2004503735 @default.
- W2063710860 cites W2004806037 @default.
- W2063710860 cites W2007651247 @default.
- W2063710860 cites W2010366556 @default.
- W2063710860 cites W2017758139 @default.
- W2063710860 cites W2021826830 @default.
- W2063710860 cites W2023391213 @default.
- W2063710860 cites W2024308660 @default.
- W2063710860 cites W2031904472 @default.
- W2063710860 cites W2038365387 @default.
- W2063710860 cites W2039290504 @default.
- W2063710860 cites W2039626545 @default.
- W2063710860 cites W2044800103 @default.
- W2063710860 cites W2045285883 @default.
- W2063710860 cites W2053395068 @default.
- W2063710860 cites W2053463728 @default.
- W2063710860 cites W2054336997 @default.
- W2063710860 cites W2054989465 @default.
- W2063710860 cites W2057565131 @default.
- W2063710860 cites W2059960292 @default.
- W2063710860 cites W2059981265 @default.
- W2063710860 cites W2061995199 @default.
- W2063710860 cites W2065252220 @default.
- W2063710860 cites W2071164054 @default.
- W2063710860 cites W2071465093 @default.
- W2063710860 cites W2076839694 @default.
- W2063710860 cites W2077386186 @default.
- W2063710860 cites W2078949076 @default.
- W2063710860 cites W2086354788 @default.
- W2063710860 cites W2088323144 @default.
- W2063710860 cites W2088472463 @default.
- W2063710860 cites W2090563896 @default.
- W2063710860 cites W2091172912 @default.
- W2063710860 cites W2092888190 @default.
- W2063710860 cites W2093059615 @default.
- W2063710860 cites W2093089349 @default.
- W2063710860 cites W2097369125 @default.
- W2063710860 cites W2104916532 @default.
- W2063710860 cites W2106199110 @default.
- W2063710860 cites W2107244464 @default.
- W2063710860 cites W2117327744 @default.
- W2063710860 cites W2121191392 @default.
- W2063710860 cites W2122386753 @default.
- W2063710860 cites W2124540342 @default.
- W2063710860 cites W2124598877 @default.
- W2063710860 cites W2128022125 @default.
- W2063710860 cites W2130479394 @default.
- W2063710860 cites W2131474149 @default.
- W2063710860 cites W2134776368 @default.
- W2063710860 cites W2138701720 @default.
- W2063710860 cites W2150916538 @default.
- W2063710860 cites W2204332668 @default.
- W2063710860 cites W4318971666 @default.
- W2063710860 cites W2051578299 @default.
- W2063710860 doi "https://doi.org/10.1016/j.freeradbiomed.2010.12.016" @default.
- W2063710860 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/3039091" @default.
- W2063710860 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/21172423" @default.
- W2063710860 hasPublicationYear "2011" @default.
- W2063710860 type Work @default.
- W2063710860 sameAs 2063710860 @default.
- W2063710860 citedByCount "39" @default.
- W2063710860 countsByYear W20637108602012 @default.
- W2063710860 countsByYear W20637108602013 @default.
- W2063710860 countsByYear W20637108602014 @default.
- W2063710860 countsByYear W20637108602015 @default.
- W2063710860 countsByYear W20637108602016 @default.
- W2063710860 countsByYear W20637108602017 @default.