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Correction: Predictive chromatography of peptides and proteins as a complementary tool for proteomics
Irina A.
Tarasova
a,
Christophe D.
Masselon
bc,
Alexander V.
Gorshkov
d and
Mikhail V.
Gorshkov
*ae
aInstitute for Energy Problems of Chemical Physics, Russian Academy of Sciences, Moscow 119334, Russia. E-mail: mike.gorshkov@gmail.com
bCEA, iRTSV-BGE, Laboratoire d'Etude de la Dynamique des Protéomes, Grenoble, F-38000, France
cINSERM, U1038-BGE, F-38000, Grenoble, France
dN.N. Semenov Institute of Chemical Physics, Russian Academy of Sciences, Moscow 119991, Russia
eMoscow Institute of Physics and Technology (State University), Dolgoprudny, Moscow region 141700, Russia
First published on 22nd May 2017
Abstract
Correction for ‘Predictive chromatography of peptides and proteins as a complementary tool for proteomics’ by Irina A. Tarasova et al., Analyst, 2016, 141, 4816–4832.
Within the Performance comparison section, on p. 4823, the text
“For example, the SSRCalc model demonstrated accuracies of 0.95 to 0.96R2 for data sets consisting of ∼12![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif)
000 HeLa tryptic peptides and ∼3200 HeLa elastase peptides, but a lower correlation of 0.93R2 for ∼9900 tryptic peptides identified in baker's yeast from ABRF 2015 iPRG study. PNNL NET's best result of 0.95R2 was obtained for the same 12000 HeLa tryptic peptides, while its accuracy did not exceed 0.93R2 for the remaining data.”
should be replaced with the following:
“The SSRCalc model demonstrated persistent accuracies of 0.95 to 0.96R2 for all considered data sets. PNNL NET's best result of 0.95R2 was obtained for the 12000 HeLa tryptic peptides and the 9900 yeast tryptic peptides identified in baker's yeast from ABRF 2015 iPRG study, while its accuracy did not exceed 0.93R2 for the remaining data.”
Also, Fig. 1 should be amended and the corrected version is shown here:
The Royal Society of Chemistry apologises for these errors and any consequent inconvenience to authors and readers.
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