| Id |
Subject |
Object |
Predicate |
Lexical cue |
| TextSentencer_T1 |
0-85 |
Sentence |
denotes |
De novo glycan structure search with the CID MS/MS spectra of native N-glycopeptides. |
| T1 |
0-85 |
Sentence |
denotes |
De novo glycan structure search with the CID MS/MS spectra of native N-glycopeptides. |
| T1 |
0-85 |
Sentence |
denotes |
De novo glycan structure search with the CID MS/MS spectra of native N-glycopeptides. |
| TextSentencer_T2 |
86-245 |
Sentence |
denotes |
The aim of our study is to automatically analyze the glycan and peptide structures of N-glycopeptides without a need to release glycans from the glycopeptides. |
| T2 |
86-245 |
Sentence |
denotes |
The aim of our study is to automatically analyze the glycan and peptide structures of N-glycopeptides without a need to release glycans from the glycopeptides. |
| T2 |
86-245 |
Sentence |
denotes |
The aim of our study is to automatically analyze the glycan and peptide structures of N-glycopeptides without a need to release glycans from the glycopeptides. |
| TextSentencer_T3 |
246-448 |
Sentence |
denotes |
Our wet laboratory raw data represent a series of MS/MS mass spectra obtained from a reverse-phase liquid chromatography run of size-exclusion-enriched tryptic-digested glycopeptides from glycoproteins. |
| T3 |
246-448 |
Sentence |
denotes |
Our wet laboratory raw data represent a series of MS/MS mass spectra obtained from a reverse-phase liquid chromatography run of size-exclusion-enriched tryptic-digested glycopeptides from glycoproteins. |
| T3 |
246-448 |
Sentence |
denotes |
Our wet laboratory raw data represent a series of MS/MS mass spectra obtained from a reverse-phase liquid chromatography run of size-exclusion-enriched tryptic-digested glycopeptides from glycoproteins. |
| TextSentencer_T4 |
449-599 |
Sentence |
denotes |
The MS/MS spectra are first analyzed in order to identify glycosylated peptides and N-glycan monosaccharide compositions present on each glycopeptide. |
| T4 |
449-599 |
Sentence |
denotes |
The MS/MS spectra are first analyzed in order to identify glycosylated peptides and N-glycan monosaccharide compositions present on each glycopeptide. |
| T4 |
449-599 |
Sentence |
denotes |
The MS/MS spectra are first analyzed in order to identify glycosylated peptides and N-glycan monosaccharide compositions present on each glycopeptide. |
| TextSentencer_T5 |
600-777 |
Sentence |
denotes |
We further developed a Branch-and-Bound algorithm to search de novo N-glycan structures, i.e., monosaccharide compositions and their ordered sequences from native glycopeptides. |
| T5 |
600-777 |
Sentence |
denotes |
We further developed a Branch-and-Bound algorithm to search de novo N-glycan structures, i.e., monosaccharide compositions and their ordered sequences from native glycopeptides. |
| T5 |
600-777 |
Sentence |
denotes |
We further developed a Branch-and-Bound algorithm to search de novo N-glycan structures, i.e., monosaccharide compositions and their ordered sequences from native glycopeptides. |
| TextSentencer_T6 |
778-937 |
Sentence |
denotes |
Our de novo algorithm is based on iterative growth and selection of a population of glycan structures and it does not use databases of known glycan structures. |
| T6 |
778-937 |
Sentence |
denotes |
Our de novo algorithm is based on iterative growth and selection of a population of glycan structures and it does not use databases of known glycan structures. |
| T6 |
778-937 |
Sentence |
denotes |
Our de novo algorithm is based on iterative growth and selection of a population of glycan structures and it does not use databases of known glycan structures. |
| TextSentencer_T7 |
938-1169 |
Sentence |
denotes |
We validate the algorithm with (i) in silico-generated spectra, with or without deteriorating deletions, (ii) with a purified glycoprotein transferrin, and (iii) with a complex mixture of N-glycopeptides enriched from human plasma. |
| T7 |
938-1169 |
Sentence |
denotes |
We validate the algorithm with (i) in silico-generated spectra, with or without deteriorating deletions, (ii) with a purified glycoprotein transferrin, and (iii) with a complex mixture of N-glycopeptides enriched from human plasma. |
| T7 |
938-1169 |
Sentence |
denotes |
We validate the algorithm with (i) in silico-generated spectra, with or without deteriorating deletions, (ii) with a purified glycoprotein transferrin, and (iii) with a complex mixture of N-glycopeptides enriched from human plasma. |
| TextSentencer_T8 |
1170-1280 |
Sentence |
denotes |
Our Branch-and-Bound algorithm depicted glycan structures from all the above-mentioned three input data types. |
| T8 |
1170-1280 |
Sentence |
denotes |
Our Branch-and-Bound algorithm depicted glycan structures from all the above-mentioned three input data types. |
| T8 |
1170-1280 |
Sentence |
denotes |
Our Branch-and-Bound algorithm depicted glycan structures from all the above-mentioned three input data types. |
| TextSentencer_T9 |
1281-1434 |
Sentence |
denotes |
Due to the large diversity of glycan structures, the results typically contained several proposed structures matching almost equally well to the spectra. |
| T9 |
1281-1434 |
Sentence |
denotes |
Due to the large diversity of glycan structures, the results typically contained several proposed structures matching almost equally well to the spectra. |
| T9 |
1281-1434 |
Sentence |
denotes |
Due to the large diversity of glycan structures, the results typically contained several proposed structures matching almost equally well to the spectra. |
| TextSentencer_T10 |
1435-1653 |
Sentence |
denotes |
In conclusion, this algorithm automatically identifies glycopeptides and their structures from the MS/MS spectra and thus greatly reduces the number of possible glycan structures from the vast amount of potential ones. |
| T10 |
1435-1653 |
Sentence |
denotes |
In conclusion, this algorithm automatically identifies glycopeptides and their structures from the MS/MS spectra and thus greatly reduces the number of possible glycan structures from the vast amount of potential ones. |
| T10 |
1435-1653 |
Sentence |
denotes |
In conclusion, this algorithm automatically identifies glycopeptides and their structures from the MS/MS spectra and thus greatly reduces the number of possible glycan structures from the vast amount of potential ones. |