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For: Lam PV, Goldman R, Karagiannis K, Narsule T, Simonyan V, Soika V, Mazumder R. Structure-based comparative analysis and prediction of N-linked glycosylation sites in evolutionarily distant eukaryotes. Genomics Proteomics Bioinformatics 2013;11:96-104. [PMID: 23459159 DOI: 10.1016/j.gpb.2012.11.003] [Cited by in Crossref: 35] [Cited by in F6Publishing: 30] [Article Influence: 3.9] [Reference Citation Analysis]
Number Citing Articles
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2 Wang J, Wen H, Li M, Guo T, Chen C. N-Glycoproteome Reveals That N-Glycosylation Plays Crucial Roles in Photosynthesis and Carbon Metabolism in Young Rice Leaves. J Plant Biol 2020;63:165-75. [DOI: 10.1007/s12374-020-09243-9] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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6 Santana-Quintero L, Dingerdissen H, Thierry-Mieg J, Mazumder R, Simonyan V. HIVE-hexagon: high-performance, parallelized sequence alignment for next-generation sequencing data analysis. PLoS One 2014;9:e99033. [PMID: 24918764 DOI: 10.1371/journal.pone.0099033] [Cited by in Crossref: 27] [Cited by in F6Publishing: 20] [Article Influence: 3.4] [Reference Citation Analysis]
7 Dey KK, Xie D, Stephens M. A new sequence logo plot to highlight enrichment and depletion. BMC Bioinformatics 2018;19:473. [PMID: 30526486 DOI: 10.1186/s12859-018-2489-3] [Cited by in Crossref: 22] [Cited by in F6Publishing: 16] [Article Influence: 5.5] [Reference Citation Analysis]
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9 Li F, Li C, Revote J, Zhang Y, Webb GI, Li J, Song J, Lithgow T. GlycoMinestruct: a new bioinformatics tool for highly accurate mapping of the human N-linked and O-linked glycoproteomes by incorporating structural features. Sci Rep 2016;6:34595. [PMID: 27708373 DOI: 10.1038/srep34595] [Cited by in Crossref: 40] [Cited by in F6Publishing: 43] [Article Influence: 6.7] [Reference Citation Analysis]
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11 Cole C, Krampis K, Karagiannis K, Almeida JS, Faison WJ, Motwani M, Wan Q, Golikov A, Pan Y, Simonyan V, Mazumder R. Non-synonymous variations in cancer and their effects on the human proteome: workflow for NGS data biocuration and proteome-wide analysis of TCGA data. BMC Bioinformatics 2014;15:28. [PMID: 24467687 DOI: 10.1186/1471-2105-15-28] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 1.4] [Reference Citation Analysis]
12 Lombana TN, Matsumoto ML, Berkley AM, Toy E, Cook R, Gan Y, Du C, Schnier P, Sandoval W, Ye Z, Schartner JM, Kim J, Spiess C. High-resolution glycosylation site-engineering method identifies MICA epitope critical for shedding inhibition activity of anti-MICA antibodies. MAbs 2019;11:75-93. [PMID: 30307368 DOI: 10.1080/19420862.2018.1532767] [Cited by in Crossref: 3] [Cited by in F6Publishing: 4] [Article Influence: 0.8] [Reference Citation Analysis]
13 Struwe WB, Robinson CV. Relating glycoprotein structural heterogeneity to function - insights from native mass spectrometry. Curr Opin Struct Biol 2019;58:241-8. [PMID: 31326232 DOI: 10.1016/j.sbi.2019.05.019] [Cited by in Crossref: 17] [Cited by in F6Publishing: 11] [Article Influence: 5.7] [Reference Citation Analysis]
14 Scott BM, Chen SK, Bhattacharyya N, Moalim AY, Plotnikov SV, Heon E, Peisajovich SG, Chang BSW. Coupling of Human Rhodopsin to a Yeast Signaling Pathway Enables Characterization of Mutations Associated with Retinal Disease. Genetics 2019;211:597-615. [PMID: 30514708 DOI: 10.1534/genetics.118.301733] [Cited by in Crossref: 8] [Cited by in F6Publishing: 6] [Article Influence: 2.0] [Reference Citation Analysis]
15 Kurotani A, Sakurai T. In Silico Analysis of Correlations between Protein Disorder and Post-Translational Modifications in Algae. Int J Mol Sci 2015;16:19812-35. [PMID: 26307970 DOI: 10.3390/ijms160819812] [Cited by in Crossref: 13] [Cited by in F6Publishing: 15] [Article Influence: 1.9] [Reference Citation Analysis]
16 Han M, Yu X. Enhanced expression of heterologous proteins in yeast cells via the modification of N-glycosylation sites. Bioengineered 2015;6:115-8. [PMID: 25671496 DOI: 10.1080/21655979.2015.1011031] [Cited by in Crossref: 16] [Cited by in F6Publishing: 14] [Article Influence: 2.7] [Reference Citation Analysis]
17 Koh XY, Koh XH, Hwang LA, Ferrer FJ, Rahmat SAB, Lama D, Lane DP. Therapeutic anti-cancer activity of antibodies targeting sulfhydryl bond constrained epitopes on unglycosylated RON receptor tyrosine kinase. Oncogene 2019;38:7342-56. [PMID: 31417186 DOI: 10.1038/s41388-019-0946-8] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
18 Lannoo N, Van Damme EJ. Review/N-glycans: The making of a varied toolbox. Plant Science 2015;239:67-83. [DOI: 10.1016/j.plantsci.2015.06.023] [Cited by in Crossref: 52] [Cited by in F6Publishing: 47] [Article Influence: 7.4] [Reference Citation Analysis]
19 Silva Z, Ferro T, Almeida D, Soares H, Ferreira JA, Deschepper FM, Hensbergen PJ, Pirro M, van Vliet SJ, Springer S, Videira PA. MHC Class I Stability is Modulated by Cell Surface Sialylation in Human Dendritic Cells. Pharmaceutics 2020;12:E249. [PMID: 32164343 DOI: 10.3390/pharmaceutics12030249] [Cited by in Crossref: 6] [Cited by in F6Publishing: 5] [Article Influence: 3.0] [Reference Citation Analysis]
20 Pan Y, Karagiannis K, Zhang H, Dingerdissen H, Shamsaddini A, Wan Q, Simonyan V, Mazumder R. Human germline and pan-cancer variomes and their distinct functional profiles. Nucleic Acids Res 2014;42:11570-88. [PMID: 25232094 DOI: 10.1093/nar/gku772] [Cited by in Crossref: 19] [Cited by in F6Publishing: 19] [Article Influence: 2.4] [Reference Citation Analysis]
21 Dutta D, Mandal C, Mandal C. Unusual glycosylation of proteins: Beyond the universal sequon and other amino acids. Biochimica et Biophysica Acta (BBA) - General Subjects 2017;1861:3096-108. [DOI: 10.1016/j.bbagen.2017.08.025] [Cited by in Crossref: 18] [Cited by in F6Publishing: 14] [Article Influence: 3.6] [Reference Citation Analysis]
22 Lunetta JM, Pappagianis D. Identification, molecular characterization, and expression analysis of a DOMON-like type 9 carbohydrate-binding module domain-containing protein of Coccidioides posadasii. Med Mycol 2014;52:591-609. [PMID: 25023485 DOI: 10.1093/mmy/myu020] [Reference Citation Analysis]
23 Suttapitugsakul S, Ulmer LD, Jiang C, Sun F, Wu R. Surface Glycoproteomic Analysis Reveals That Both Unique and Differential Expression of Surface Glycoproteins Determine the Cell Type. Anal Chem 2019;91:6934-42. [PMID: 31025852 DOI: 10.1021/acs.analchem.9b01447] [Cited by in Crossref: 3] [Cited by in F6Publishing: 5] [Article Influence: 1.0] [Reference Citation Analysis]
24 Gulzar N, Dingerdissen H, Yan C, Mazumder R. Impact of Nonsynonymous Single-Nucleotide Variations on Post-Translational Modification Sites in Human Proteins. Methods Mol Biol 2017;1558:159-90. [PMID: 28150238 DOI: 10.1007/978-1-4939-6783-4_8] [Cited by in Crossref: 2] [Article Influence: 0.4] [Reference Citation Analysis]
25 Goettig P. Effects of Glycosylation on the Enzymatic Activity and Mechanisms of Proteases. Int J Mol Sci 2016;17:E1969. [PMID: 27898009 DOI: 10.3390/ijms17121969] [Cited by in Crossref: 56] [Cited by in F6Publishing: 46] [Article Influence: 9.3] [Reference Citation Analysis]
26 Mule SN, Rosa-Fernandes L, Coutinho JVP, Gomes VM, Macedo-da-Silva J, Santiago VF, Quina D, de Oliveira GS, Thaysen-Andersen M, Larsen MR, Labriola L, Palmisano G. Systems-wide analysis of glycoprotein conformational changes by limited deglycosylation assay. J Proteomics 2021;248:104355. [PMID: 34450331 DOI: 10.1016/j.jprot.2021.104355] [Reference Citation Analysis]
27 Gianazza E, Parravicini C, Primi R, Miller I, Eberini I. In silico prediction and characterization of protein post-translational modifications. J Proteomics 2016;134:65-75. [PMID: 26436211 DOI: 10.1016/j.jprot.2015.09.026] [Cited by in Crossref: 11] [Cited by in F6Publishing: 11] [Article Influence: 1.6] [Reference Citation Analysis]
28 Zhang C, Cai M, Chen S, Zhang F, Cui T, Xue Z, Wang W, Zhang B, Liu X. The consensus Nglyco -X-S/T motif and a previously unknown Nglyco -N-linked glycosylation are necessary for growth and pathogenicity of Phytophthora. Environ Microbiol 2021. [PMID: 33728790 DOI: 10.1111/1462-2920.15468] [Reference Citation Analysis]
29 Mohammad S, Bouchama A, Mohammad Alharbi B, Rashid M, Saleem Khatlani T, Gaber NS, Malik SS. SARS-CoV-2 ORF8 and SARS-CoV ORF8ab: Genomic Divergence and Functional Convergence. Pathogens 2020;9:E677. [PMID: 32825438 DOI: 10.3390/pathogens9090677] [Cited by in Crossref: 14] [Cited by in F6Publishing: 15] [Article Influence: 7.0] [Reference Citation Analysis]
30 Asselta R, Robusto M, Platé M, Santoro C, Peyvandi F, Duga S. Molecular characterization of 7 patients affected by dys- or hypo-dysfibrinogenemia: Identification of a novel mutation in the fibrinogen Bbeta chain causing a gain of glycosylation. Thromb Res 2015;136:168-74. [PMID: 26006300 DOI: 10.1016/j.thromres.2015.05.007] [Cited by in Crossref: 11] [Cited by in F6Publishing: 9] [Article Influence: 1.6] [Reference Citation Analysis]
31 Goldman R, Sanda M. Targeted methods for quantitative analysis of protein glycosylation. Proteomics Clin Appl 2015;9:17-32. [PMID: 25522218 DOI: 10.1002/prca.201400152] [Cited by in Crossref: 31] [Cited by in F6Publishing: 28] [Article Influence: 4.4] [Reference Citation Analysis]
32 Gastaldello A, Alocci D, Baeriswyl J, Mariethoz J, Lisacek F. GlycoSiteAlign: Glycosite Alignment Based on Glycan Structure. J Proteome Res 2016;15:3916-28. [DOI: 10.1021/acs.jproteome.6b00481] [Cited by in Crossref: 5] [Cited by in F6Publishing: 3] [Article Influence: 0.8] [Reference Citation Analysis]