2020
DOI: 10.1016/j.csbj.2020.06.043
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Exploring protein phosphorylation by combining computational approaches and biochemical methods

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Cited by 32 publications
(19 citation statements)
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References 165 publications
(218 reference statements)
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“…A detailed knowledge of the molecular bases of disease-related dysregulation of PTMs on RBPs hold promise for helping to diagnosis, prognosis and treatment of many severe illnesses by revealing new biomarkers and therapeutic targets. Such a research task will indeed benefit from a multidisciplinary approach that allows investigators to keep pushing the boundaries in this field, through the combination of genomic and proteomic tools, cell-based assays, biophysical techniques and bioinformatic methods ( Foshag et al, 2018 ; Huang R. et al, 2019 ; Liu and Liu, 2020 ; Pérez-Mejías et al, 2020 ; Van Nostrand et al, 2020 ). Nonetheless, further technological and methodological advances will also be necessary to fully unravel the mechanisms behind the PTM control of RBPs.…”
Section: Discussionmentioning
confidence: 99%
“…A detailed knowledge of the molecular bases of disease-related dysregulation of PTMs on RBPs hold promise for helping to diagnosis, prognosis and treatment of many severe illnesses by revealing new biomarkers and therapeutic targets. Such a research task will indeed benefit from a multidisciplinary approach that allows investigators to keep pushing the boundaries in this field, through the combination of genomic and proteomic tools, cell-based assays, biophysical techniques and bioinformatic methods ( Foshag et al, 2018 ; Huang R. et al, 2019 ; Liu and Liu, 2020 ; Pérez-Mejías et al, 2020 ; Van Nostrand et al, 2020 ). Nonetheless, further technological and methodological advances will also be necessary to fully unravel the mechanisms behind the PTM control of RBPs.…”
Section: Discussionmentioning
confidence: 99%
“…Consensus sequences of SLiMs for protein kinases are characterized and suggested from structural studies on protein kinases in complex with their protein substrates or peptide substrates. In addition to structural approaches, mass spectrometry-based proteomics, phage display, peptide arrays, and computational approaches have been used as major tools for identifying the residues required for optimal substrate phosphorylation/dephosphorylation [ 72 , 73 , 74 , 75 , 76 ].…”
Section: Substrate Recognition With Short Linear Motifs (Slims)mentioning
confidence: 99%
“…The use of non-canonical amino acids aims at a better emulating the physical properties of the target residues—e.g., the volume and/or charge—as compared to canonical substitutions ( Table S1 ) [ 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 ]. A good example is the non-natural residue p-carboxymethyl-L-phenylalanine (pCMF), which has been widely used to mimic tyrosine phosphorylation [ 77 ].…”
Section: Post-translational Modifications Of Cytochrome mentioning
confidence: 99%