title: Elucidation, functional clustering and structural characterization of βTrCP1 substrates through a molecular dynamics study.
abstract: The current interest in the identification and characterization of βTrCP1 substrates necessitates a promising approach with broad structural constraints of WD40 potential binding sites. Here, we employed an in silico integrative approach to identify putative novel substrates of βTrCP1. Through a screened degradation motif (DSGXXS) for the entire human proteome and comparative substrate binding analysis of βTrCP1, we identified 344 substrates, sharing high sequence similarity with the consensus motif. Subsequent filtering on the basis of functional annotation and clustering resulted in the isolation of hits having clear roles in various cancer types. These substrates were phosphorylated at the Ser residues (Ser14 and Ser18) of the conserved motif. A comprehensive and thorough analysis of βTrCP1-phosphopeptide association indicated residual contributions located at the upper face of the β-propeller. Evidently, upon binding to phosphopeptides, the central channel of βTrCP1 attains a more open conformation to assist substrate binding. To elaborate the oncogenic function of βTrCP1, the SKP1-βTrCP1-CDH6 ternary complex was docked against CUL1-RBX1 and the acquired model exactly resembled the previously characterized SKP1-βTrCP1-β-catenin model. Overall, a deeper understanding of substrate targeting mechanisms coupled with the structural knowledge of βTrCP1 and associated proteins will be useful for designing novel targets for cancer therapeutics.
authors.affiliation: National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan. sajidrwp@yahoo.co.uk.
authors.forename: Shagufta
authors.initials: S
authors.lastname: Shafique
authors.affiliation: National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan. sajidrwp@yahoo.co.uk.
authors.forename: Saima
authors.initials: S
authors.lastname: Younis
authors.affiliation: National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan. sajidrwp@yahoo.co.uk.
authors.forename: Hafsa
authors.initials: H
authors.lastname: Niaz
authors.affiliation: National Center for Bioinformatics, Quaid-i-Azam University, Islamabad, Pakistan. sajidrwp@yahoo.co.uk.
authors.forename: Sajid
authors.initials: S
authors.lastname: Rashid
mesh_terms: D020816:Amino Acid Motifs; D001665:Binding Sites; D016000:Cluster Analysis; D006860:Hydrogen Bonding; D008024:Ligands; D008968:Molecular Conformation; D062105:Molecular Docking Simulation; D056004:Molecular Dynamics Simulation; D010748:Phosphopeptides / Q000737:chemistry / Q000378:metabolism; D056510:Position-Specific Scoring Matrices; D011485:Protein Binding; D013329:Structure-Activity Relationship; D013379:Substrate Specificity; D044844:beta-Transducin Repeat-Containing Proteins / Q000737:chemistry* / Q000378:metabolism
chemical_list: D008024:Ligands; D010748:Phosphopeptides; D044844:beta-Transducin Repeat-Containing Proteins