Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:4.1.2.13 (aldolase)
 3,461 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Casein kinase I (CKI) is a widely expressed protein kinase family implicated in diverse processes including membrane trafficking, DNA repair, and circadian rhythm. Despite the large number of CKI genes, few biologically relevant substrates have been identified. As an approach to better defining the spectrum of CKI substrates, we extended a recently described in vitro expression cloning (IVEC) strategy. Polypeptides pools were screened for kinase-dependent electrophoretic mobility shifts. Ten putative CKI substrates were isolated from an initial sample of 3000 random cDNA clones. Candidate substrates include proteins involved in RNA metabolism (a putative RNA helicase, the nucleolar protein hNOP56, and hnRNP A1, and ribosomal proteins L4, L8, and L13), as well as keratin 17, a necdin-related protein, and the calcium-binding proteins desmoglein 2 and annexin II. The same pools were also screened with active ERK2, and four substrates identified: aldolase, NSD-like protein, uracil-DNA glycosylase, and HHR23A. IVEC is an effective method to identify novel protein kinase substrates.
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PMID:Identification of casein kinase I substrates by in vitro expression cloning screening. 1067 43

Three-dimensional cluster analysis offers a method for the prediction of functional residue clusters in proteins. This method requires a representative structure and a multiple sequence alignment as input data. Individual residues are represented in terms of regional alignments that reflect both their structural environment and their evolutionary variation, as defined by the alignment of homologous sequences. From the overall (global) and the residue-specific (regional) alignments, we calculate the global and regional similarity matrices, containing scores for all pairwise sequence comparisons in the respective alignments. Comparing the matrices yields two scores for each residue. The regional conservation score (C(R)(x)) defines the conservation of each residue x and its neighbors in 3D space relative to the protein as a whole. The similarity deviation score (S(x)) detects residue clusters with sequence similarities that deviate from the similarities suggested by the full-length sequences. We evaluated 3D cluster analysis on a set of 35 families of proteins with available cocrystal structures, showing small ligand interfaces, nucleic acid interfaces and two types of protein-protein interfaces (transient and stable). We present two examples in detail: fructose-1,6-bisphosphate aldolase and the mitogen-activated protein kinase ERK2. We found that the regional conservation score (C(R)(x)) identifies functional residue clusters better than a scoring scheme that does not take 3D information into account. C(R)(x) is particularly useful for the prediction of poorly conserved, transient protein-protein interfaces. Many of the proteins studied contained residue clusters with elevated similarity deviation scores. These residue clusters correlate with specificity-conferring regions: 3D cluster analysis therefore represents an easily applied method for the prediction of functionally relevant spatial clusters of residues in proteins.
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PMID:Three-dimensional cluster analysis identifies interfaces and functional residue clusters in proteins. 1129 55