| Literature DB >> 32545875 |
Chakia J McClendon1, W Todd Miller1,2.
Abstract
Src-related kinase lacking C-terminal regulatory tyrosine and N-terminal myristoylation sites (SRMS) is a tyrosine kinase that was discovered in 1994. It is a member of a family of nonreceptor tyrosine kinases that also includes Brk (PTK6) and Frk. Compared with other tyrosine kinases, there is relatively little information about the structure, function, and regulation of SRMS. In this review, we summarize the current state of knowledge regarding SRMS, including recent results aimed at identifying downstream signaling partners. We also present a structural model for the enzyme and discuss the potential involvement of SRMS in cancer cell signaling.Entities:
Keywords: SH2 domains; SH3 domains; Src family kinases; phosphorylation; signal transduction; tyrosine kinase
Year: 2020 PMID: 32545875 PMCID: PMC7352994 DOI: 10.3390/ijms21124233
Source DB: PubMed Journal: Int J Mol Sci ISSN: 1422-0067 Impact factor: 5.923
Figure 1Domain structures of Src kinase and SRMS (Src-related kinase lacking C-terminal regulatory tyrosine and N-terminal myristoylation sites). The major autophosphorylation sites are indicated in red. In Src, phosphorylation of Y527 stabilizes the autoinhibited conformation. SRMS lacks the N-terminal myristoylation site found in Src.
Figure 2N-terminal portion of the SRMS unique domain. Residues Pro3–Trp20 were plotted on a helical wheel diagram using PEPWHEEL (www.bioinformatics.nl/cgi-bin/emboss/pepwheel). Hydrophobic residues are shown in blue with boxes.
Figure 3Model of the SH3–SH2-kinase domains of SRMS. The three-dimensional structure of human SRMS was modeled on the known structure of chicken c-Src (Protein Data Bank pdb code: 2H8H) using the homology detection program HHpred and MODELLER v. 9.22 from the Max Planck Institute Bioinformatics Toolkit [37,38].
Figure 4The SRMS connectome. The human SRMS connectome was analyzed using STRING, version 11 [62]. Data represent 1st shell with a minimum required interaction score of 0.4 and a maximum number of interactors of 20 (https://string-db.org). Blue lines represent known interactions from curated databases, magenta lines represent experimentally determined interactions, light green lines represent predicted interactions from textmining, and black lines represent predicted interactions from co-expression.