title: Integrate Omics Data and Molecular Dynamics Simulations toward Better Understanding of Human 14-3-3 Interactomes and Better Drugs for Cancer Therapy.
abstract: The 14-3-3 protein family is among the most extensively studied, yet still largely mysterious protein families in mammals to date. As they are well recognized for their roles in apoptosis, cell cycle regulation, and proliferation in healthy cells, aberrant 14-3-3 expression has unsurprisingly emerged as instrumental in the development of many cancers and in prognosis. Interestingly, while the seven known 14-3-3 isoforms in humans have many similar functions across cell types, evidence of isoform-specific functions and localization has been observed in both healthy and diseased cells. The strikingly high similarity among 14-3-3 isoforms has made it difficult to delineate isoform-specific functions and for isoform-specific targeting. Here, we review our knowledge of 14-3-3 interactome(s) generated by high-throughput techniques, bioinformatics, structural genomics and chemical genomics and point out that integrating the information with molecular dynamics (MD) simulations may bring us new opportunity to the design of isoform-specific inhibitors, which can not only be used as powerful research tools for delineating distinct interactomes of individual 14-3-3 isoforms, but also can serve as potential new anti-cancer drugs that selectively target aberrant 14-3-3 isoform.
authors.affiliation: Department of Pharmacology and Toxicology, Indiana University School of Medicine, 980 W. Walnut Street, Indianapolis, IN 46202, USA.
authors.forename: JoAnne J
authors.initials: JJ
authors.lastname: Babula
authors.affiliation: Department of Pharmacology and Toxicology, Indiana University School of Medicine, 980 W. Walnut Street, Indianapolis, IN 46202, USA; Department of Computer and Information Science, Indiana University Purdue University Indianapolis, 723 W. Michigan St., Indianapolis, IN 46202, USA. Electronic address: jliu2@iu.edu.
authors.forename: Jing-Yuan
authors.initials: JY
authors.lastname: Liu
mesh_terms: D048948:14-3-3 Proteins / Q000235:genetics / Q000378:metabolism*; D019295:Computational Biology / Q000379:methods; D023281:Genomics / Q000379:methods; D006801:Humans; D056004:Molecular Dynamics Simulation; D009369:Neoplasms / Q000235:genetics / Q000378:metabolism*
chemical_list: D048948:14-3-3 Proteins
keywords: Chemical genomics; Interactome; Molecular dynamics simulation; Structural genomics