Mapping protein-protein interactions at a domain or motif level can provide structural annotation of the interactome. The α-helical coiled coil is among the most common protein-interaction motifs, and proteins predicted to contain coiled coils participate in diverse biological processes. Here, we introduce a combined computational/experimental screening strategy that we used to uncover coiled-coil interactions among proteins involved in vesicular trafficking in Saccharomyces cerevisiae. A number of coiled-coil complexes have already been identified and reported to play important roles in this important biological process. We identify additional examples of coiled coils that can form physical associations. The computational strategy used to prioritize coiled-coil candidates for testing dramatically improved the efficiency of discovery in a large experimental screen. As assessed by comprehensive yeast two-hybrid assays, computational prefiltering retained 90% of positive interacting pairs and eliminated > 60% of negatives from a set of interaction candidates. The coiled-coil-mediated interaction network elucidated using the combined computational/experimental approach comprises 80 coiled-coil associations between 58 protein pairs, among which 21 protein interactions have not been previously reported in interaction databases and 26 interactions were previously known at the protein level but have now been localized to the coiled-coil motif. The coiled-coil-mediated interactions were specific rather than promiscuous, and many interactions could be recapitulated in a green fluorescent protein complementation assay. Our method provides an efficient route to discovering new coiled-coil interactions and uncovers a number of associations that may have functional significance for vesicular trafficking. 相似文献
The localized surface plasmon resonance (LSPR) spectroscopy of Ag nanoparticles (NPs) is sensitive to the changes of the surrounding medium, which enables the NPs to serve as plasmonic nanosensors. In this paper, the refractive index (RI) sensitivity and figure of merit (FOM) of individual NPs and nanoarrays are investigated by employing the finite difference time domain (FDTD) method. The influence of shape and size are analyzed for individual NPs, and the influence of particle spacing is analyzed for nanoarrays. It is found that the NP with shorter size in incident direction or longer size in polarization direction exhibits better sensing performance. And when the aeff is between 20 and 60 nm, the larger NP exhibits higher sensitivity but lower FOM. The results of nanoarrays show that when particle spacing is large, the sensitivity of nanoarrays is large, and the sensitivity of nanoarrays decreases first and then increases as particle spacing decreases. In addition, the FOM of nanoarrays exhibits the similar trend.
A novel light-sensitive and cation-exchange copolymer (PNBCC) has been synthesized by random copolymerization of chlorophyllin sodium copper salt, crylic acid, n-butyl acrylate, and N-isopropylacrylamide. The PNBCC copolymer showed reversible dissolution and could be precipitated by 488 nm laser irradiation with the least light density of 1.70 x 10(5) W/m(2). By optimizing the ratio of monomers, pH, and ion concentration, over 95% copolymer was recovered by laser irradiation. The copolymer was used to purify lysozyme as light-sensitive cation exchanger, and its adsorption matched a Langmuir adsorption isotherm with maximum adsorption capacity of 98,900 U/g and dissociated constant of 852 U/mL. By applying the copolymer to the separation of lysozyme from egg white, the specific activity of lysozyme was improved from 399 to 6346 U/mg and the recovery of lysozyme achieved 81.3%. 相似文献