94 research outputs found

    The Unfolded Protein Response Regulates Multiple Aspects of Secretory and Membrane Protein Biogenesis and Endoplasmic Reticulum Quality Control

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    The unfolded protein response (UPR) is an intracellular signaling pathway that relays signals from the lumen of the ER to activate target genes in the nucleus. We devised a genetic screen in the yeast Saccharomyces cerevisiae to isolate mutants that are dependent on activation of the pathway for viability. Using this strategy, we isolated mutants affecting various aspects of ER function, including protein translocation, folding, glycosylation, glycosylphosphatidylinositol modification, and ER-associated protein degradation (ERAD). Extending results gleaned from the genetic studies, we demonstrate that the UPR regulates trafficking of proteins at the translocon to balance the needs of biosynthesis and ERAD. The approach also revealed connections of the UPR to other regulatory pathways. In particular, we identified SON1/RPN4, a recently described transcriptional regulator for genes encoding subunits of the proteasome. Our genetic strategy, therefore, offers a powerful means to provide insight into the physiology of the UPR and to identify novel genes with roles in many aspects of secretory and membrane protein biogenesis

    Computational study of protein specificity: The molecular basis of HIV-1 protease drug resistance

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    Drug resistance has sharply limited the effectiveness of HIV-1 protease inhibitors in AIDS therapy. It is critically important to understand the basis of this resistance for designing new drugs. We have evaluated the free energy contribution of each residue in the HIV protease in binding to one of its substrates and to the five FDA-approved protease drugs. Analysis of these free energy profiles and the variability at each sequence position suggests: (i) single drug resistance mutations are likely to occur at not well conserved residues if they interact more favorably with drugs than with the substrate; and (ii) resistance-evading drugs should have a free energy profile similar to the substrate and interact most favorably with well conserved residues. We also propose an empirical parameter, called the free energy/variability value, which combines free energy calculation and sequence analysis to suggest possible drug resistance mutations on the protease. The free energy/variability value is defined as the product of one residue's contribution to the binding free energy and the variability of that residue. This parameter can assist in designing resistance-evading drugs for any target
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