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      The Spliced Leader RNA Silencing (SLS) Pathway in Trypanosoma brucei Is Induced by Perturbations of Endoplasmic Reticulum, Golgi Complex, or Mitochondrial Protein Factors: Functional Analysis of SLS-Inducing Kinase PK3

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          ABSTRACT

          In the parasite Trypanosoma brucei, the causative agent of human African sleeping sickness, all mRNAs are trans-spliced to generate a common 5′ exon derived from the spliced leader (SL) RNA. Perturbations of protein translocation across the endoplasmic reticulum (ER) induce the spliced leader RNA silencing (SLS) pathway. SLS activation is mediated by a serine-threonine kinase, PK3, which translocates from the cytosolic face of the ER to the nucleus, where it phosphorylates the TATA-binding protein TRF4, leading to the shutoff of SL RNA transcription, followed by induction of programmed cell death. Here, we demonstrate that SLS is also induced by depletion of the essential ER-resident chaperones BiP and calreticulin, ER oxidoreductin 1 (ERO1), and the Golgi complex-localized quiescin sulfhydryl oxidase (QSOX). Most strikingly, silencing of Rhomboid-like 1 (TIMRHOM1), involved in mitochondrial protein import, also induces SLS. The PK3 kinase, which integrates SLS signals, is modified by phosphorylation on multiple sites. To determine which of the phosphorylation events activate PK3, several individual mutations or their combination were generated. These mutations failed to completely eliminate the phosphorylation or translocation of the kinase to the nucleus. The structures of PK3 kinase and its ATP binding domain were therefore modeled. A conserved phenylalanine at position 771 was proposed to interact with ATP, and the PK3 F771L mutation completely eliminated phosphorylation under SLS, suggesting that the activation involves most if not all of the phosphorylation sites. The study suggests that the SLS occurs broadly in response to failures in protein sorting, folding, or modification across multiple compartments.

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          Glide: a new approach for rapid, accurate docking and scoring. 1. Method and assessment of docking accuracy.

          Unlike other methods for docking ligands to the rigid 3D structure of a known protein receptor, Glide approximates a complete systematic search of the conformational, orientational, and positional space of the docked ligand. In this search, an initial rough positioning and scoring phase that dramatically narrows the search space is followed by torsionally flexible energy optimization on an OPLS-AA nonbonded potential grid for a few hundred surviving candidate poses. The very best candidates are further refined via a Monte Carlo sampling of pose conformation; in some cases, this is crucial to obtaining an accurate docked pose. Selection of the best docked pose uses a model energy function that combines empirical and force-field-based terms. Docking accuracy is assessed by redocking ligands from 282 cocrystallized PDB complexes starting from conformationally optimized ligand geometries that bear no memory of the correctly docked pose. Errors in geometry for the top-ranked pose are less than 1 A in nearly half of the cases and are greater than 2 A in only about one-third of them. Comparisons to published data on rms deviations show that Glide is nearly twice as accurate as GOLD and more than twice as accurate as FlexX for ligands having up to 20 rotatable bonds. Glide is also found to be more accurate than the recently described Surflex method.
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            ProSA-web: interactive web service for the recognition of errors in three-dimensional structures of proteins

            A major problem in structural biology is the recognition of errors in experimental and theoretical models of protein structures. The ProSA program (Protein Structure Analysis) is an established tool which has a large user base and is frequently employed in the refinement and validation of experimental protein structures and in structure prediction and modeling. The analysis of protein structures is generally a difficult and cumbersome exercise. The new service presented here is a straightforward and easy to use extension of the classic ProSA program which exploits the advantages of interactive web-based applications for the display of scores and energy plots that highlight potential problems spotted in protein structures. In particular, the quality scores of a protein are displayed in the context of all known protein structures and problematic parts of a structure are shown and highlighted in a 3D molecule viewer. The service specifically addresses the needs encountered in the validation of protein structures obtained from X-ray analysis, NMR spectroscopy and theoretical calculations. ProSA-web is accessible at https://prosa.services.came.sbg.ac.at
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              Comparative Protein Structure Modeling Using MODELLER.

              Comparative protein structure modeling predicts the three-dimensional structure of a given protein sequence (target) based primarily on its alignment to one or more proteins of known structure (templates). The prediction process consists of fold assignment, target-template alignment, model building, and model evaluation. This unit describes how to calculate comparative models using the program MODELLER and how to use the ModBase database of such models, and discusses all four steps of comparative modeling, frequently observed errors, and some applications. Modeling lactate dehydrogenase from Trichomonas vaginalis (TvLDH) is described as an example. The download and installation of the MODELLER software is also described. © 2016 by John Wiley & Sons, Inc.
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                Author and article information

                Contributors
                Role: Editor
                Journal
                mBio
                mBio
                mbio
                mBio
                American Society for Microbiology (1752 N St., N.W., Washington, DC )
                2150-7511
                30 November 2021
                Nov-Dec 2021
                30 November 2021
                : 12
                : 6
                : e02602-21
                Affiliations
                [a ] The Mina and Everard Goodman Faculty of Life Sciences and Advanced Materials and Nanotechnology Institute, Bar-Ilan Universitygrid.22098.31, , Ramat-Gan, Israel
                [b ] Department of Biochemistry and Molecular Biology, Busitema University, Mbale, Uganda
                [c ] Chemistry Department, Bar-Ilan Universitygrid.22098.31, , Ramat-Gan, Israel
                [d ] Department of Structural Biology, Weizmann Institute of Science, Rehovot, Israel
                University of Georgia
                Author notes

                Uthman Okalang, Bar Mualem Bar-Ner, and K. Shanmugha Rajan contributed equally to this study.

                Author information
                https://orcid.org/0000-0002-9895-0439
                Article
                mBio02602-21 mbio.02602-21
                10.1128/mBio.02602-21
                8630539
                34844425
                e9845fe1-7074-434a-a386-9fb53fd792a7
                Copyright © 2021 Okalang et al.

                This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license.

                History
                : 7 September 2021
                : 4 October 2021
                Page count
                supplementary-material: 4, Figures: 7, Tables: 0, Equations: 0, References: 86, Pages: 21, Words: 12989
                Funding
                Funded by: Israel Science Foundation (ISF), FundRef https://doi.org/10.13039/501100003977;
                Award Recipient :
                Funded by: Israel Science Foundation (ISF), FundRef https://doi.org/10.13039/501100003977;
                Award Recipient :
                Categories
                Research Article
                parasitology, Parasitology
                Custom metadata
                November/December 2021

                Life sciences
                spliced leader rna silencing,sls,trypanosomes,bip,calreticulin,ero1,qsox,timrhom1,pk3-perk homologue
                Life sciences
                spliced leader rna silencing, sls, trypanosomes, bip, calreticulin, ero1, qsox, timrhom1, pk3-perk homologue

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