4
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      The In Silico Identification of Potential Members of the Ded1/DDX3 Subfamily of DEAD-Box RNA Helicases from the Protozoan Parasite Leishmania infantum and Their Analyses in Yeast

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          DEAD-box RNA helicases are ubiquitous proteins found in all kingdoms of life and that are associated with all processes involving RNA. Their central roles in biology make these proteins potential targets for therapeutic or prophylactic drugs. The Ded1/DDX3 subfamily of DEAD-box proteins is of particular interest because of their important role(s) in translation. In this paper, we identified and aligned the protein sequences of 28 different DEAD-box proteins from the kinetoplast-protozoan parasite Leishmania infantum, which is the cause of the visceral form of leishmaniasis that is often lethal if left untreated, and compared them with the consensus sequence derived from DEAD-box proteins in general, and from the Ded1/DDX3 subfamily in particular, from a wide variety of other organisms. We identified three potential homologs of the Ded1/DDX3 subfamily and the equivalent proteins from the related protozoan parasite Trypanosoma brucei, which is the causative agent of sleeping sickness. We subsequently tested these proteins for their ability to complement a yeast strain deleted for the essential DED1 gene. We found that the DEAD-box proteins from Trypanosomatids are highly divergent from other eukaryotes, and consequently they are suitable targets for protein-specific drugs.

          Related collections

          Most cited references112

          • Record: found
          • Abstract: found
          • Article: not found

          Gapped BLAST and PSI-BLAST: a new generation of protein database search programs.

          S Altschul (1997)
          The BLAST programs are widely used tools for searching protein and DNA databases for sequence similarities. For protein comparisons, a variety of definitional, algorithmic and statistical refinements described here permits the execution time of the BLAST programs to be decreased substantially while enhancing their sensitivity to weak similarities. A new criterion for triggering the extension of word hits, combined with a new heuristic for generating gapped alignments, yields a gapped BLAST program that runs at approximately three times the speed of the original. In addition, a method is introduced for automatically combining statistically significant alignments produced by BLAST into a position-specific score matrix, and searching the database using this matrix. The resulting Position-Specific Iterated BLAST (PSI-BLAST) program runs at approximately the same speed per iteration as gapped BLAST, but in many cases is much more sensitive to weak but biologically relevant sequence similarities. PSI-BLAST is used to uncover several new and interesting members of the BRCT superfamily.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: found
            Is Open Access

            SWISS-MODEL: homology modelling of protein structures and complexes

            Abstract Homology modelling has matured into an important technique in structural biology, significantly contributing to narrowing the gap between known protein sequences and experimentally determined structures. Fully automated workflows and servers simplify and streamline the homology modelling process, also allowing users without a specific computational expertise to generate reliable protein models and have easy access to modelling results, their visualization and interpretation. Here, we present an update to the SWISS-MODEL server, which pioneered the field of automated modelling 25 years ago and been continuously further developed. Recently, its functionality has been extended to the modelling of homo- and heteromeric complexes. Starting from the amino acid sequences of the interacting proteins, both the stoichiometry and the overall structure of the complex are inferred by homology modelling. Other major improvements include the implementation of a new modelling engine, ProMod3 and the introduction a new local model quality estimation method, QMEANDisCo. SWISS-MODEL is freely available at https://swissmodel.expasy.org.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              UniProt: a worldwide hub of protein knowledge

              (2018)
              Abstract The UniProt Knowledgebase is a collection of sequences and annotations for over 120 million proteins across all branches of life. Detailed annotations extracted from the literature by expert curators have been collected for over half a million of these proteins. These annotations are supplemented by annotations provided by rule based automated systems, and those imported from other resources. In this article we describe significant updates that we have made over the last 2 years to the resource. We have greatly expanded the number of Reference Proteomes that we provide and in particular we have focussed on improving the number of viral Reference Proteomes. The UniProt website has been augmented with new data visualizations for the subcellular localization of proteins as well as their structure and interactions. UniProt resources are available under a CC-BY (4.0) license via the web at https://www.uniprot.org/.
                Bookmark

                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Genes (Basel)
                Genes (Basel)
                genes
                Genes
                MDPI
                2073-4425
                01 February 2021
                February 2021
                : 12
                : 2
                : 212
                Affiliations
                [1 ]Expression Génétique Microbienne, UMR8261 CNRS, Université de Paris, Institut de Biologie Physico-Chimique, 13 rue Pierre et Marie Curie, 75005 Paris, France; molka.mokdadi@ 123456gmail.com (M.M.); yosr_abdelkrim@ 123456yahoo.fr (Y.Z.A.); josette.banroques@ 123456ibpc.fr (J.B.); emmeline.huvelle@ 123456ibpc.fr (E.H.); yeter.hilal@ 123456yahoo.fr (H.Y.-A.)
                [2 ]PSL Research University, 75005 Paris, France
                [3 ]Laboratory of Molecular Epidemiology and Experimental Pathology (LR16IPT04), Institut Pasteur de Tunis, Université de Tunis El Manar, 13 Place Pasteur, BP74 Tunis-Belvédère 1002, Tunisia; oualha_rafeh@ 123456yahoo.fr (R.O.); ikram.Guizani@ 123456pasteur.tn (I.G.)
                [4 ]Institut National des Sciences Appliquées et Technologies, Université de Carthage, CEDEX, Tunis 1080, Tunisia
                Author notes
                [* ]Correspondence: mourad.barhoumi@ 123456pasteur.tn (M.B.); kyle.tanner@ 123456ibpc.fr (N.K.T.); Tel.: +216-71 843 755 (ext. 544) (M.B.); +33-1-58-41-52-37 (N.K.T.); Fax: +216-71-791-833 (M.B.); +33-1-58-41-50-25 (N.K.T.)
                Article
                genes-12-00212
                10.3390/genes12020212
                7912733
                33535521
                113f9d1a-46b6-4de9-83cd-129397ccff99
                © 2021 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 27 November 2020
                : 29 January 2021
                Categories
                Article

                leishmania,trypanosoma brucei,ded1/ddx3,rna helicase,dead-box,leishmaniasis,trypanosomatid,saccharomyces cerevisiae

                Comments

                Comment on this article