Computational Design of a Self-Assembling Symmetrical Β-Propeller Protein
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Evolution of Biomolecular Structure Class II Trna-Synthetases and Trna
University of Illinois at Urbana-Champaign Luthey-Schulten Group Theoretical and Computational Biophysics Group Evolution of Biomolecular Structure Class II tRNA-Synthetases and tRNA MultiSeq Developers: Prof. Zan Luthey-Schulten Elijah Roberts Patrick O’Donoghue John Eargle Anurag Sethi Dan Wright Brijeet Dhaliwal September 25, 2006. A current version of this tutorial is available at http://www.scs.uiuc.edu/˜schulten/tutorials/evolution/ CONTENTS 2 Contents 1 Introduction 4 1.1 The MultiSeq Bioinformatic Analysis Environment . 4 1.2 Aminoacyl-tRNA Synthetases: Role in translation . 4 1.3 Getting Started . 7 1.3.1 Requirements . 7 1.3.2 Copying the tutorial files . 7 1.3.3 Configuring MultiSeq . 7 1.3.4 Configuring BLAST for MultiSeq . 10 1.4 The Aspartyl-tRNA Synthetase/tRNA Complex . 12 1.4.1 Loading the structure into MultiSeq . 12 1.4.2 Selecting and highlighting residues . 13 1.4.3 Domain organization of the synthetase . 14 1.4.4 Nearest neighbor contacts . 14 2 Evolutionary Analysis of AARS Structures 17 2.1 Loading Molecules . 17 2.2 Multiple Structure Alignments . 18 2.3 Structural Conservation Measure: Qres . 19 2.4 Structure Based Phylogenetic Analysis . 21 2.4.1 Limitations of sequence data . 21 2.4.2 Structural metrics look further back in time . 23 3 Complete Evolutionary Profile of AspRS 26 3.1 BLASTing Sequence Databases . 26 3.1.1 Importing the archaeal sequences . 26 3.1.2 Now the other domains of life . 27 3.2 Organizing Your Data . 28 3.3 Finding a Structural Domain in a Sequence . 29 3.4 Aligning to a Structural Profile using ClustalW . -
The Architecture of the Protein Domain Universe
The architecture of the protein domain universe Nikolay V. Dokholyan Department of Biochemistry and Biophysics, The University of North Carolina at Chapel Hill, School of Medicine, Chapel Hill, NC 27599 ABSTRACT Understanding the design of the universe of protein structures may provide insights into protein evolution. We study the architecture of the protein domain universe, which has been found to poses peculiar scale-free properties (Dokholyan et al., Proc. Natl. Acad. Sci. USA 99: 14132-14136 (2002)). We examine the origin of these scale-free properties of the graph of protein domain structures (PDUG) and determine that that the PDUG is not modular, i.e. it does not consist of modules with uniform properties. Instead, we find the PDUG to be self-similar at all scales. We further characterize the PDUG architecture by studying the properties of the hub nodes that are responsible for the scale-free connectivity of the PDUG. We introduce a measure of the betweenness centrality of protein domains in the PDUG and find a power-law distribution of the betweenness centrality values. The scale-free distribution of hubs in the protein universe suggests that a set of specific statistical mechanics models, such as the self-organized criticality model, can potentially identify the principal driving forces of molecular evolution. We also find a gatekeeper protein domain, removal of which partitions the largest cluster into two large sub- clusters. We suggest that the loss of such gatekeeper protein domains in the course of evolution is responsible for the creation of new fold families. INTRODUCTION The principles of molecular evolution remain elusive despite fundamental breakthroughs on the theoretical front 1-5 and a growing amount of genomic and proteomic data, over 23,000 solved protein structures 6 and protein functional annotations 7-9. -
Documentation and Localization of Force-Mediated Filamin a Domain
ARTICLE Received 29 May 2014 | Accepted 10 Jul 2014 | Published 14 Aug 2014 DOI: 10.1038/ncomms5656 Documentation and localization of force-mediated filamin A domain perturbations in moving cells Fumihiko Nakamura1, Mia Song1, John H. Hartwig1 & Thomas P. Stossel1 Endogenously and externally generated mechanical forces influence diverse cellular activities, a phenomenon defined as mechanotransduction. Deformation of protein domains by application of stress, previously documented to alter macromolecular interactions in vitro, could mediate these effects. We engineered a photon-emitting system responsive to unfolding of two repeat domains of the actin filament (F-actin) crosslinker protein filamin A (FLNA) that binds multiple partners involved in cell signalling reactions and validated the system using F-actin networks subjected to myosin-based contraction. Expressed in cultured cells, the sensor-containing FLNA construct reproducibly reported FLNA domain unfolding strikingly localized to dynamic, actively protruding, leading cell edges. The unfolding signal depends upon coherence of F-actin-FLNA networks and is enhanced by stimulating cell contractility. The results establish protein domain distortion as a bona fide mechanism for mechanotransduction in vivo. 1 Translational Medicine Division, Department of Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts 02445, USA. Correspondence and requests for materials should be addressed to F.N. (email: [email protected]). NATURE COMMUNICATIONS | 5:4656 | DOI: 10.1038/ncomms5656 -
Lipid-Targeting Pleckstrin Homology Domain Turns Its Autoinhibitory Face Toward the TEC Kinases
Lipid-targeting pleckstrin homology domain turns its autoinhibitory face toward the TEC kinases Neha Amatyaa, Thomas E. Walesb, Annie Kwonc, Wayland Yeungc, Raji E. Josepha, D. Bruce Fultona, Natarajan Kannanc, John R. Engenb, and Amy H. Andreottia,1 aRoy J. Carver Department of Biochemistry, Biophysics and Molecular Biology, Iowa State University, Ames, IA 50011; bDepartment of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115; and cInstitute of Bioinformatics and Department of Biochemistry and Molecular Biology, University of Georgia, Athens, GA 30602 Edited by Natalie G. Ahn, University of Colorado Boulder, Boulder, CO, and approved September 17, 2019 (received for review May 3, 2019) The pleckstrin homology (PH) domain is well known for its phos- activation loop phosphorylation site are also controlled by noncatalytic pholipid targeting function. The PH-TEC homology (PHTH) domain domains (17). In addition to the N-terminal PHTH domain, the within the TEC family of tyrosine kinases is also a crucial component TEC kinases contain a proline-rich region (PRR) and Src ho- of the autoinhibitory apparatus. The autoinhibitory surface on the mology 3 (SH3) and Src homology 2 (SH2) domains that impinge PHTH domain has been previously defined, and biochemical investi- on the kinase domain to alter the conformational ensemble and gations have shown that PHTH-mediated inhibition is mutually thus the activation status of the enzyme. A crystal structure of the exclusive with phosphatidylinositol binding. Here we use hydrogen/ BTK SH3-SH2-kinase fragment has been solved (10) showing that deuterium exchange mass spectrometry, nuclear magnetic resonance the SH3 and SH2 domains of BTK assemble onto the distal side of (NMR), and evolutionary sequence comparisons to map where and the kinase domain (the surface opposite the activation loop), how the PHTH domain affects the Bruton’s tyrosine kinase (BTK) stabilizing the autoinhibited form of the kinase in a manner similar domain. -
Identification and Characterisation of Human Cytomegalovirus-Mediated Degradation of Helicase-Like Transcription Factor
Identification and Characterisation of Human Cytomegalovirus-Mediated Degradation of Helicase-Like Transcription Factor Kai-Min Lin Department of Medicine Cambridge Institute for Medical Research University of Cambridge This dissertation is submitted for the degree of Doctor of Philosophy Fitzwilliam College September 2020 Declaration I hereby declare, that except where specific reference is made to the work of others, the contents of this dissertation are original and have not been submitted in whole or in part for consideration for any other degree of qualification in this, or any other university. This dissertation is the result of my own work and includes nothing which is the outcome of work done in collaboration except as where specified in the text and acknowledgments. This dissertation does not exceed the specified word limit of 60,000 words as defined by the Degree Committee, excluding figures, photographs, tables, appendices and bibliography. Kai-Min Lin September, 2020 I Summary Identification and characterisation of human cytomegalovirus-mediated degradation of helicase-like transcription factor Kai-Min Lin Viruses are known to degrade host factors that are important in innate antiviral immunity in order to infect successfully. To systematically identify host proteins targeted for early degradation by human cytomegalovirus (HCMV), the lab developed orthogonal screens using high resolution multiplexed mass spectrometry. Taking advantage of broad and selective proteasome and lysosome inhibitors, proteasomal degradation was found to be heavily exploited by HCMV. Several known antiviral restriction factors, including components of cellular promyelocytic leukemia (PML) were enriched in a shortlist of proteasomally degraded proteins during infection. A particularly robust novel ‘hit’ was helicase-like transcription factor (HLTF), a DNA repair protein that participates in error-free repair of stalled replication forks. -
Pleckstrin Homology Domains and the Cytoskeleton
FEBS 25627 FEBS Letters 513 (2002) 71^76 View metadata, citation and similar papers at core.ac.uk brought to you by CORE Minireview provided by Elsevier - Publisher Connector Pleckstrin homology domains and the cytoskeleton Mark A. Lemmona;Ã, Kathryn M. Fergusona, Charles S. Abramsb;Ã aDepartment of Biochemistry and Biophysics, University of Pennsylvania School of Medicine, 809C Stellar-Chance Laboratories, 422 Curie Boulevard, Philadelphia, PA 19104-6059, USA bDepartment of Medicine, University of Pennsylvania School of Medicine, 912 BRB II/III, 421 Curie Boulevard, Philadelphia, PA 19104-6160, USA Received 20 October 2001; revised 30 October 2001; accepted 14 November 2001 First published online 6 December 2001 Edited by Gianni Cesareni and Mario Gimona some 27 di¡erent proteins contain a total of 36 PH domains, Abstract Pleckstrin homology (PH) domains are 100^120 amino acid protein modules best known for their ability to bind making the PH domain the 17th most common yeast domain phosphoinositides. All possess an identical core L-sandwich fold [6]. The sequence characteristics used to identify PH domains and display marked electrostatic sidedness. The binding site for appear to de¢ne a particular protein fold that has now been phosphoinositides lies in the center of the positively charged face. seen in the X-ray crystal structures and/or nuclear magnetic In some cases this binding site is well defined, allowing highly resonance (NMR) structures of some 13 di¡erent PH domains specific and strong ligand binding. In several of these cases the [7^12]. Each of these PH domains possesses an almost iden- PH domains specifically recognize 3-phosphorylated phospho- tical core L-sandwich structure (described below), despite pair- inositides, allowing them to drive membrane recruitment in wise sequence identities between PH domains that range from response to phosphatidylinositol 3-kinase activation. -
A New Census of Protein Tandem Repeats and Their Relationship with Intrinsic Disorder
G C A T T A C G G C A T genes Article A New Census of Protein Tandem Repeats and Their Relationship with Intrinsic Disorder Matteo Delucchi 1,2 , Elke Schaper 1,2,† , Oxana Sachenkova 3,‡, Arne Elofsson 3 and Maria Anisimova 1,2,* 1 ZHAW Life Sciences und Facility Management, Applied Computational Genomics, 8820 Wädenswil, Switzerland; [email protected] 2 Swiss Institute of Bioinformatics, 1015 Lausanne, Switzerland 3 Science of Life Laboratory, Department of Biochemistry and Biophysics, Stockholm University, 106 91 Stockholm, Sweden * Correspondence: [email protected]; Tel.: +41-(0)58-934-5882 † Present address: Carbon Delta AG, 8002 Zürich, Switzerland. ‡ Present address: Vildly AB, 385 31 Kalmar, Sweden. Received: 9 March 2020; Accepted: 1 April 2020; Published: 9 April 2020 Abstract: Protein tandem repeats (TRs) are often associated with immunity-related functions and diseases. Since that last census of protein TRs in 1999, the number of curated proteins increased more than seven-fold and new TR prediction methods were published. TRs appear to be enriched with intrinsic disorder and vice versa. The significance and the biological reasons for this association are unknown. Here, we characterize protein TRs across all kingdoms of life and their overlap with intrinsic disorder in unprecedented detail. Using state-of-the-art prediction methods, we estimate that 50.9% of proteins contain at least one TR, often located at the sequence flanks. Positive linear correlation between the proportion of TRs and the protein length was observed universally, with Eukaryotes in general having more TRs, but when the difference in length is taken into account the difference is quite small. -
Chapter 6 Protein Structure and Folding
Chapter 6 Protein Structure and Folding 1. Secondary Structure 2. Tertiary Structure 3. Quaternary Structure and Symmetry 4. Protein Stability 5. Protein Folding Myoglobin Introduction 1. Proteins were long thought to be colloids of random structure 2. 1934, crystal of pepsin in X-ray beam produces discrete diffraction pattern -> atoms are ordered 3. 1958 first X-ray structure solved, sperm whale myoglobin, no structural regularity observed 4. Today, approx 50’000 structures solved => remarkable degree of structural regularity observed Hierarchy of Structural Layers 1. Primary structure: amino acid sequence 2. Secondary structure: local arrangement of peptide backbone 3. Tertiary structure: three dimensional arrangement of all atoms, peptide backbone and amino acid side chains 4. Quaternary structure: spatial arrangement of subunits 1) Secondary Structure A) The planar peptide group limits polypeptide conformations The peptide group ha a rigid, planar structure as a consequence of resonance interactions that give the peptide bond ~40% double bond character The trans peptide group The peptide group assumes the trans conformation 8 kJ/mol mire stable than cis Except Pro, followed by cis in 10% Torsion angles between peptide groups describe polypeptide chain conformations The backbone is a chain of planar peptide groups The conformation of the backbone can be described by the torsion angles (dihedral angles, rotation angles) around the Cα-N (Φ) and the Cα-C bond (Ψ) Defined as 180° when extended (as shown) + = clockwise, seen from Cα Not -
Intrinsic Disorder in Tetratricopeptide Repeat Proteins
International Journal of Molecular Sciences Article Intrinsic Disorder in Tetratricopeptide Repeat Proteins 1, 1, 1, 2 Nathan W. Van Bibber y, Cornelia Haerle y, Roy Khalife y, Bin Xue and Vladimir N. Uversky 1,3,4,* 1 Department of Molecular Medicine Morsani College of Medicine, University of South Florida, 12901 Bruce B. Downs Blvd., Tampa, FL 33612, USA; [email protected] (N.W.V.B.); [email protected] (C.H.); [email protected] (R.K.) 2 Department of Cell Biology, Microbiology and Molecular Biology, School of Natural Sciences and Mathematics, College of Arts and Sciences, University of South Florida, Tampa, FL 33620, USA; [email protected] 3 USF Health Byrd Alzheimer’s Research Institute, Morsani College of Medicine, University of South Florida, 12901 Bruce B. Downs Blvd., Tampa, FL 33612, USA 4 Institute for Biological Instrumentation, Russian Academy of Sciences, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, 4 Institutskaya St., Pushchino, 142290 Moscow Region, Russia * Correspondence: [email protected]; Tel.: +1-813-974-5816; Fax: +1-813-974-7357 These authors contributed equally to this work. y Received: 21 April 2020; Accepted: 22 May 2020; Published: 25 May 2020 Abstract: Among the realm of repeat containing proteins that commonly serve as “scaffolds” promoting protein-protein interactions, there is a family of proteins containing between 2 and 20 tetratricopeptide repeats (TPRs), which are functional motifs consisting of 34 amino acids. The most distinguishing feature of TPR domains is their ability to stack continuously one upon the other, with these stacked repeats being able to affect interaction with binding partners either sequentially or in combination. -
Repeatsdb in 2021: Improved Data And
RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures Lisanna Paladin, Martina Bevilacqua, Sara Errigo, Damiano Piovesan, Ivan Mičetić, Marco Necci, Alexander Miguel Monzon, Maria Laura Fabre, Jose luis Lopez, Juliet Nilsson, et al. To cite this version: Lisanna Paladin, Martina Bevilacqua, Sara Errigo, Damiano Piovesan, Ivan Mičetić, et al.. RepeatsDB in 2021: improved data and extended classification for protein tandem repeat structures. Nucleic Acids Research, Oxford University Press, 2020, 10.1093/nar/gkaa1097. hal-03089312 HAL Id: hal-03089312 https://hal.archives-ouvertes.fr/hal-03089312 Submitted on 4 Jan 2021 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Page 1 of 11 Nucleic Acids Research 1 2 RepeatsDB in 2021: improved data and 3 4 5 extended classification for protein tandem 6 7 repeat structures 8 9 10 Lisanna Paladin1, Martina Bevilacqua1, Sara Errigo1, Damiano Piovesan1, Ivan Mičetić1, Marco Necci1, 11 Alexander Miguel Monzon1, Maria Laura Fabre2, Jose Luis Lopez2, Juliet F. Nilsson2, Javier Rios3, Pablo 12 3 3 3 4 13 Lorenzano Menna , Maia Cabrera , Martin Gonzalez Buitron , Mariane Gonçalves Kulik , Sebastian 14 Fernandez-Alberti3, Maria Silvina Fornasari3, Gustavo Parisi3, Antonio Lagares2, Layla Hirsh5, Miguel A. -
Deep Learning of Protein Structural Classes: Any Evidence for an ‘Urfold?
Deep Learning of Protein Structural Classes: Any Evidence for an ‘Urfold? 1st Menuka Jaiswal 1st Saad Saleem 1st Yonghyeon Kweon 2nd Eli J Draizen School of Data Science School of Data Science School of Data Science Department of Biomedical Engineering University of Virginia University of Virginia University of Virginia University of Virginia Charlottesville Charlottesville Charlottesville Charlottesville [email protected] [email protected] [email protected] [email protected] 2nd Stella Veretnik 2nd Cameron Mura 2nd Philip E Bourne Department of Biomedical Engineering Department of Biomedical Engineering School of Data Science University of Virginia University of Virginia University of Virginia Charlottesville Charlottesville Charlottesville [email protected] [email protected] [email protected] Abstract—Recent computational advances in the accurate pre- (“point mutations” or ‘substitutions’) to larger-scale changes diction of protein three-dimensional (3D) structures from amino such as reorganization of entire segments of a polypeptide acid sequences now present a unique opportunity to decipher chain. Such changes are critical because they influence 3D the interrelationships between proteins. This task entailsbut is not equivalent toa problem of 3D structure comparison and structure, and protein function stems from 3D structure [2]. classification. Historically, protein domain classification has been Indeed, our ability to elucidate protein function and evolution a largely manual and subjective activity, relying upon various is intimately linked to our knowledge of protein structure. heuristics. Databases such as CATH represent significant steps Equally important, interrelationships between structures define towards a more systematic (and automatable) approach, yet there a map of the protein universe [3]. Thus, it is paramount still remains much room for the development of more scalable and quantitative classification methods, grounded in machine to have a robust classification system for categorically orga- learning. -
Intrinsic Disorder of the BAF Complex: Roles in Chromatin Remodeling and Disease Development
International Journal of Molecular Sciences Article Intrinsic Disorder of the BAF Complex: Roles in Chromatin Remodeling and Disease Development Nashwa El Hadidy 1 and Vladimir N. Uversky 1,2,* 1 Department of Molecular Medicine, Morsani College of Medicine, University of South Florida, 12901 Bruce B. Downs Blvd. MDC07, Tampa, FL 33612, USA; [email protected] 2 Laboratory of New Methods in Biology, Institute for Biological Instrumentation of the Russian Academy of Sciences, Federal Research Center “Pushchino Scientific Center for Biological Research of the Russian Academy of Sciences”, Pushchino, 142290 Moscow Region, Russia * Correspondence: [email protected]; Tel.: +1-813-974-5816; Fax: +1-813-974-7357 Received: 20 September 2019; Accepted: 21 October 2019; Published: 23 October 2019 Abstract: The two-meter-long DNA is compressed into chromatin in the nucleus of every cell, which serves as a significant barrier to transcription. Therefore, for processes such as replication and transcription to occur, the highly compacted chromatin must be relaxed, and the processes required for chromatin reorganization for the aim of replication or transcription are controlled by ATP-dependent nucleosome remodelers. One of the most highly studied remodelers of this kind is the BRG1- or BRM-associated factor complex (BAF complex, also known as SWItch/sucrose non-fermentable (SWI/SNF) complex), which is crucial for the regulation of gene expression and differentiation in eukaryotes. Chromatin remodeling complex BAF is characterized by a highly polymorphic structure, containing from four to 17 subunits encoded by 29 genes. The aim of this paper is to provide an overview of the role of BAF complex in chromatin remodeling and also to use literature mining and a set of computational and bioinformatics tools to analyze structural properties, intrinsic disorder predisposition, and functionalities of its subunits, along with the description of the relations of different BAF complex subunits to the pathogenesis of various human diseases.