FTIR Analysis of Protein Structure
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Glossary - Cellbiology
1 Glossary - Cellbiology Blotting: (Blot Analysis) Widely used biochemical technique for detecting the presence of specific macromolecules (proteins, mRNAs, or DNA sequences) in a mixture. A sample first is separated on an agarose or polyacrylamide gel usually under denaturing conditions; the separated components are transferred (blotting) to a nitrocellulose sheet, which is exposed to a radiolabeled molecule that specifically binds to the macromolecule of interest, and then subjected to autoradiography. Northern B.: mRNAs are detected with a complementary DNA; Southern B.: DNA restriction fragments are detected with complementary nucleotide sequences; Western B.: Proteins are detected by specific antibodies. Cell: The fundamental unit of living organisms. Cells are bounded by a lipid-containing plasma membrane, containing the central nucleus, and the cytoplasm. Cells are generally capable of independent reproduction. More complex cells like Eukaryotes have various compartments (organelles) where special tasks essential for the survival of the cell take place. Cytoplasm: Viscous contents of a cell that are contained within the plasma membrane but, in eukaryotic cells, outside the nucleus. The part of the cytoplasm not contained in any organelle is called the Cytosol. Cytoskeleton: (Gk. ) Three dimensional network of fibrous elements, allowing precisely regulated movements of cell parts, transport organelles, and help to maintain a cell’s shape. • Actin filament: (Microfilaments) Ubiquitous eukaryotic cytoskeletal proteins (one end is attached to the cell-cortex) of two “twisted“ actin monomers; are important in the structural support and movement of cells. Each actin filament (F-actin) consists of two strands of globular subunits (G-Actin) wrapped around each other to form a polarized unit (high ionic cytoplasm lead to the formation of AF, whereas low ion-concentration disassembles AF). -
Protein Structure & Folding
6 Protein Structure & Folding To understand protein folding In the last chapter we learned that proteins are composed of amino acids Goal as a chemical equilibrium. linked together by peptide bonds. We also learned that the twenty amino acids display a wide range of chemical properties. In this chapter we will see Objectives that how a protein folds is determined by its amino acid sequence and that the three-dimensional shape of a folded protein determines its function by After this chapter, you should be able to: the way it positions these amino acids. Finally, we will see that proteins fold • describe the four levels of protein because doing so minimizes Gibbs free energy and that this minimization structure and the thermodynamic involves both making the most favorable bonds and maximizing disorder. forces that stabilize them. • explain how entropy (S) and enthalpy Proteins exhibit four levels of structure (H) contribute to Gibbs free energy. • use the equation ΔG = ΔH – TΔS The structure of proteins can be broken down into four levels of to determine the dependence of organization. The first is primary structure, the linear sequence of amino the favorability of a reaction on acids in the polypeptide chain. By convention, the primary sequence is temperature. written in order from the amino acid at the N-terminus (by convention • explain the hydrophobic effect and its usually on the left) to the amino acid at the C-terminus. The second level role in protein folding. of protein structure, secondary structure, is the local conformation adopted by stretches of contiguous amino acids. -
DNA Glycosylase Exercise - Levels 1 & 2: Answer Key
Name________________________ StarBiochem DNA Glycosylase Exercise - Levels 1 & 2: Answer Key Background In this exercise, you will explore the structure of a DNA repair protein found in most species, including bacteria. DNA repair proteins move along DNA strands, checking for mistakes or damage. DNA glycosylases, a specific type of DNA repair protein, recognize DNA bases that have been chemically altered and remove them, leaving a site in the DNA without a base. Other proteins then come along to fill in the missing DNA base. Learning objectives We will explore the relationship between a protein’s structure and its function in a human DNA glycosylase called human 8-oxoguanine glycosylase (hOGG1). Getting started We will begin this exercise by exploring the structure of hOGG1 using a molecular 3-D viewer called StarBiochem. In this particular structure, the repair protein is bound to a segment of DNA that has been damaged. We will first focus on the structure hOGG1 and then on how this protein interacts with DNA to repair a damaged DNA base. • To begin using StarBiochem, please navigate to: http://mit.edu/star/biochem/. • Click on the Start button Click on the Start button for StarBiochem. • Click Trust when a prompt appears asking if you trust the certificate. • In the top menu, click on Samples à Select from Samples. Within the Amino Acid/Proteins à Protein tab, select “DNA glycosylase hOGG1 w/ DNA – H. sapiens (1EBM)”. “1EBM” is the four character unique ID for this structure. Take a moment to look at the structure from various angles by rotating and zooming on the structure. -
Unit 2 Cell Biology Page 1 Sub-Topics Include
Sub-Topics Include: 2.1 Cell structure 2.2 Transport across cell membranes 2.3 Producing new cells 2.4 DNA and the production of proteins 2.5 Proteins and enzymes 2.6 Genetic Engineering 2.7 Respiration 2.8 Photosynthesis Unit 2 Cell Biology Page 1 UNIT 2 TOPIC 1 1. Cell Structure 1. Types of organism Animals and plants are made up of many cells and so are described as multicellular organisms. Similar cells doing the same job are grouped together to form tissues. Animals and plants have systems made up of a number of organs, each doing a particular job. For example, the circulatory system is made up of the heart, blood and vessels such as arteries, veins and capillaries. Some fungi such as yeast are single celled while others such as mushrooms and moulds are larger. Cells of animals plants and fungi have contain a number of specialised structures inside their cells. These specialised structures are called organelles. Bacteria are unicellular (exist as single cells) and do not have organelles in the same way as other cells. 2. Looking at Organelles Some organelles can be observed by staining cells and viewing them using a light microscope. Other organelles are so small that they cannot be seen using a light microscope. Instead, they are viewed using an electron microscope, which provides a far higher magnification than a light microscope. Most organelles inside cells are surrounded by a membrane which is similar in composition (make-up) to the cell membrane. Unit 2 Cell Biology Page 2 3. A Typical Cell ribosome 4. -
Proteasomes on the Chromosome Cell Research (2017) 27:602-603
602 Cell Research (2017) 27:602-603. © 2017 IBCB, SIBS, CAS All rights reserved 1001-0602/17 $ 32.00 RESEARCH HIGHLIGHT www.nature.com/cr Proteasomes on the chromosome Cell Research (2017) 27:602-603. doi:10.1038/cr.2017.28; published online 7 March 2017 Targeted proteolysis plays an this process, both in mediating homolog ligases, respectively, as RN components important role in the execution and association and in providing crossovers that impact crossover formation [5, 6]. regulation of many cellular events. that tether homologs and ensure their In the first of the two papers, Ahuja et Two recent papers in Science identify accurate segregation. Meiotic recom- al. [7] report that budding yeast pre9∆ novel roles for proteasome-mediated bination is initiated by DNA double- mutants, which lack a nonessential proteolysis in homologous chromo- strand breaks (DSBs) at many sites proteasome subunit, display defects in some pairing, recombination, and along chromosomes, and the multiple meiotic DSB repair, in chromosome segregation during meiosis. interhomolog interactions formed by pairing and synapsis, and in crossover Protein degradation by the 26S pro- DSB repair drive homolog association, formation. Similar defects are seen, teasome drives a variety of processes culminating in the end-to-end homolog but to a lesser extent, in cells treated central to the cell cycle, growth, and dif- synapsis by a protein structure called with the proteasome inhibitor MG132. ferentiation. Proteins are targeted to the the synaptonemal complex (SC) [3]. These defects all can be ascribed to proteasome by covalently ligated chains SC-associated focal protein complexes, a failure to remove nonhomologous of ubiquitin, a small (8.5 kDa) protein. -
Chapter 13 Protein Structure Learning Objectives
Chapter 13 Protein structure Learning objectives Upon completing this material you should be able to: ■ understand the principles of protein primary, secondary, tertiary, and quaternary structure; ■use the NCBI tool CN3D to view a protein structure; ■use the NCBI tool VAST to align two structures; ■explain the role of PDB including its purpose, contents, and tools; ■explain the role of structure annotation databases such as SCOP and CATH; and ■describe approaches to modeling the three-dimensional structure of proteins. Outline Overview of protein structure Principles of protein structure Protein Data Bank Protein structure prediction Intrinsically disordered proteins Protein structure and disease Overview: protein structure The three-dimensional structure of a protein determines its capacity to function. Christian Anfinsen and others denatured ribonuclease, observed rapid refolding, and demonstrated that the primary amino acid sequence determines its three-dimensional structure. We can study protein structure to understand problems such as the consequence of disease-causing mutations; the properties of ligand-binding sites; and the functions of homologs. Outline Overview of protein structure Principles of protein structure Protein Data Bank Protein structure prediction Intrinsically disordered proteins Protein structure and disease Protein primary and secondary structure Results from three secondary structure programs are shown, with their consensus. h: alpha helix; c: random coil; e: extended strand Protein tertiary and quaternary structure Quarternary structure: the four subunits of hemoglobin are shown (with an α 2β2 composition and one beta globin chain high- lighted) as well as four noncovalently attached heme groups. The peptide bond; phi and psi angles The peptide bond; phi and psi angles in DeepView Protein secondary structure Protein secondary structure is determined by the amino acid side chains. -
Course Outline for Biology Department Adeyemi College of Education
COURSE CODE: BIO 111 COURSE TITLE: Basic Principles of Biology COURSE OUTLINE Definition, brief history and importance of science Scientific method:- Identifying and defining problem. Raising question, formulating Hypotheses. Designing experiments to test hypothesis, collecting data, analyzing data, drawing interference and conclusion. Science processes/intellectual skills: (a) Basic processes: observation, Classification, measurement etc (b) Integrated processes: Science of Biology and its subdivisions: Botany, Zoology, Biochemistry, Microbiology, Ecology, Entomology, Genetics, etc. The Relevance of Biology to man: Application in conservation, agriculture, Public Health, Medical Sciences etc Relation of Biology to other science subjects Principles of classification Brief history of classification nomenclature and systematic The 5 kingdom system of classification Living and non-living things: General characteristics of living things. Differences between plants and animals. COURSE OUTLINE FOR BIOLOGY DEPARTMENT ADEYEMI COLLEGE OF EDUCATION COURSE CODE: BIO 112 COURSE TITLE: Cell Biology COURSE OUTLINE (a) A brief history of the concept of cell and cell theory. The structure of a generalized plant cell and generalized animal cell, and their comparison Protoplasm and its properties. Cytoplasmic Organelles: Definition and functions of nucleus, endoplasmic reticulum, cell membrane, mitochondria, ribosomes, Golgi, complex, plastids, lysosomes and other cell organelles. (b) Chemical constituents of cell - salts, carbohydrates, proteins, fats -
Introduction to Proteins and Amino Acids Introduction
Introduction to Proteins and Amino Acids Introduction • Twenty percent of the human body is made up of proteins. Proteins are the large, complex molecules that are critical for normal functioning of cells. • They are essential for the structure, function, and regulation of the body’s tissues and organs. • Proteins are made up of smaller units called amino acids, which are building blocks of proteins. They are attached to one another by peptide bonds forming a long chain of proteins. Amino acid structure and its classification • An amino acid contains both a carboxylic group and an amino group. Amino acids that have an amino group bonded directly to the alpha-carbon are referred to as alpha amino acids. • Every alpha amino acid has a carbon atom, called an alpha carbon, Cα ; bonded to a carboxylic acid, –COOH group; an amino, –NH2 group; a hydrogen atom; and an R group that is unique for every amino acid. Classification of amino acids • There are 20 amino acids. Based on the nature of their ‘R’ group, they are classified based on their polarity as: Classification based on essentiality: Essential amino acids are the amino acids which you need through your diet because your body cannot make them. Whereas non essential amino acids are the amino acids which are not an essential part of your diet because they can be synthesized by your body. Essential Non essential Histidine Alanine Isoleucine Arginine Leucine Aspargine Methionine Aspartate Phenyl alanine Cystine Threonine Glutamic acid Tryptophan Glycine Valine Ornithine Proline Serine Tyrosine Peptide bonds • Amino acids are linked together by ‘amide groups’ called peptide bonds. -
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2
Multidisciplinary Design Project Engineering Dictionary Version 0.0.2 February 15, 2006 . DRAFT Cambridge-MIT Institute Multidisciplinary Design Project This Dictionary/Glossary of Engineering terms has been compiled to compliment the work developed as part of the Multi-disciplinary Design Project (MDP), which is a programme to develop teaching material and kits to aid the running of mechtronics projects in Universities and Schools. The project is being carried out with support from the Cambridge-MIT Institute undergraduate teaching programe. For more information about the project please visit the MDP website at http://www-mdp.eng.cam.ac.uk or contact Dr. Peter Long Prof. Alex Slocum Cambridge University Engineering Department Massachusetts Institute of Technology Trumpington Street, 77 Massachusetts Ave. Cambridge. Cambridge MA 02139-4307 CB2 1PZ. USA e-mail: [email protected] e-mail: [email protected] tel: +44 (0) 1223 332779 tel: +1 617 253 0012 For information about the CMI initiative please see Cambridge-MIT Institute website :- http://www.cambridge-mit.org CMI CMI, University of Cambridge Massachusetts Institute of Technology 10 Miller’s Yard, 77 Massachusetts Ave. Mill Lane, Cambridge MA 02139-4307 Cambridge. CB2 1RQ. USA tel: +44 (0) 1223 327207 tel. +1 617 253 7732 fax: +44 (0) 1223 765891 fax. +1 617 258 8539 . DRAFT 2 CMI-MDP Programme 1 Introduction This dictionary/glossary has not been developed as a definative work but as a useful reference book for engi- neering students to search when looking for the meaning of a word/phrase. It has been compiled from a number of existing glossaries together with a number of local additions. -
Cmse 520 Biomolecular Structure, Function And
CMSE 520 BIOMOLECULAR STRUCTURE, FUNCTION AND DYNAMICS (Computational Structural Biology) OUTLINE Review: Molecular biology Proteins: structure, conformation and function(5 lectures) Generalized coordinates, Phi, psi angles, DNA/RNA: structure and function (3 lectures) Structural and functional databases (PDB, SCOP, CATH, Functional domain database, gene ontology) Use scripting languages (e.g. python) to cross refernce between these databases: starting from sequence to find the function Relationship between sequence, structure and function Molecular Modeling, homology modeling Conservation, CONSURF Relationship between function and dynamics Confromational changes in proteins (structural changes due to ligation, hinge motions, allosteric changes in proteins and consecutive function change) Molecular Dynamics Monte Carlo Protein-protein interaction: recognition, structural matching, docking PPI databases: DIP, BIND, MINT, etc... References: CURRENT PROTOCOLS IN BIOINFORMATICS (e-book) (http://www.mrw.interscience.wiley.com/cp/cpbi/articles/bi0101/frame.html) Andreas D. Baxevanis, Daniel B. Davison, Roderic D.M. Page, Gregory A. Petsko, Lincoln D. Stein, and Gary D. Stormo (eds.) 2003 John Wiley & Sons, Inc. INTRODUCTION TO PROTEIN STRUCTURE Branden C & Tooze, 2nd ed. 1999, Garland Publishing COMPUTER SIMULATION OF BIOMOLECULAR SYSTEMS Van Gusteren, Weiner, Wilkinson Internet sources Ref: Department of Energy Rapid growth in experimental technologies Human Genome Projects Two major goals 1. DNA mapping 2. DNA sequencing Rapid growth in experimental technologies z Microrarray technologies – serial gene expression patterns and mutations z Time-resolved optical, rapid mixing techniques - folding & function mechanisms (Æ ns) z Techniques for probing single molecule mechanics (AFM, STM) (Æ pN) Æ more accurate models/data for computer-aided studies Weiss, S. (1999). Fluorescence spectroscopy of single molecules. -
Structure of the Lifeact–F-Actin Complex
bioRxiv preprint doi: https://doi.org/10.1101/2020.02.16.951269; this version posted February 16, 2020. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under aCC-BY-NC-ND 4.0 International license. 1 Structure of the Lifeact–F-actin complex 2 Alexander Belyy1, Felipe Merino1,2, Oleg Sitsel1 and Stefan Raunser1* 3 1Department of Structural Biochemistry, Max Planck Institute of Molecular Physiology, Otto-Hahn-Str. 11, 44227 Dortmund, 4 Germany 5 2Current address: Department of Protein Evolution, Max Planck Institute for Developmental Biology, Max-Planck-Ring 5, 6 72076, Tübingen, Germany. 7 *Correspondence should be addressed to: [email protected] 8 9 Abstract 10 Lifeact is a short actin-binding peptide that is used to visualize filamentous actin (F-actin) 11 structures in live eukaryotic cells using fluorescence microscopy. However, this popular probe 12 has been shown to alter cellular morphology by affecting the structure of the cytoskeleton. The 13 molecular basis for such artefacts is poorly understood. Here, we determined the high- 14 resolution structure of the Lifeact–F-actin complex using electron cryo-microscopy. The 15 structure reveals that Lifeact interacts with a hydrophobic binding pocket on F-actin and 16 stretches over two adjacent actin subunits, stabilizing the DNase I-binding loop of actin in the 17 closed conformation. Interestingly, the hydrophobic binding site is also used by actin-binding 18 proteins, such as cofilin and myosin and actin-binding toxins, such as TccC3HVR from 19 Photorhabdus luminescens and ExoY from Pseudomonas aeruginosa. -
Inference and Analysis of Population Structure Using Genetic Data and Network Theory
| INVESTIGATION Inference and Analysis of Population Structure Using Genetic Data and Network Theory Gili Greenbaum,*,†,1 Alan R. Templeton,‡,§ and Shirli Bar-David† *Department of Solar Energy and Environmental Physics and †Mitrani Department of Desert Ecology, Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, 84990 Midreshet Ben-Gurion, Israel, ‡Department of Biology, Washington University, St. Louis, Missouri 63130, and §Department of Evolutionary and Environmental Ecology, University of Haifa, 31905 Haifa, Israel ABSTRACT Clustering individuals to subpopulations based on genetic data has become commonplace in many genetic studies. Inference about population structure is most often done by applying model-based approaches, aided by visualization using distance- based approaches such as multidimensional scaling. While existing distance-based approaches suffer from a lack of statistical rigor, model-based approaches entail assumptions of prior conditions such as that the subpopulations are at Hardy-Weinberg equilibria. Here we present a distance-based approach for inference about population structure using genetic data by defining population structure using network theory terminology and methods. A network is constructed from a pairwise genetic-similarity matrix of all sampled individuals. The community partition, a partition of a network to dense subgraphs, is equated with population structure, a partition of the population to genetically related groups. Community-detection algorithms are used to partition the network into communities, interpreted as a partition of the population to subpopulations. The statistical significance of the structure can be estimated by using permutation tests to evaluate the significance of the partition’s modularity, a network theory measure indicating the quality of community partitions.