Year: 2022
Type: article
Abstract: We propose an application of molecular information theory to analyze the folding of single domain proteins. We analyze results from various areas of protein science, such as sequence-based potentials, reduced amino acid alphabets, backbone configurational entropy, secondary structure content, residue burial layers, and mutational studies of protein stability changes. We found that the average information contained in the sequences of evolved proteins is very close to the average information needed to specify a fold ∼2.2 ± 0.3 bits/(site·operation). The effective alphabet size in evolved proteins equals the effective number of conformations of a residue in the compact unfolded state at around 5. We calculated an energy-to-information conversion efficiency upon folding of around 50%, lower than the theoretical limit of 70%, but much higher than human-built macroscopic machines. We propose a simple mapping between molecular information theory and energy landscape theory and explore the connections between sequence evolution, configurational entropy, and the energetics of protein folding.
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Funders: National Aeronautics and Space Administration, Consejo Nacional de Investigaciones Científicas y Técnicas, Nuclear Safety and Security Commission, Universidad de Buenos Aires, NASA Astrobiology Institute, Agencia Nacional de Promoción Científica y Tecnológica, Secretaría de Ciencia y Técnica, Universidad de Buenos Aires, Fondo para la Investigación Científica y Tecnológica
Awards: Termodinámica y evolución de proteínas repetitivas, G2439265903, G2530935101, G2856456395, G301926269, G334659542, G3495545368, G5586110661, G5968719984, G7378882120, LIFE IS ELECTRIC. THE ELECTRONIC CIRCUITRY IS CATALYZED BY A SMALL SUBSET OF PROTEINS THAT FUNCTION AS SOPHISTICATED NANOMACHINES. CURRENTLY VERY LITTLE IS KNOWN ABOUT THE ORIGIN OF PROTEINS ON EARTH AND THEIR EVOLUTION IN EARLY MICROBIAL LIFE. TO FILL THIS KNOWLEDGE GAP THE ENIGMA RESEARCH PROGRAM WILL CARRY OUT EXPERIMENTAL BIOINFORMATIC DATA-DRIVEN ABDUCTIVE STUDIES TO EXPLORE THE ORIGIN OF CATALYSIS THE EVOLUTION OF PROTEIN STRUCTURES IN MICROBIAL ANCESTORS AND THE CO-EVOLUTION OF PROTEINS AND THE GEOSPHERE THROUGH GEOLOGIC TIME. ENIGMA HAS THREE INTEGRATED RESEARCH THEMES FOCUSED ON UNDERSTANDING THE EVOLUTION OF PROTEINS INVOLVED IN ELECTRON TRANSFER AND ENERGY GENERATION. THEME 1 WILL INVESTIGATE THE SYNTHESIS AND FUNCTION OF METALLOPROTEINS IN PREBIOTIC SYSTEMS. EXTANT MICROBIAL PROTEINS WILL BE ANALYZED TO IDENTIFY THE SIMPLEST STRUCTURES THAT CAN PERFORM ELECTRON TRANSFER REACTIONS. USING DE NOVO COMPUTATIONAL PROTEIN DESIGN SMALL PEPTIDES WILL BE SYNTHESIZED AND CHARACTERIZED TO ELUCIDATE THE EARLIEST BIOCHEMICAL REACTIONS IN THE ORIGIN OF LIFE. THEME 2 WILL EXAMINE THE EMERGENT COMPLEXITY OF METALLOPROTEINS IN MICROBIAL ANCESTORS. NEW COMPUTATIONAL METHODS LINKING PROTEIN STRUCTURE AND PHYLOGENY WILL BE DEVELOPED TO STUDY THE EVOLUTION OF METAL BINDING LIGANDS IN PROTEINS. A STRUCTURAL ALIGNMENT-BASED HOMOLOGY APPROACH WILL BE USED TO IDENTIFY THE OLDEST STRUCTURES IN PROTEINS AND TO TRACE THE EARLY EVOLUTION OF METAL BINDING FOLDS. THEME 3 WILL EXPLORE THE CO-EVOLUTION OF PROTEINS AND THE GEOSPHERE. DEEP-TIME DATA ON THE NATURE AND DISTRIBUTION OF REDOX-SENSITIVE ELEMENTS IN ROCKS AND MINERALS WILL BE INTEGRATED WITH PROTEIN STRUCTURAL DATA IN THE PROTEIN DATA BANK. MINERALOGICAL DATA (E.G. MINERAL COMPOSITION SOLUBILITY AND AGE) WILL BE INCORPORATED INTO GEOCHEMICAL MODELS TO CONSTRAIN THE BIOAVAILABILITY OF METALS OVER GEOLOGIC TIME AND METAL BIOAVAILABILITY DURING ARCHEAN AND PROTEROZOIC ERAS WILL USED TO DATE SPECIFIC POSITIONS IN THE EVOLUTIONARY TREE CONSTRUCTED IN THEME 2. THE THREE ENIGMA RESEARCH THEMES ARE DIRECTLY RELEVANT TO THE MAJOR TOPICS SYNTHESIS AND FUNCTION OF MACROMOLECULES IN THE ORIGIN OF LIFE EARLY LIFE AND INCREASING COMPLEXITY AND CO-EVOLUTION OF LIFE AND THE PHYSICAL ENVIRONMENT IDENTIFIED IN THE 2015 ASTROBIOLOGY SCIENCE STRATEGY. FURTHERMORE THE ENIGMA PROGRAM COMPLEMENTS THE NAI CAN 7 TEAMS ON EXPERIMENTAL MICROBIAL GENOMICS (GEORGIA TECH) AND LIFE ON A DYNAMIC EARLY EARTH (UC RIVERSIDE). THE RESULTS OF THE ENIGMA RESEARCH PROGRAM WILL HELP THE NAI ANSWER A CENTRAL QUESTION IN ASTROBIOLOGY: HOW DID PROTEINS EVOLVE TO BECOME THE CATALYSTS OF LIFE ON EARTH?, G8792530801
OpenAlex ID: W4307345195