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Computational Study of Enzymes and Molecular Machines

Author : Song Yang
Publisher :
Page : 214 pages
File Size : 16,8 MB
Release : 2018
Category :
ISBN :

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Chapters 1-6 describe studies of enzymes and their applications in biocatalysis. Biocatalysis, the use of natural enzymes or engineered enzymes to produce molecules of interest, has been an emerging and favorable approach to supplement or replace traditional organic synthesis. Enzymes are very efficient and selective in catalysis, and enzyme catalysis is also environmentally friendly. The first portion of this dissertation reports the theoretical study of several enzymes that catalyze very different reactions, including oxidation, halogenation as well as Diels-Alder reactions. The study reveals the mechanism behind each enzyme-catalyzed reaction in terms of efficiency, substrate specificity and regio-/stereo selectivity. In addition to the understanding of each enzyme, mutations are proposed based on the mechanism of the enzyme reactions to improve the natural enzymes for better catalysis. Chapter 1 introduces a general strategy for synthesis of macrolactones using nickel catalyzed C-C coupling and a site-selective P450 C-H oxidations carried out at Michigan by the groups of Montgomery and Sherman. Quantum mechanical (QM) computations show the intrinsic energy barriers at different hydrogen atoms at different sites in a single substrate. Molecular dynamic (MD) simulations reproduce the site selectivity and stereoselectivity in the biocatalytic oxidations with the aid of QM results. Our results suggest the linker length and its interaction with the enzyme determines the reaction yield. Chapter 2 presents a study of the first natural Diels-Alderase (DAase) and its mechanism for catalyzing a DA reaction. QM calculations suggest the reaction goes through an ambimodal TS leading to both [4+2] and [6+4] adducts. MD simulations show that trajectories pass through the TS and go to [4+2] adduct more in the enzyme than in gas phase or water. The enzyme influences the outcome of bifurcation dramatically, mainly through hydrophobic contact. The energy barrier of the enzymatic reaction is also reproduced accurately with our newly developed method: Environment Perturbed TS Sampling (EPTSS). Chapter 3 studies the Cope rearrangement and cyclization in hapalindole biogenesis. The X-ray crystal structure of HpiC1 is reported in this study. Mutagenesis study as well as computational computations uncover the key residues for the enzymatic reaction. QM computations show the reaction goes through an acid-catalyzed [3,3]-sigmatropic rearrangement. The switch from hapalindole to fischerindole is explained by the position change of the terminal electrophilic aromatic substitution in MD simulations. Chapter 4 describes the mechanism of Diels-Alderase PyrI4 in pyrroindomycins biosynthesis. Density functional theory (DFT) calculations and EPTSS calculations compare the energy barriers of the reaction in the gas phase, theozyme model, and in the enzyme. Hydrogen bonding has limited contribution to the TS stabilization in the enzyme. MD simulations show that hydrophobic interactions dominate in the catalysis of the enzyme catalyzed Diels-Alder reaction by fitting with the exo TS better than other TSs or the reactants. Chapter 5 presents the study of a multifunctional P450 MycG and its substrate specificity. QM computations reveal the mechanism behind the MycG biopathway. MD simulations show that a hydrophobic cavity in MycG differentiates the three different substrates favors the binding of the natural substrate. Based on MD simulations, potential beneficial mutations are proposed and tested by the Sherman group at Michigan, and are proven to improve the enzyme performance in experiment. Chapter 6 studies flavin dependent halogenase and its regioselectivity in directed evolution. The flavin dependent halogenase RebH was engineered to catalyze chlorination at different regioselective sites of tryptamine. QM calculations reveal that the intrinsic energy barriers at different sites are similar to each other. Docking and MD simulations show the different binding poses are favorable in WT and the mutants. Key mutations are identified through MD simulations and reverse mutations. Chapters 7-9 are projects about molecular machines in solid state as well as solvent phase, studied experimentally by the Garcia-Garibay group. Ever since Prof. Feynman's famous talk "There is plenty of room at the bottom", nanotechnology has witnessed tremendous progress in the synthesis and design of molecular machines capable of mechanical movements. The early stage of molecular machine development was simply to mimic macroscopic designs. However, to succeed in building nanoscale versions of the mechanical world, more understanding is required, rather than simple mimicry. In these chapters, I have studied the dynamics of molecular rotation in dendrimetric materials, MOFs crystal and organic solvents. With computational study, the rotational process is revealed at nanosecond time scale. New designs of molecular machine are proposed to improve their performance in different environments. Chapter 7 studies the rotation of phenyl rings at different parts in a dendrimeric material. Molecular dynamics study reveals the different dynamics of molecular rotations at the core, branches and peripheral ends. The energy surfaces of molecular rotation are scanned using umbrella sampling, and the energy barriers are computed. In Chapter 8, the rotational dynamics of molecular rotors in amphidynamic crystals are studied. The energy barriers of the rotation are computed by QM study to be ~0.2 kcal/mol, consistent with the ultrafast rotation in the rigid BODCA-MOF crystals. MD simulations reveal the ultrafast rotation at different temperatures and find it to be diffusion-like at high temperature. Chapter 9 compares and studies the gearing performance of different molecular spur gears. The gearing efficiency is affected by the distance between the two rotors in molecular gears. Solvent molecules are shown to interfere with the rotation of the molecular rotors and promote slippage rather than gearing. A new design of molecular spur gear is proposed and tested by MD simulations. With a macrocyclic structure, the solvent effect is eliminated and the molecular spur gear is able to gear in solvent phase.

Molecular Machines

Author : Benoît Roux
Publisher : World Scientific
Page : 288 pages
File Size : 34,92 MB
Release : 2011
Category : Science
ISBN : 9814343463

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Ch. 1. Molecular behavior in biological cells : the bacterial cytoplasm as a model system / Adrian H. Elcock and Andrew S. Thomas -- ch. 2. The light-harvesting apparatus in purple photosynthetic bacteria : introduction to a quantum biological device / Johan Strumpfer [und weitere] -- ch. 3. DNA polymerases : structure, function, and modeling / Tamar Schlick -- ch. 4. Information processing by nanomachines : decoding by the ribosome / Karissa Y. Sanbonmatsu, Scott C. Blanchard and Paul C. Whitford -- ch. 5. Chaperonins : the machines which fold proteins / Del Lucent, Martin C Stumpe and Vijay S Pande -- ch. 6. Muscle and myosin / Ronald S. Rock -- ch. 7. Protein kinases : phosphorylation machines / Elaine E. Thompson, Susan S. Taylor and J. Andrew McCammon -- ch. 8. Computational studies of Na+/H+ antiporter : structure, dynamics and function / Assaf Ganoth, Raphael Alhadeff and Isaiah T. Arkin -- ch. 9. Membrane transporters : molecular machines coupling cellular energy to vectorial transport across the membrane / Zhijian Huang [und weitere] -- ch. 10. ABC transporters / E.P. Coll and D.P. Tieleman -- ch. 11. Sodium-coupled secondary transporters : insights from structure-based computations / Elia Zomot [und weitere] -- ch. 12. Voltage-gated ion channels : the machines responsible for the nerve impulse / Benoit Roux and Francisco Bezanilla -- ch. 13. Voltage-gated channels and the heart / Jonathan R. Silva and Yoram Rudy

Computational Approaches for Studying Enzyme Mechanism Part A

Author :
Publisher : Academic Press
Page : 560 pages
File Size : 46,96 MB
Release : 2016-08-04
Category : Science
ISBN : 0128053631

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Computational Approaches for Studying Enzyme Mechanism Part A, is the first of two volumes in the Methods in Enzymology series, focusses on computational approaches for studying enzyme mechanism. The serial achieves the critically acclaimed gold standard of laboratory practices and remains one of the most highly respected publications in the molecular biosciences. Each volume is eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with over 550 volumes, the series remains a prominent and essential publication for researchers in all fields of life sciences and biotechnology, including biochemistry, chemical biology, microbiology, synthetic biology, cancer research, and genetics to name a few. Focuses on computational approaches for studying enzyme mechanism Continues the legacy of this premier serial with quality chapters authored by leaders in the field Covers research methods in intermediate filament associated proteins, and contains sections on such topics as lamin-associated proteins, intermediate filament-associated proteins and plakin, and other cytoskeletal cross-linkers

Computational Approaches for Studying Enzyme Mechanism Part B

Author :
Publisher : Academic Press
Page : 538 pages
File Size : 27,28 MB
Release : 2016-08-03
Category : Science
ISBN : 0128111089

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Computational Approaches for Studying Enzyme Mechanism, Part B is the first of two volumes in the Methods in Enzymology series that focuses on computational approaches for studying enzyme mechanism. The serial achieves the critically acclaimed gold standard of laboratory practices and remains one of the most highly respected publications in the molecular biosciences. Each volume is eagerly awaited, frequently consulted, and praised by researchers and reviewers alike. Now with over 550 volumes, the series remains a prominent and essential publication for researchers in all fields of the life sciences and biotechnology, including biochemistry, chemical biology, microbiology, synthetic biology, cancer research, genetics, and other fields of study. Focuses on computational approaches for studying enzyme mechanism Continues the legacy of this premier serial with quality chapters authored by leaders in the field Covers research methods in intermediate filament associated proteins, and contains sections on such topics as lamin-associated proteins, intermediate filament-associated proteins and plakin, and other cytoskeletal cross-linkers

Computational Modeling: From Chemistry To Materials To Biology - Proceedings Of The 25th Solvay Conference On Chemistry

Author : Kurt Wuthrich
Publisher : World Scientific
Page : 372 pages
File Size : 11,85 MB
Release : 2020-12-21
Category : Science
ISBN : 9811228221

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Chaired by K Wüthrich (Nobel Laureate in Chemistry, 2002) and co-chaired by B Weckhuysen, this by-invitation-only conference has gathered 39 participants — who are leaders in the field of computational modeling and its applications in Chemistry, Material Sciences and Biology. Highlights of the Conference Proceedings are short, prepared statements by all the participants and the records of lively discussions on the current and future perspectives in the field of computational modeling, from chemistry to materials to biology.

Simulating Enzyme Reactivity

Author : Inaki Tunon
Publisher : Royal Society of Chemistry
Page : 558 pages
File Size : 30,89 MB
Release : 2016-11-16
Category : Science
ISBN : 1782626832

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The simulation of enzymatic processes is a well-established field within computational chemistry, as demonstrated by the 2013 Nobel Prize in Chemistry. It has been attracting increasing attention in recent years due to the potential applications in the development of new drugs or new environmental-friendly catalysts. Featuring contributions from renowned authors, including Nobel Laureate Arieh Warshel, this book explores the theories, methodologies and applications in simulations of enzyme reactions. It is the first book offering a comprehensive perspective of the field by examining several different methodological approaches and discussing their applicability and limitations. The book provides the basic knowledge for postgraduate students and researchers in chemistry, biochemistry and biophysics, who want a deeper understanding of complex biological process at the molecular level.

Molecular Machines

Author : T. Ross Kelly
Publisher : Springer Science & Business Media
Page : 256 pages
File Size : 26,91 MB
Release : 2005-12-20
Category : Science
ISBN : 9783540285014

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The chapters in this volume describe bottom-up strategies and chronicle cutting-edge advances from several of the world’s leading laboratories engaged in the development of molecular machines. The Nobel Prize in Chemistry 2016 was awarded jointly to Jean-Pierre Sauvage, Sir J. Fraser Stoddart and Bernard L. Feringa "for the design and synthesis of molecular machines". Both Jean-Pierre Sauvage and Sir J. Fraser Stoddart have also contributed to this book.

Computational Approaches in Cheminformatics and Bioinformatics

Author : Rajarshi Guha
Publisher : John Wiley & Sons
Page : 299 pages
File Size : 44,36 MB
Release : 2012-01-04
Category : Science
ISBN : 0470384417

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A breakthrough guide employing knowledge that unites cheminformatics and bioinformatics as innovation for the future Bridging the gap between cheminformatics and bioinformatics for the first time, Computational Approaches in Cheminformatics and Bioinformatics provides insight on how to blend these two sciences for progressive research benefits. It describes the development and evolution of these fields, how chemical information may be used for biological relations and vice versa, the implications of these new connections, and foreseeable developments in the future. Using algorithms and domains as workflow tools, this revolutionary text drives bioinformaticians to consider chemical structure, and similarly, encourages cheminformaticians to consider large biological systems such as protein targets and networks. Computational Approaches in Cheminformatics and Bioinformatics covers: Data sources available for modelling and prediction purposes Developments of conventional Quantitative Structure-Activity Relationships (QSAR) Computational tools for manipulating chemical and biological data Novel ways of probing the interactions between small molecules and proteins Also including insight from public (NIH), academic, and industrial sources (Novartis, Pfizer), this book offers expert knowledge to aid scientists through industry and academic study. The invaluable applications for drug discovery, cellular and molecular biology, enzymology, and metabolism make Computational Approaches in Cheminformatics and Bioinformatics the essential guidebook for evolving drug discovery research and alleviating the issue of chemical control and manipulation of various systems.

Algorithms in Structural Molecular Biology

Author : Bruce R. Donald
Publisher : MIT Press
Page : 497 pages
File Size : 41,82 MB
Release : 2023-08-15
Category : Science
ISBN : 0262548798

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An overview of algorithms important to computational structural biology that addresses such topics as NMR and design and analysis of proteins.Using the tools of information technology to understand the molecular machinery of the cell offers both challenges and opportunities to computational scientists. Over the past decade, novel algorithms have been developed both for analyzing biological data and for synthetic biology problems such as protein engineering. This book explains the algorithmic foundations and computational approaches underlying areas of structural biology including NMR (nuclear magnetic resonance); X-ray crystallography; and the design and analysis of proteins, peptides, and small molecules. Each chapter offers a concise overview of important concepts, focusing on a key topic in the field. Four chapters offer a short course in algorithmic and computational issues related to NMR structural biology, giving the reader a useful toolkit with which to approach the fascinating yet thorny computational problems in this area. A recurrent theme is understanding the interplay between biophysical experiments and computational algorithms. The text emphasizes the mathematical foundations of structural biology while maintaining a balance between algorithms and a nuanced understanding of experimental data. Three emerging areas, particularly fertile ground for research students, are highlighted: NMR methodology, design of proteins and other molecules, and the modeling of protein flexibility. The next generation of computational structural biologists will need training in geometric algorithms, provably good approximation algorithms, scientific computation, and an array of techniques for handling noise and uncertainty in combinatorial geometry and computational biophysics. This book is an essential guide for young scientists on their way to research success in this exciting field.