Chemistry at Harvard Molecular Mechanics ______

Total Page:16

File Type:pdf, Size:1020Kb

Chemistry at Harvard Molecular Mechanics ______ LECTURE 24 CHARMM course 21-MAR-2006 CHARMM ______ Chemistry at HARvard Molecular Mechanics _ ___ _ _ Twenty-Fourth Lecture: _____________________________________________________________ Combined QM/MM Modeling and Simulation Documentation qmmm.doc qchem.doc gamess.doc gamess-uk.doc sccdftb.doc mndo97.doc cadpac.doc diesel.doc charmmrate.doc cheq.doc flucq.doc Examples ------------------------------------------------------- None Available ------------------------------------------------------- No Homework Problem _____________________________________________________________ QM/MM Modeling Approach ● Couple quantum mechanics and molecular mechanics approaches (e.g. QM/MM) ● QM treatment of the active site – reacting center – excited state processes (e.g. spectroscopy) – problem structures (e.g. complex transition metal center) ● Classical MM treatment of environment – enzyme structure – explicit solvent molecules – bulky organometallic ligan ds General QM/MM Methodology ● The QM/MM potential energy is implemented via solving the Schrödinger equation with an effective Hamiltonian H eff r , Ra , RM = E Ra ,R M r , Ra , RM ● Where Heff and HQM/MM are defined as.... H eff = H QM H MM H QM / MM qM Z A qM A A, M B A, M H QM / MM = −∑ ∑ ∑ 12 − 6 i , M ri M A, M R A, M A , M R A , M R A , M ● The total energy is then: 〈 ∣H QM H QM/ MM∣ 〉 Warshel, A.; Levitt, M. J. Mol. Biol. 1976, 103, 227-249. Singh, U. C.; Kollman, P. A. J. Comp. Chem. 1986, 7, 718-730. Etot = EMM Field, M.J.; Bash, P.A.; Karplus, M. J. Comp. Chem. 1990, 11, 700-733. Lyne, P.D.; Hodoscek, M.; Karplus, M. J. Phys. Chem. A 1993, 103, 3462-3471. 〈∣ 〉 Eurenius, K.P.; Chatfield, D.C.; Brooks, B.R.; Hodoscek, M. Int. J. Quant. Chem. 1996, 60, 1189. Implementations of QM/MM Implementations of QM/MM Implementations of QM/MM ● Semi-empirical ● Pros: – AM1 – Fast – PM3 – Simpler than ab initio QM methods – MNDO – In many cases describes – PDP3 (PDDG/PM3) system(s) correctly – PDMN (PDDG/MNDO) ● Cons: – SCCDFTB – Reduced accuracy – Only restricted wavefunctions (caveat...) – Parameters – Ground state methods – Only valence electrons treated explicitly Implementations of QM/MM ● Ab initio ● Pros: – HF – Accuracy – DFT ● Much better description of wavefunction (e.g. ● Pure: BLYP correlation) ● Hybrid: B3LYP – Flexibility ● RI methods ● Cons: – MP2 – Performance ● Local methods ● Speed ● RI methods ● System size limitations – CCSD – More complex than semi- – Multireference methods empirical methods ● CASSCF ● Spin-flip ● EOM Additional Implementations of QM/MM ● Empirical Valence Bond ● SCCDFTB (EVB) – Empirical approximation to – Approximates QM DFT (B3LYP) interactions – QM/MM implementation – Mixes valence bond via CHARMM configurations – Approximately the same ● Must define bonding cost as AM1, PM3 patterns in “QM” ● But better accuracy system – Actively being developed – Requires parameterization ● Q. Cui ● M. Elstner Additional Implementations of QM/MM ● ONIOM: Morokuma et al. – QM/MM, QM/QM, QM/QM/MM and QM/QM/QM – Subtractive method – Pro: Easy to use! – Widely available: Gaussian, Q-Chem 3.0 Additional Implementations of QM/MM ● CPMD: Car-Parrinello Molecular Dynamics – Employees DFT ● Mostly restricted to pure DFT functionals – QM wavefunction is propagated through the dynamics – Electronic motion can become coupled to the nuclear motion ● Should not happen in the Born-Oppenheimer approximation – Employees plane wave basis functions ● Needs a lot of them to describe the wave function accurately – Employees Effective Core Potentials (ECP) QM/MM Boundary Treatments QM/MM Boundary Treatments ● Single Link Atom (Singh and Kollman) ● Double Link Atom (Brooks and coworkers) – Gaussian Blur ● Generalized Hybrid Orbital (GHO) Approximation – Gao and coworkers ● Local Self-Consistent Field (LSCF) – Rivail and coworkers ● Frozen Orbital Approximation – Friesner and coworkers ● Pseudobond Methods – Yang and coworkers Amara and Field; Theor Chem Acc (2003)109:43–52 QM/MM Boundary Treatments QM/MM Boundary Treatments EXGR: QM/MM Electrostatics for link host groups removed Use CHARMM's lone pair facility to keep H (Link) atoms in proper orientation QM/MM Boundary Treatments QM/MM Boundary Treatments DGMM: Delocalized Gaussian MM charges (e.g. Blurred Gaussian functions) QM/MM Boundary Treatments Generalized Hybrid Orbital (GHO) Local Self-Consistent Field (LSCF) Frozen Orbital Approximation Pseudobond Method CHARMM Element doc/qmmm.doc 1.1 # File: qmmm, Node: Top, Up: (chmdoc/commands.doc), Next: Syntax Combined Quantum and Molecular Mechanical Hamiltonian A combined quantum (QM) and molecular (MM) mechanical potential allows for the study of condensed phase chemical reactions, reactive intermediates, and excited state isomerizations. This is necessary since standard MM force fields are parameterized with experimental data on the potential energy surface which may be far removed from the region of interest, or have the wrong analytical form. A full decription of the theory and application is given in J. Computational Chemistry (1990) 6, 700. The effective Hamiltonian, Heff, describes the energy and forces on each atom. It is treated as a sum of four terms, Hqm, Hmm, Hqm/mm, and Hbrdy. Hqm Describes the quantum mechanical particles. The semi- empirical methods available are AM1, PM3 and MNDO. All treat hydrogen, first row elements plus silicon, phosphorus, sulfur, and the halogens. MNDO has additional parameters for aluminium, phosphorus, chromium, germanium, tin, mercury, and lead. Full details concerning these theoretical methods can be found in Dewar's original papers, JACS (1985) 107, 3902, JACS (1977) 99, 4899, Theoret. Chim. Acta. (1977) 46, 89. Hmm The molecular mechanical Hamiltonian is independent of the coordinates of the electrons and nuclei of the QM atoms. CHARMM22 is used to treat atoms in this region. Hqm/mm The combined Hamiltonian describes how QM and MM atoms interact. This is composed of two electrostatic and one van der Waals terms. Each MM atom interacts with both the electrons and nuclei of the QM atoms (therefore two terms). The van der Waals term is necessary since some MM atoms possess no charge and would consequently be invisible to the QM atoms, and in other cases often provide the only difference in the interaction (Cl vs. Br). Hbrdy The usual periodic or stochastic boundary conditions are implemented. The quantum mechanical package MOPAC 4.0 was interfaced with CHARMM22. This was provided by James P. P. Stewart from the Air Force Academy. There are several limitations with the current program implemntation. The current plan is to update the quantum mechanical procedures to MOPAC 6.0, to include vibrational analysis using analytical functions, with the possibility of using free energy perturbation. * Menu: 1) QUANTUM module * Syntax:: Syntax of QM/MM Commands * Description:: Brief Description of Quantum Commands * GLINK:: GHO Method and GLNK Command * DECO:: DECO Command * DAMP:: DAMP Command * PERT:: PERT Command * pBOUNd:: Simple Periodic Boundary Condition * GROUp:: GROUp keyword * CHDYn:: CHDYn keyword * NEWD:: NEWDS Command * EXTE:: EXTErnal File Command * LEPS:: LEPS Command * SVB:: SVB Command * 2DSVB:: 2D Usage of SVB 2) SQUANTM module * SQUANTUM:: SQUANTUM Module * SQM_Syntax:: Syntax of the SQUANTM commands * SQM_Install:: Installation of SQUANTM in CHARMM environment # File: qmmm, Node: Syntax, Up: Top, Previous: Top, Next: Description Syntax for QUANTUM commands QUANtum [atom-selection] [GLNK atom-selection] [LEPS int1 int2 int3] [DECO] [PERT REF0 lambda0 PER1 lambda1 PER2 lambda2 TEMP finalT] [NGUEss int] [NEWD int] ewald-spec [IFIL int] [ITRMax int] [CAMP] [KING] [PULAy] [SHIFt real] [SCFCriteria real] [UHF] [C.I.] [EXCIted] [NMOS int] [MICR int] [TRIPLET|QUARTET|QUINTET|SEXTET] [AM1|PM3|MNDO] [CHARge int] [NOCUtoff] [ALPM real] [RHO0 real] [SFT1 real] [EXCIted] [BIRADical] [C.I.] [ITER] [EIG2] [ENERGY] [ PL ] [DEBUG [1ELEC] [DENSITY] [FOCK] [VECTor]] [LEPS LEPA int LEPB int LEPC int D1AB real D1BC real D1AC real R1AB real R1BC real R1AC real B1AB real B1BC real B1AC real S1AB real S1BC real S1AC real D2AB real D2BC real D2AC real R2AB real R2BC real R2AC real B2AB real B2BC real B2AC real S2AB real S2BC real S2AC real] ewald-spec::= { [ KMAX integer ] } KSQMAX integer { KMXX integer KMXY integer KMXZ integer } MULLiken ADDLinkatom link-atom-name atom-spec atom-spec RELLinkatom link-atom-name atom-spec atom-spec link-atom-name ::= a four character descriptor starting with QQ. atom-spec::= {residue-number atom-name} { segid resid atom-name } { BYNUm atom-number } # File: qmmm, Node: Description, Up: Top, Previous: Syntax, Next: GLNK Description of QUANtum Commands Most keywords preceed an equal sign followed by an appropriate value. A description of each is given below. 1ELECtron The final one-electron matrix is printed out. This matrix is composed of atomic orbitals; the array element between orbitals i and j on different atoms is given by, H(i,j) = 0.5 (beta(i) + beta(j)(overlap(i,j)) The matrix elements between orbitals i and j on the same atom are calculated from the electron-nuclear attraction energy, and also from the U(i) value if i=j. The one-electron matrix is unaffected by (a) the charge and (b) the electron density. It is only a function of the geometry. Abbreviation: 1ELEC. 0SCF The data can be read in and output, but no actual calculation is performed when this keyword is used. This is useful as a check on the input data. All obvious errors are trapped, and warning messages printed. A second use is to convert
Recommended publications
  • MODELLER 10.1 Manual
    MODELLER A Program for Protein Structure Modeling Release 10.1, r12156 Andrej Saliˇ with help from Ben Webb, M.S. Madhusudhan, Min-Yi Shen, Guangqiang Dong, Marc A. Martı-Renom, Narayanan Eswar, Frank Alber, Maya Topf, Baldomero Oliva, Andr´as Fiser, Roberto S´anchez, Bozidar Yerkovich, Azat Badretdinov, Francisco Melo, John P. Overington, and Eric Feyfant email: modeller-care AT salilab.org URL https://salilab.org/modeller/ 2021/03/12 ii Contents Copyright notice xxi Acknowledgments xxv 1 Introduction 1 1.1 What is Modeller?............................................. 1 1.2 Modeller bibliography....................................... .... 2 1.3 Obtainingandinstallingtheprogram. .................... 3 1.4 Bugreports...................................... ............ 4 1.5 Method for comparative protein structure modeling by Modeller ................... 5 1.6 Using Modeller forcomparativemodeling. ... 8 1.6.1 Preparinginputfiles . ............. 8 1.6.2 Running Modeller ......................................... 9 2 Automated comparative modeling with AutoModel 11 2.1 Simpleusage ..................................... ............ 11 2.2 Moreadvancedusage............................... .............. 12 2.2.1 Including water molecules, HETATM residues, and hydrogenatoms .............. 12 2.2.2 Changing the default optimization and refinement protocol ................... 14 2.2.3 Getting a very fast and approximate model . ................. 14 2.2.4 Building a model from multiple templates . .................. 15 2.2.5 Buildinganallhydrogenmodel
    [Show full text]
  • Supporting Information
    Electronic Supplementary Material (ESI) for RSC Advances. This journal is © The Royal Society of Chemistry 2020 Supporting Information How to Select Ionic Liquids as Extracting Agent Systematically? Special Case Study for Extractive Denitrification Process Shurong Gaoa,b,c,*, Jiaxin Jina,b, Masroor Abroc, Ruozhen Songc, Miao Hed, Xiaochun Chenc,* a State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, 102206, China b Research Center of Engineering Thermophysics, North China Electric Power University, Beijing, 102206, China c Beijing Key Laboratory of Membrane Science and Technology & College of Chemical Engineering, Beijing University of Chemical Technology, Beijing 100029, PR China d Office of Laboratory Safety Administration, Beijing University of Technology, Beijing 100124, China * Corresponding author, Tel./Fax: +86-10-6443-3570, E-mail: [email protected], [email protected] 1 COSMO-RS Computation COSMOtherm allows for simple and efficient processing of large numbers of compounds, i.e., a database of molecular COSMO files; e.g. the COSMObase database. COSMObase is a database of molecular COSMO files available from COSMOlogic GmbH & Co KG. Currently COSMObase consists of over 2000 compounds including a large number of industrial solvents plus a wide variety of common organic compounds. All compounds in COSMObase are indexed by their Chemical Abstracts / Registry Number (CAS/RN), by a trivial name and additionally by their sum formula and molecular weight, allowing a simple identification of the compounds. We obtained the anions and cations of different ILs and the molecular structure of typical N-compounds directly from the COSMObase database in this manuscript.
    [Show full text]
  • GROMACS: Fast, Flexible, and Free
    GROMACS: Fast, Flexible, and Free DAVID VAN DER SPOEL,1 ERIK LINDAHL,2 BERK HESS,3 GERRIT GROENHOF,4 ALAN E. MARK,4 HERMAN J. C. BERENDSEN4 1Department of Cell and Molecular Biology, Uppsala University, Husargatan 3, Box 596, S-75124 Uppsala, Sweden 2Stockholm Bioinformatics Center, SCFAB, Stockholm University, SE-10691 Stockholm, Sweden 3Max-Planck Institut fu¨r Polymerforschung, Ackermannweg 10, D-55128 Mainz, Germany 4Groningen Biomolecular Sciences and Biotechnology Institute, University of Groningen, Nijenborgh 4, NL-9747 AG Groningen, The Netherlands Received 12 February 2005; Accepted 18 March 2005 DOI 10.1002/jcc.20291 Published online in Wiley InterScience (www.interscience.wiley.com). Abstract: This article describes the software suite GROMACS (Groningen MAchine for Chemical Simulation) that was developed at the University of Groningen, The Netherlands, in the early 1990s. The software, written in ANSI C, originates from a parallel hardware project, and is well suited for parallelization on processor clusters. By careful optimization of neighbor searching and of inner loop performance, GROMACS is a very fast program for molecular dynamics simulation. It does not have a force field of its own, but is compatible with GROMOS, OPLS, AMBER, and ENCAD force fields. In addition, it can handle polarizable shell models and flexible constraints. The program is versatile, as force routines can be added by the user, tabulated functions can be specified, and analyses can be easily customized. Nonequilibrium dynamics and free energy determinations are incorporated. Interfaces with popular quantum-chemical packages (MOPAC, GAMES-UK, GAUSSIAN) are provided to perform mixed MM/QM simula- tions. The package includes about 100 utility and analysis programs.
    [Show full text]
  • Chem Compute Quickstart
    Chem Compute Quickstart Chem Compute is maintained by Mark Perri at Sonoma State University and hosted on Jetstream at Indiana University. The Chem Compute URL is https://chemcompute.org/. We will use Chem Compute as the frontend for running electronic structure calculations with The General Atomic and Molecular Electronic Structure System, GAMESS (http://www.msg.ameslab.gov/gamess/). Chem Compute also provides access to other computational chemistry resources including PSI4 and the molecular dynamics packages TINKER and NAMD, though we will not be using those resource at this time. Follow this link, https://chemcompute.org/gamess/submit, to directly access the Chem Compute GAMESS guided submission interface. If you are a returning Chem Computer user, please log in now. If your University is part of the InCommon Federation you can log in without registering by clicking Login then "Log In with Google or your University" – select your University from the dropdown list. Otherwise if this is your first time working with Chem Compute, please register as a Chem Compute user by clicking the “Register” link in the top-right corner of the page. This gives you access to all of the computational resources available at ChemCompute.org and will allow you to maintain copies of your calculations in your user “Dashboard” that you can refer to later. Registering also helps track usage and obtain the resources needed to continue providing its service. When logged in with the GAMESS-Submit tabs selected, an instruction section appears on the left side of the page with instructions for several different kinds of calculations.
    [Show full text]
  • Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development
    processes Review Molecular Dynamics Simulations in Drug Discovery and Pharmaceutical Development Outi M. H. Salo-Ahen 1,2,* , Ida Alanko 1,2, Rajendra Bhadane 1,2 , Alexandre M. J. J. Bonvin 3,* , Rodrigo Vargas Honorato 3, Shakhawath Hossain 4 , André H. Juffer 5 , Aleksei Kabedev 4, Maija Lahtela-Kakkonen 6, Anders Støttrup Larsen 7, Eveline Lescrinier 8 , Parthiban Marimuthu 1,2 , Muhammad Usman Mirza 8 , Ghulam Mustafa 9, Ariane Nunes-Alves 10,11,* , Tatu Pantsar 6,12, Atefeh Saadabadi 1,2 , Kalaimathy Singaravelu 13 and Michiel Vanmeert 8 1 Pharmaceutical Sciences Laboratory (Pharmacy), Åbo Akademi University, Tykistökatu 6 A, Biocity, FI-20520 Turku, Finland; ida.alanko@abo.fi (I.A.); rajendra.bhadane@abo.fi (R.B.); parthiban.marimuthu@abo.fi (P.M.); atefeh.saadabadi@abo.fi (A.S.) 2 Structural Bioinformatics Laboratory (Biochemistry), Åbo Akademi University, Tykistökatu 6 A, Biocity, FI-20520 Turku, Finland 3 Faculty of Science-Chemistry, Bijvoet Center for Biomolecular Research, Utrecht University, 3584 CH Utrecht, The Netherlands; [email protected] 4 Swedish Drug Delivery Forum (SDDF), Department of Pharmacy, Uppsala Biomedical Center, Uppsala University, 751 23 Uppsala, Sweden; [email protected] (S.H.); [email protected] (A.K.) 5 Biocenter Oulu & Faculty of Biochemistry and Molecular Medicine, University of Oulu, Aapistie 7 A, FI-90014 Oulu, Finland; andre.juffer@oulu.fi 6 School of Pharmacy, University of Eastern Finland, FI-70210 Kuopio, Finland; maija.lahtela-kakkonen@uef.fi (M.L.-K.); tatu.pantsar@uef.fi
    [Show full text]
  • Cygwin User's Guide
    Cygwin User’s Guide Cygwin User’s Guide ii Copyright © Cygwin authors Permission is granted to make and distribute verbatim copies of this documentation provided the copyright notice and this per- mission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this documentation under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this documentation into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the Free Software Foundation. Cygwin User’s Guide iii Contents 1 Cygwin Overview 1 1.1 What is it? . .1 1.2 Quick Start Guide for those more experienced with Windows . .1 1.3 Quick Start Guide for those more experienced with UNIX . .1 1.4 Are the Cygwin tools free software? . .2 1.5 A brief history of the Cygwin project . .2 1.6 Highlights of Cygwin Functionality . .3 1.6.1 Introduction . .3 1.6.2 Permissions and Security . .3 1.6.3 File Access . .3 1.6.4 Text Mode vs. Binary Mode . .4 1.6.5 ANSI C Library . .4 1.6.6 Process Creation . .5 1.6.6.1 Problems with process creation . .5 1.6.7 Signals . .6 1.6.8 Sockets . .6 1.6.9 Select . .7 1.7 What’s new and what changed in Cygwin . .7 1.7.1 What’s new and what changed in 3.2 .
    [Show full text]
  • The Focus - Issue 36
    Contents The Focus - Issue 36 A Publication for ANSYS Users Contents Feature Articles ● Linux & ANSYS: Lessons Learned ● Backup Tool ● Design Modeler FAQ On the Web ● APDL Customization course notes now available for purchase ● ANSYS and MathCAD ● ANSYS Acquires Century Dynamics Resources ● PADT Support: How can we help? ● Upcoming Training at PADT ● About The Focus ❍ The Focus Library ❍ Contributor Information ❍ Subscribe / Unsubscribe ❍ Legal Disclaimer http://www.padtinc.com/epubs/focus/common/contents.asp [3/28/2005 9:06:12 AM] Linux & ANSYS: Lessons Learned The Focus - Issue 36 A Publication for ANSYS Users Linux & ANSYS: Lessons Learned by Eric Miller, PADT Every couple of years, the computing picture for analysts gets turned upside down. For a long time now the industry has been moving from Unix workstations to Windows/Intel desktop machines. The wintel price/performance has been fantastic, the IT guys are happier, and all of that productivity software that you spend so much time with runs in the same spot. We have been happy with a stable and known environment. However, accepting the fact that unless you work for a big company that can buy some Unix servers, you just don’t have an easy way to get some extra horsepower other then getting a new box. Then along comes this Finnish guy that may or may not have been named after Lucy’s little brother. With not much of a life and a very large brain, he popped out the majority of a complete and free version of Unix that anyone can use, breaking the stranglehold of (expensive) proprietary Unix OS’s that ran on (expensive) proprietary hardware.
    [Show full text]
  • Starting SCF Calculations by Superposition of Atomic Densities
    Starting SCF Calculations by Superposition of Atomic Densities J. H. VAN LENTHE,1 R. ZWAANS,1 H. J. J. VAN DAM,2 M. F. GUEST2 1Theoretical Chemistry Group (Associated with the Department of Organic Chemistry and Catalysis), Debye Institute, Utrecht University, Padualaan 8, 3584 CH Utrecht, The Netherlands 2CCLRC Daresbury Laboratory, Daresbury WA4 4AD, United Kingdom Received 5 July 2005; Accepted 20 December 2005 DOI 10.1002/jcc.20393 Published online in Wiley InterScience (www.interscience.wiley.com). Abstract: We describe the procedure to start an SCF calculation of the general type from a sum of atomic electron densities, as implemented in GAMESS-UK. Although the procedure is well known for closed-shell calculations and was already suggested when the Direct SCF procedure was proposed, the general procedure is less obvious. For instance, there is no need to converge the corresponding closed-shell Hartree–Fock calculation when dealing with an open-shell species. We describe the various choices and illustrate them with test calculations, showing that the procedure is easier, and on average better, than starting from a converged minimal basis calculation and much better than using a bare nucleus Hamiltonian. © 2006 Wiley Periodicals, Inc. J Comput Chem 27: 926–932, 2006 Key words: SCF calculations; atomic densities Introduction hrstuhl fur Theoretische Chemie, University of Kahrlsruhe, Tur- bomole; http://www.chem-bio.uni-karlsruhe.de/TheoChem/turbo- Any quantum chemical calculation requires properly defined one- mole/),12 GAMESS(US) (Gordon Research Group, GAMESS, electron orbitals. These orbitals are in general determined through http://www.msg.ameslab.gov/GAMESS/GAMESS.html, 2005),13 an iterative Hartree–Fock (HF) or Density Functional (DFT) pro- Spartan (Wavefunction Inc., SPARTAN: http://www.wavefun.
    [Show full text]
  • Parameterizing a Novel Residue
    University of Illinois at Urbana-Champaign Luthey-Schulten Group, Department of Chemistry Theoretical and Computational Biophysics Group Computational Biophysics Workshop Parameterizing a Novel Residue Rommie Amaro Brijeet Dhaliwal Zaida Luthey-Schulten Current Editors: Christopher Mayne Po-Chao Wen February 2012 CONTENTS 2 Contents 1 Biological Background and Chemical Mechanism 4 2 HisH System Setup 7 3 Testing out your new residue 9 4 The CHARMM Force Field 12 5 Developing Topology and Parameter Files 13 5.1 An Introduction to a CHARMM Topology File . 13 5.2 An Introduction to a CHARMM Parameter File . 16 5.3 Assigning Initial Values for Unknown Parameters . 18 5.4 A Closer Look at Dihedral Parameters . 18 6 Parameter generation using SPARTAN (Optional) 20 7 Minimization with new parameters 32 CONTENTS 3 Introduction Molecular dynamics (MD) simulations are a powerful scientific tool used to study a wide variety of systems in atomic detail. From a standard protein simulation, to the use of steered molecular dynamics (SMD), to modelling DNA-protein interactions, there are many useful applications. With the advent of massively parallel simulation programs such as NAMD2, the limits of computational anal- ysis are being pushed even further. Inevitably there comes a time in any molecular modelling scientist’s career when the need to simulate an entirely new molecule or ligand arises. The tech- nique of determining new force field parameters to describe these novel system components therefore becomes an invaluable skill. Determining the correct sys- tem parameters to use in conjunction with the chosen force field is only one important aspect of the process.
    [Show full text]
  • D:\Doc\Workshops\2005 Molecular Modeling\Notebook Pages\Software Comparison\Summary.Wpd
    CAChe BioRad Spartan GAMESS Chem3D PC Model HyperChem acd/ChemSketch GaussView/Gaussian WIN TTTT T T T T T mac T T T (T) T T linux/unix U LU LU L LU Methods molecular mechanics MM2/MM3/MM+/etc. T T T T T Amber T T T other TT T T T T semi-empirical AM1/PM3/etc. T T T T T (T) T Extended Hückel T T T T ZINDO T T T ab initio HF * * T T T * T dft T * T T T * T MP2/MP4/G1/G2/CBS-?/etc. * * T T T * T Features various molecular properties T T T T T T T T T conformer searching T T T T T crystals T T T data base T T T developer kit and scripting T T T T molecular dynamics T T T T molecular interactions T T T T movies/animations T T T T T naming software T nmr T T T T T polymers T T T T proteins and biomolecules T T T T T QSAR T T T T scientific graphical objects T T spectral and thermodynamic T T T T T T T T transition and excited state T T T T T web plugin T T Input 2D editor T T T T T 3D editor T T ** T T text conversion editor T protein/sequence editor T T T T various file formats T T T T T T T T Output various renderings T T T T ** T T T T various file formats T T T T ** T T T animation T T T T T graphs T T spreadsheet T T T * GAMESS and/or GAUSSIAN interface ** Text only.
    [Show full text]
  • Development and Application of a Computational Platform for Complex Molecular Design Jaime Rodríguez-Guerra Pedregal
    ADVERTIMENT. Lʼaccés als continguts dʼaquesta tesi queda condicionat a lʼacceptació de les condicions dʼús establertes per la següent llicència Creative Commons: http://cat.creativecommons.org/?page_id=184 ADVERTENCIA. El acceso a los contenidos de esta tesis queda condicionado a la aceptación de las condiciones de uso establecidas por la siguiente licencia Creative Commons: http://es.creativecommons.org/blog/licencias/ WARNING. The access to the contents of this doctoral thesis it is limited to the acceptance of the use conditions set by the following Creative Commons license: https://creativecommons.org/licenses/?lang=en Development and Application of a Computational Platform for Complex Molecular Design a dissertation submitted by Jaime Rodríguez-Guerra Pedregal & directed by Prof. Dr. Jean-Didier Maréchal in fulfillment of the requirements for the degree of Doctor of Biotechnology Tutor: Prof. Dr. Jordi Joan Cairó Badillo Department of Chemical, Biological and Environmental Engineering Universitat Autònoma de Barcelona July 2018 Development and Application of a Computational Platform for Complex Molecular Design a dissertation submitted by & recommended for acceptance by advisor Jaime Rodríguez-Guerra Pedregal Prof. Dr. Jean-Didier Maréchal Tutor: Prof. Dr. Jordi Joan Cairó Badillo Department of Chemical, Biological and Environmental Engineering Universitat Autònoma de Barcelona July 2018 ©2018 – Jaime Rodríguez-Guerra Pedregal Licensed as Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs In the beginning, there was nothing. And God said «Let there be light». And there was light. There was still nothing, but you could see it a lot better. —WoodyAllen. Development and Application of a Computational Platform for Complex Molecular Design by Jaime Rodríguez-Guerra Pedregal Abstract In this dissertation, a series of novel computational modeling tools is reported.
    [Show full text]
  • Jaguar 5.5 User Manual Copyright © 2003 Schrödinger, L.L.C
    Jaguar 5.5 User Manual Copyright © 2003 Schrödinger, L.L.C. All rights reserved. Schrödinger, FirstDiscovery, Glide, Impact, Jaguar, Liaison, LigPrep, Maestro, Prime, QSite, and QikProp are trademarks of Schrödinger, L.L.C. MacroModel is a registered trademark of Schrödinger, L.L.C. To the maximum extent permitted by applicable law, this publication is provided “as is” without warranty of any kind. This publication may contain trademarks of other companies. October 2003 Contents Chapter 1: Introduction.......................................................................................1 1.1 Conventions Used in This Manual.......................................................................2 1.2 Citing Jaguar in Publications ...............................................................................3 Chapter 2: The Maestro Graphical User Interface...........................................5 2.1 Starting Maestro...................................................................................................5 2.2 The Maestro Main Window .................................................................................7 2.3 Maestro Projects ..................................................................................................7 2.4 Building a Structure.............................................................................................9 2.5 Atom Selection ..................................................................................................10 2.6 Toolbar Controls ................................................................................................11
    [Show full text]