A Molecular Modeling Approach to Identify Potential
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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 -
Homology Modeling and Analysis of Structure Predictions of the Bovine Rhinitis B Virus RNA Dependent RNA Polymerase (Rdrp)
Int. J. Mol. Sci. 2012, 13, 8998-9013; doi:10.3390/ijms13078998 OPEN ACCESS International Journal of Molecular Sciences ISSN 1422-0067 www.mdpi.com/journal/ijms Article Homology Modeling and Analysis of Structure Predictions of the Bovine Rhinitis B Virus RNA Dependent RNA Polymerase (RdRp) Devendra K. Rai and Elizabeth Rieder * Foreign Animal Disease Research Unit, United States Department of Agriculture, Agricultural Research Service, Plum Island Animal Disease Center, Greenport, NY 11944, USA; E-Mail: [email protected] * Author to whom correspondence should be addressed; E-Mail: [email protected]; Tel.: +1-631-323-3177; Fax: +1-631-323-3006. Received: 3 May 2012; in revised form: 3 July 2012 / Accepted: 11 July 2012 / Published: 19 July 2012 Abstract: Bovine Rhinitis B Virus (BRBV) is a picornavirus responsible for mild respiratory infection of cattle. It is probably the least characterized among the aphthoviruses. BRBV is the closest relative known to Foot and Mouth Disease virus (FMDV) with a ~43% identical polyprotein sequence and as much as 67% identical sequence for the RNA dependent RNA polymerase (RdRp), which is also known as 3D polymerase (3Dpol). In the present study we carried out phylogenetic analysis, structure based sequence alignment and prediction of three-dimensional structure of BRBV 3Dpol using a combination of different computational tools. Model structures of BRBV 3Dpol were verified for their stereochemical quality and accuracy. The BRBV 3Dpol structure predicted by SWISS-MODEL exhibited highest scores in terms of stereochemical quality and accuracy, which were in the range of 2Å resolution crystal structures. The active site, nucleic acid binding site and overall structure were observed to be in agreement with the crystal structure of unliganded as well as template/primer (T/P), nucleotide tri-phosphate (NTP) and pyrophosphate (PPi) bound FMDV 3Dpol (PDB, 1U09 and 2E9Z). -
MODELLER 10.0 Manual
MODELLER A Program for Protein Structure Modeling Release 10.0, r12005 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/ 2021/01/25 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 -
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. -
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 -
Molecular Docking Studies of a Cyclic Octapeptide-Cyclosaplin from Sandalwood
Preprints (www.preprints.org) | NOT PEER-REVIEWED | Posted: 11 June 2019 doi:10.20944/preprints201906.0091.v1 Peer-reviewed version available at Biomolecules 2019, 9; doi:10.3390/biom9040123 Molecular Docking Studies of a Cyclic Octapeptide-Cyclosaplin from Sandalwood Abheepsa Mishra1, 2,* and Satyahari Dey1 1Plant Biotechnology Laboratory, Department of Biotechnology, Indian Institute of Technology Kharagpur, Kharagpur-721302, West Bengal, India; [email protected] (A.M.); [email protected] (S.D.) 2Department of Internal Medicine, The University of Texas Southwestern Medical Center, 5323 Harry Hines Blvd, Dallas, TX 75390, USA *Correspondence: [email protected]; Tel.:+1(518) 881-9196 Abstract Natural products from plants such as, chemopreventive agents attract huge attention because of their low toxicity and high specificity. The rational drug design in combination with structure based modeling and rapid screening methods offer significant potential for identifying and developing lead anticancer molecules. Thus, the molecular docking method plays an important role in screening a large set of molecules based on their free binding energies and proposes structural hypotheses of how the molecules can inhibit the target. Several peptide based therapeutics have been developed to combat several health disorders including cancers, metabolic disorders, heart-related, and infectious diseases. Despite the discovery of hundreds of such therapeutic peptides however, only few peptide-based drugs have made it to the market. Moreover, until date the activities of cyclic peptides towards molecular targets such as protein kinases, proteases, and apoptosis related proteins have never been explored. In this study we explore the in silico kinase and protease inhibitor potentials of cyclosaplin as well as study the interactions of cyclosaplin with other cancer-related proteins. -
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. -
Dnpro: a Deep Learning Network Approach to Predicting Protein Stability Changes Induced by Single-Site Mutations Xiao Zhou and Jianlin Cheng*
DNpro: A Deep Learning Network Approach to Predicting Protein Stability Changes Induced by Single-Site Mutations Xiao Zhou and Jianlin Cheng* Computer Science Department University of Missouri Columbia, MO 65211, USA *Corresponding author: [email protected] a function from the data to map the input information Abstract—A single amino acid mutation can have a significant regarding a protein and its mutation to the energy change impact on the stability of protein structure. Thus, the prediction of without the need of approximating the physics underlying protein stability change induced by single site mutations is critical mutation stability. This data-driven formulation of the and useful for studying protein function and structure. Here, we problem makes it possible to apply a large array of machine presented a new deep learning network with the dropout technique learning methods to tackle the problem. Therefore, a wide for predicting protein stability changes upon single amino acid range of machine learning methods has been applied to the substitution. While using only protein sequence as input, the overall same problem. E Capriotti et al., 2004 [2] presented a neural prediction accuracy of the method on a standard benchmark is >85%, network for predicting protein thermodynamic stability with which is higher than existing sequence-based methods and is respect to native structure; J Cheng et al., 2006 [1] developed comparable to the methods that use not only protein sequence but also tertiary structure, pH value and temperature. The results MUpro, a support vector machine with radial basis kernel to demonstrate that deep learning is a promising technique for protein improve mutation stability prediction; iPTREE based on C4.5 stability prediction. -
New Computational Approaches for Investigating the Impact of Mutations on the Transglucosylation Activity of Sucrose Phosphorylase Enzyme
Thesis submitted to the Université de la Réunion for award of Doctor of Philosophy in Sciences speciality in bioinformatics New computational approaches for investigating the impact of mutations on the transglucosylation activity of sucrose phosphorylase enzyme Mahesh VELUSAMY Thesis to be presented on 18th December 2018 in front of the jury composed of Mme Isabelle ANDRE, Directeur de Recherche CNRS, INSA de TOULOUSE, Rapporteur M. Manuel DAUCHEZ, Professeur, Université de Reims Champagne Ardennes, Rapporteur M. Richard DANIELLOU, Professeur, Université d'Orléans, Examinateur M. Yves-Henri SANEJOUAND, Directeur de Recherche CNRS, Université de Nantes, Examinateur Mme Irène MAFFUCCI, Maître de Conférences, Université de Technologie de Compiègne, Examinateur Mme Corinne MIRAL, Maître de Conférences HDR, Université de Nantes, Examinateur M. Frédéric CADET, Professeur, Université de La Réunion, Co-directeur de thèse M. Bernard OFFMANN, Professeur, Université de Nantes, Directeur de thèse ெ்்ந்ி ிைு்ூுத் ெ்யாம் ெ்த உதி்ு ையகு் ானகு் ஆ்ற் அிு. -ிு்ு் ுதி் அ்ப் ுுக், எனு த்ைத ேுாி, தா் க்ூி, அ்ண் ு்ு்ுமா், த்ைக பா்பா, ஆ்தா ுு்மா், ீனா, அ்ண் ்ுக், ெபிய்பா, ெபிய்மா ம்ு் உுுைணயா் இு்த அைண்ு ந்ப்கு்ு் எனு மனமா்்த ந்ி. இ்த ஆ்ி்ைக ுுைம அை3த்ு ுுுத்்காரண், எனு ஆ்ி்ைக இய்ுன் ேபராிிய் ெப்னா்் ஆஃ்ேம். ப்ேு துண்கி் நா் மனதாு், ெபாுளாதார அளிு் க்3்ி் இு்தேபாு, என்ு இ்ெனாு த்ைதயாகே இு்ு எ்ைன பா்்ு்ெகா்3ா். ுி்பாக, எனு ூ்றா் ஆ்ு இுிி், அ்்ு எ்ளோ தி்ப்3 க3ைமக் ம்ு் ிர்ிைனக் இு்தாு், அைத்ெபாு்பு்தாு, அ் என்ு ெ்த ெபாுளாதார உதி, ப்கைB்கழக பிு ம்ு் இதர ி்ாக ்ப்த்ப்3 உதிகு்ு எ்ன ைகமா்ு ெகாு்தாு் ஈ3ாகாு. -
University of Huddersfield Repository
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by University of Huddersfield Repository University of Huddersfield Repository Liang, Shuo, Holmes, Violeta and Kureshi, Ibad Hybrid Computer Cluster with High Flexibility Original Citation Liang, Shuo, Holmes, Violeta and Kureshi, Ibad (2012) Hybrid Computer Cluster with High Flexibility. In: IEEE Cluster 2012, 24-28 September 2012, Beijing, China. This version is available at http://eprints.hud.ac.uk/15840/ The University Repository is a digital collection of the research output of the University, available on Open Access. Copyright and Moral Rights for the items on this site are retained by the individual author and/or other copyright owners. Users may access full items free of charge; copies of full text items generally can be reproduced, displayed or performed and given to third parties in any format or medium for personal research or study, educational or not-for-profit purposes without prior permission or charge, provided: • The authors, title and full bibliographic details is credited in any copy; • A hyperlink and/or URL is included for the original metadata page; and • The content is not changed in any way. For more information, including our policy and submission procedure, please contact the Repository Team at: [email protected]. http://eprints.hud.ac.uk/ Hybrid Computer Cluster with High Flexibility Shuo Liang Dr Violeta Holmes Ibad Kureshi School of Computing and Engineering School of Computing and Engineering School of Computing and Engineering University of Huddersfield University of Huddersfield University of Huddersfield Huddersfield, United Kingdom Huddersfield, United Kingdom Huddersfield, United Kingdom Email: [email protected] Email: [email protected] Email: [email protected] Abstract—In this paper we present a cluster middleware, the others support multi-platform, supplying different user designed to implement a Linux-Windows Hybrid HPC Cluster, interfaces and document support. -
Downloaded From: Usage Rights: Creative Commons: Attribution-Noncommercial-No Deriva- Tive Works 4.0
Simbanegavi, Nyevero Abigail (2014) An integrated computational and ex- perimental approach to designing novel nanodevices. Doctoral thesis (PhD), Manchester Metropolitan University. Downloaded from: https://e-space.mmu.ac.uk/620241/ Usage rights: Creative Commons: Attribution-Noncommercial-No Deriva- tive Works 4.0 Please cite the published version https://e-space.mmu.ac.uk AN INTEGRATED COMPUTATIONAL AND EXPERIMENTAL APPROACH TO DESIGNING NOVEL NANODEVICES N. A. SIMBANEGAVI PhD 2014 AN INTEGRATED COMPUTATIONAL AND EXPERIMENTAL APPROACH TO DESIGNING NOVEL NANODEVICES Nyevero Abigail Simbanegavi A thesis submitted in partial fulfilment of the requirements of Manchester Metropolitan University for the degree of Doctor of Philosophy 2014 School of Science and the Environment Division of Chemistry and Environmental Science Manchester Metropolitan University Abstract Small molecules that can organise themselves through reversible bonds to form new molecular structures have great potential to form self-assembling systems. In this study, C60 has been functionalized with components capable of self-assembling via hydrogen bonds in order to form supramolecular structures. Functionalizing the cage not only enhances the solubility of C60 but also alters its electronic properties. In order to analyse the changes in electronic properties of C60 and those of the new derivatives and self-assembled structures, an integrated computational and experimental approach has been used. DNA bases were among the components chosen for functionalizing C60 since these structures are the best example for self-assembly in nature. Experimental routes for novel C60 derivatives functionalised with thymine, adenine, cytosine and guanine have been explored using the Prato reaction. A number of challenges in synthesizing the aldehyde analogues of the DNA bases have been identified, and a number of different solutions have been tested. -
Graduate Brochure 2014 Draft.Pub
THETHE UNIVERSITYUNIVERSITY OFOF MISSOURIMISSOURI——ST.ST. LOUISLOUIS 315 Benton Hall (MC 27) One University Blvd. St. Louis, MO 63121-4400 http://www.umsl.edu/chemistry/ DepartmentDepartment ofof ChemistryChemistry && BiochemistryBiochemistry Phone: (314) 516-5311 Fax: (314) 516-5342 ST.LOUIS The St. Louis metropolitan region, located around the ence Center has many educational interactive exhibits confluence of the Missouri and Mississippi Rivers, has including an Omnimax theatre. And finally the St. Louis evolved through the centuries from the homes of ancient Zoo, home to more than 18,000 exotic animals, many of Native American civilizations to major fur trading cen- them rare and endangered, and set in the rolling hills, ter to the "Gateway to the West," marked by lasting lakes and glades of Forest Park, is a great place to visit. French, Spanish and African influences. Today the area is a town with hospitable people rooted in a myriad of Activities and attractions are many, and St. Louis has regional, ethnic, and cultural traditions reflective of our a great variety of night life choices. Blues clubs and complex world, well supported by easy access to parks, restaurants are tucked away in the red brick buildings of educational centers, sports venues, museums, and histor- the historic Soulard neighborhood, while Dixieland and ic sites. blues dinner cruises are available through the port of St. Louis. Clubs and restaurants are alive until early morn- Great ethnic and classic neighborhoods characterize ing hours in the converted warehouses of the Landing, the region. A cross-section of the area can provide ex- north of the Arch, and along the newly-developed "loft" amples of wonderful Victorian architecture, museum, neighborhood of Washington Avenue.