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Rdock Reference Guide Rdock Development Team August 27, 2015 Contents
rDock Reference Guide rDock Development Team August 27, 2015 Contents 1 Preface 4 2 Acknowledgements 4 3 Introduction 4 4 Configuration 4 5 Cavity mapping 6 5.1 Two sphere method . 6 5.2 Reference ligand method . 8 6 Scoring function reference 11 6.1 Component Scoring Functions . 11 6.1.1 van der Waals potential . 11 6.1.2 Empirical attractive and repulsive polar potentials . 11 6.1.3 Solvation potential . 12 6.1.4 Dihedral potential . 13 6.2 Intermolecular scoring functions under evaluation . 13 6.2.1 Training sets . 13 6.2.2 Scoring Functions Design . 13 6.2.3 Scoring Functions Validation . 14 6.3 Code Implementation . 15 7 Docking protocol 17 7.1 Protocol Summary . 17 7.1.1 Pose Generation . 17 7.1.2 Genetic Algorithm . 17 7.1.3 Monte Carlo . 17 7.1.4 Simplex . 18 7.2 Code Implementation . 18 7.3 Standard rDock docking protocol (dock.prm) . 18 8 System definition file reference 22 8.1 Receptor definition . 22 8.2 Ligand definition . 23 8.3 Solvent definition . 24 8.4 Cavity mapping . 25 8.5 Cavity restraint . 27 8.6 Pharmacophore restraints . 27 8.7 NMR restraints . 28 8.8 Example system definition files . 28 9 Molecular files and atoms typing 30 9.1 Atomic properties. 30 9.2 Difference between formal charge and distributed formal charge . 30 9.3 Parsing a MOL2 file . 31 9.4 Parsing an SD file . 31 9.5 Assigning distributed formal charges to the receptor . 31 10 rDock file formats 32 10.1 .prm file format . -
Evaluation of Protein-Ligand Docking Methods on Peptide-Ligand
bioRxiv preprint doi: https://doi.org/10.1101/212514; this version posted November 1, 2017. The copyright holder for this preprint (which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity.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. Evaluation of protein-ligand docking methods on peptide-ligand complexes for docking small ligands to peptides Sandeep Singh1#, Hemant Kumar Srivastava1#, Gaurav Kishor1#, Harinder Singh1, Piyush Agrawal1 and G.P.S. Raghava1,2* 1CSIR-Institute of Microbial Technology, Sector 39A, Chandigarh, India. 2Indraprastha Institute of Information Technology, Okhla Phase III, Delhi India #Authors Contributed Equally Emails of Authors: SS: [email protected] HKS: [email protected] GK: [email protected] HS: [email protected] PA: [email protected] * Corresponding author Professor of Center for Computation Biology, Indraprastha Institute of Information Technology (IIIT Delhi), Okhla Phase III, New Delhi-110020, India Phone: +91-172-26907444 Fax: +91-172-26907410 E-mail: [email protected] Running Title: Benchmarking of docking methods 1 bioRxiv preprint doi: https://doi.org/10.1101/212514; this version posted November 1, 2017. 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. ABSTRACT In the past, many benchmarking studies have been performed on protein-protein and protein-ligand docking however there is no study on peptide-ligand docking. -
Ftitr Tutirgr Held Thuraday
San Jon, Cal. fhit 31nsr Pasffie Game Subs Rate, $1.00 Rally to be Per Quarter ftitr Tutirgr Held Thuraday 2 2 X! I . J1,1-1 11.1FURNiA, WED \ I --1).\1., (2LI OBER II, 19i; r_12 Attractive Program for NOTICE Concert Series Tickets Placed on In order to choose a yell leader Pre-game Rally Planned; for the coming year, an election Sale Today, Committee Announces; will be held in front of the Morris Dailey auditorium all dily today, Parade Will Climax Fun Wednesday, October II. Presi- Naom Blinder, Violinist, Here Nov. 7 dent Covello asks every tudent Wildest Event of Evening Will to cooperate by voting. The Car.- Probably Be Parade Thru Leads Rally Famous Violinist To Appear Concert Series Tickets Sale didate re Howard Burns and Enthusiasm Downtown San Jose 7 (,hairman Shown Jim Hamilton. At S. J. State Nov. 'psis By Students Will In Music Program Dud DeGroot and Team - - -- Speeches During Alice Dixon Heads Conimittee Give \ the initial concert in the IO33- +4 Rally In Auditorium E. Higgins Of Music Department _ _ Plans rie, San Jose State music 'rivers will Concert &ries iniee the opportunity to bear Naom di,. ,rantest pre -game rally in the Radio Pep Rally Blinder. famous violinist, N9V. 7. ot San Jose State will be held in The tickets tor 'la Blinder is now concert master of th, series go on sal,- today '. Morris Dailey auditorium thit ir. qa. -peed san Francisco Symphony orchestra, and The!. may also be ! mening at 7:30, according to At Station KQW porch:, . -
What Is Discovery Studio?
Discovery Studio 2.0 Accelrys Life Science Tool 林進中 分子視算 What is Discovery Studio? • Discovery Studio is a complete modelling and simulations environment for Life Science researchers – Interactive, visual and integrated software – Consistent, contemporary user interface for added ease-of-use – Tools for visualisation, protein modeling, simulations, docking, pharmacophore analysis, QSAR and library design – Access computational servers and tools, share data, monitor jobs, and prepare and communicate their project progress – Windows and Linux clients and servers Accelrys Discovery Studio Application Discovery Studio Pipeline ISV Materials Discovery Accord WeWebbPPortort Pipeline ISV Materials Discovery Accord (web Studio Studio (web PilotPilot ClientClient Studio Studio ClientsClients access) (Pro or Lite ) (e.g., Client Client access) (Pro or Lite ) (e.g., Client Client Spotfire) Spotfire) Client Integration Layer SS c c i iT T e e g g i ic c P P l la a t t f f o o r r m m Tool Integration Layer Data Access Layer Cmd-Line Isentris Chemistry Biology Materials Accord Accord IDBS Oracle ISIS Reporting Statistics ISV Tools Databases Pipeline Pilot - Data Processing and Integration • Integration of data from multiple disparate data sources • Integration of disparate applications – Third party vendors and in- house developed codes under the same environment Pipeline Pilot - Data Processing and Integration • Automated execution of routine processes • Standardised data management • Capture of workflows and deployment of best practice Interoperability -
HP Dock Solutions
QuickSpecs HP Dock Solutions Introduction HP DOCK SOLUTIONS Models Docking Stations HP USB-C Dock G5 5TW10AA HP USB-C/A Universal Dock G2 5TW13AA HP 4.5 mm and USB-C Dock Adapter G2 6LX61AA HP Thunderbolt™ Dock 120W G2 2UK37AA HP Thunderbolt™ Dock 230W G2 2UK38AA HP Thunderbolt™ Dock G2 w/ Combo Cable 3TR87AA HP Thunderbolt™ Dock 120W G2 w/Audio 3YE87AA HP Thunderbolt™ Dock G2 Audio Module 3AQ21AA HP USB-C® Dock G4 (discontinued) 3FF69AA HP USB-C® Universal Dock w/4.5mm Adapter (discontinued) 2UF95AA HP USB-C® Universal Dock (discontinued) 1MK33AA HP USB-C® Mini Dock 1PM64AA HP USB Travel Dock (discontinued) T0K30AA HP UltraSlim Docking Station D9Y32AA Not all configuration components are available in all regions/countries. Page 1 c04168358 – DA 13639 – Worldwide – Version 15– August 5, 2021 QuickSpecs HP Dock Solutions Introduction Introduction It is common practice to use more than one dock with your computer. There are users who have a dock at the office, carry a travel hub or dock for use while traveling and also have a dock at home. There are many reasons to use a lock with your computer and your dock. The currently shipping docks: HP USB-C Dock G5 5TW10AA HP USB-C/A Universal Dock G2 5TW13AA HP Thunderbolt™ Dock 120W G2 2UK37AA HP Thunderbolt™ Dock 230W G2 2UK38AA HP Thunderbolt™ Dock G2 w/ Combo Cable 3TR87AA HP Thunderbolt™ Dock 120W G2 w/Audio 3YE87AA are compatible with the following HP locks: HP Dual Head Keyed Cable Lock T1A64AA HP Keyed Cable Lock 10mm T1A62AA HP Combination Lock T0Y15AA Not all configuration components are available in all regions/countries. -
Getting Started with Rdock Dr
Getting Started with rDock Dr. David Morley Getting Started with rDock Dr. David Morley Copyright © 2006 Vernalis Table of Contents Overview ............................................................................................................ vi 1. Prerequisites ..................................................................................................... 1 2. Unpacking the distribution files ............................................................................ 2 3. Building rDock .................................................................................................. 4 4. Running a short validation experiment ................................................................... 6 iv List of Tables 1.1. Required packages for building and running rDock ................................................ 1 2.1. rDock distribution files ..................................................................................... 2 3.1. Standard tmake build targets provided ............................................................... 4 4.1. Complexes included in the cpu_benchmark experiment ...................................... 6 4.2. rDock score components output as SD data fields .................................................. 7 v Overview rDock is a high-throughput molecular docking platform for protein and RNA targets. Under devel- opment at Vernalis (formerly RiboTargets) since 1998, the software (formerly known as RiboDock1), scoring functions, and search protocols have been refined continuously to meet the de- -
Open Source Molecular Modeling
Accepted Manuscript Title: Open Source Molecular Modeling Author: Somayeh Pirhadi Jocelyn Sunseri David Ryan Koes PII: S1093-3263(16)30118-8 DOI: http://dx.doi.org/doi:10.1016/j.jmgm.2016.07.008 Reference: JMG 6730 To appear in: Journal of Molecular Graphics and Modelling Received date: 4-5-2016 Accepted date: 25-7-2016 Please cite this article as: Somayeh Pirhadi, Jocelyn Sunseri, David Ryan Koes, Open Source Molecular Modeling, <![CDATA[Journal of Molecular Graphics and Modelling]]> (2016), http://dx.doi.org/10.1016/j.jmgm.2016.07.008 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain. Open Source Molecular Modeling Somayeh Pirhadia, Jocelyn Sunseria, David Ryan Koesa,∗ aDepartment of Computational and Systems Biology, University of Pittsburgh Abstract The success of molecular modeling and computational chemistry efforts are, by definition, de- pendent on quality software applications. Open source software development provides many advantages to users of modeling applications, not the least of which is that the software is free and completely extendable. In this review we categorize, enumerate, and describe available open source software packages for molecular modeling and computational chemistry. 1. Introduction What is Open Source? Free and open source software (FOSS) is software that is both considered \free software," as defined by the Free Software Foundation (http://fsf.org) and \open source," as defined by the Open Source Initiative (http://opensource.org). -
Protein-Protein Docking and Molecular Dynamics Simulations Elucidated Binding Modes of FUBI-P62 UBA Complex
Chongruchiroj et al., 2015 Original Article TJPS The Thai Journal of Pharmaceutical Sciences 39 (4), October - December 2015: 171-179 Protein-Protein Docking and Molecular Dynamics Simulations Elucidated Binding Modes of FUBI-p62 UBA Complex Sumet Chongruchiroj1, Panida Kongsawadworakul 2, Veena Nukoolkarn3, Montree Jaturanpinyo4, 5 6 1,* Wichit Nosoong-noen , Jiraporn Chingunpitak , Jaturong Pratuangdejkul 1Department of Microbiology, Faculty of Pharmacy, Mahidol University, Bangkok 10400, Thailand 2Department of Plant Science, Faculty of Science, Mahidol University, Bangkok 10400, Thailand 3Department of Pharmacognosy, Faculty of Pharmacy, Mahidol University, Bangkok 10400, Thailand 4Department of Manufacturing Pharmacy, Faculty of Pharmacy, Mahidol University, Bangkok 10400, Thailand 5Department of Pharmacy, Faculty of Pharmacy, Mahidol University, Bangkok 10400, Thailand 6School of Pharmacy, Walailak University, Nakhon Si Thammarat 80161, Thailand Abstract The cytosolic Fau protein, a precursor of antimicrobial peptide, composes of ubiquitin-like domain FUBI at N- terminus and ribosomal protein rpS30 at C-terminus. Fau has been important in killing of intracellular Mycobacterium tuberculosis infection through autophagy-targeting p62 mechanism. The p62 adapter protein delivered microbicidal protein rpS30 to autolysosome where it was converted into antimicrobial peptides capable of killing M. tuberculosis in mycobacterial phagosome. Recently, direct interaction of FUBI and p62 UBA domain has been established using immunoprecipitation. In the absence of experimental complex structure of FUBI and p62 UBA, understanding of binding interaction could be extensively characterized using molecular modeling techniques. The aim of this study was to elucidate the binding mode of interaction between FUBI and p62 UBA. Based on the conserved hydrophobic binding regions of FUBI and p62 UBA domain, 334 docked poses were predicted using the ZDOCK and RDOCK protein-protein docking algorithms. -
Molecular Modeling in Drug Design
molecules Molecular Modeling in Drug Design Edited by Rebecca C. Wade and Outi M. H. Salo-Ahen Printed Edition of the Special Issue Published in Molecules www.mdpi.com/journal/molecules Molecular Modeling in Drug Design Molecular Modeling in Drug Design Special Issue Editors Rebecca C. Wade Outi M. H. Salo-Ahen MDPI • Basel • Beijing • Wuhan • Barcelona • Belgrade Special Issue Editors Rebecca C. Wade Outi M. H. Salo-Ahen HITS gGmbH/Heidelberg University Abo˚ Akademi University Germany Finland Editorial Office MDPI St. Alban-Anlage 66 4052 Basel, Switzerland This is a reprint of articles from the Special Issue published online in the open access journal Molecules (ISSN 1420-3049) from 2018 to 2019 (available at: https://www.mdpi.com/journal/molecules/ special issues/MMDD) For citation purposes, cite each article independently as indicated on the article page online and as indicated below: LastName, A.A.; LastName, B.B.; LastName, C.C. Article Title. Journal Name Year, Article Number, Page Range. ISBN 978-3-03897-614-1 (Pbk) ISBN 978-3-03897-615-8 (PDF) c 2019 by the authors. Articles in this book are Open Access and distributed under the Creative Commons Attribution (CC BY) license, which allows users to download, copy and build upon published articles, as long as the author and publisher are properly credited, which ensures maximum dissemination and a wider impact of our publications. The book as a whole is distributed by MDPI under the terms and conditions of the Creative Commons license CC BY-NC-ND. Contents About the Special Issue Editors ..................................... vii Preface to ”Molecular Modeling in Drug Design” .......................... -
Computational Modeling of Rna-Small Molecule and Rna-Protein Interactions
The Texas Medical Center Library DigitalCommons@TMC The University of Texas MD Anderson Cancer Center UTHealth Graduate School of The University of Texas MD Anderson Cancer Biomedical Sciences Dissertations and Theses Center UTHealth Graduate School of (Open Access) Biomedical Sciences 8-2015 COMPUTATIONAL MODELING OF RNA-SMALL MOLECULE AND RNA-PROTEIN INTERACTIONS Lu Chen Follow this and additional works at: https://digitalcommons.library.tmc.edu/utgsbs_dissertations Part of the Bioinformatics Commons, Biophysics Commons, Medicinal-Pharmaceutical Chemistry Commons, Pharmaceutics and Drug Design Commons, Statistical Models Commons, and the Structural Biology Commons Recommended Citation Chen, Lu, "COMPUTATIONAL MODELING OF RNA-SMALL MOLECULE AND RNA-PROTEIN INTERACTIONS" (2015). The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access). 626. https://digitalcommons.library.tmc.edu/utgsbs_dissertations/626 This Dissertation (PhD) is brought to you for free and open access by the The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences at DigitalCommons@TMC. It has been accepted for inclusion in The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access) by an authorized administrator of DigitalCommons@TMC. For more information, please contact [email protected]. Title page COMPUTATIONAL MODELING OF RNA- SMALL MOLECULE AND RNA-PROTEIN INTERACTIONS A DISSERTATION Presented to the Faculty of The University of Texas Health Science Center at Houston and The University of Texas M.D. Anderson Cancer Center Graduate School of Biomedical Sciences In Partial Fulfillment of the Requirements for the Degree of DOCTOR OF PHILOSOPHY by Lu Chen, B.S. -
MOLS 2.0: Software Package for Peptide Modelling and Protein-Ligand Docking
MOLS 2.0: Software Package for Peptide Modelling and Protein-Ligand Docking D. Sam Paul and N. Gautham Centre of Advanced Study in Crystallography and Biophysics, University of Madras, Chennai 600025. India. The final publication is available at Springer via http://dx.doi.org/[10.1007/s00894-016-3106-x] Abstract We have earlier developed an algorithm to perform conformational searches of proteins and peptides, and to perform docking of ligands to protein receptors. In order to identify optimal conformations and docked poses, this algorithm uses mutually orthogonal Latin squares (MOLS) for rationally sampling the vast conformational (or docking) space, and then analyses this relatively small sample using a variant of mean field theory. The conformational search part of the algorithm was programmed as MOLS 1.0. The docking portion of the algorithm, which allows only ‘flexible ligand – rigid receptor’ docking, was programmed as MOLSDOCK. Both are FORTRAN based command-line-only molecular docking computer programs, though a GUI was developed later for MOLS 1.0. Both the conformational search and the ‘rigid receptor’ docking parts of the algorithm have been extensively validated. We have now further enhanced the capabilities of the program by incorporating ‘induced fit’ side-chain receptor flexibility for docking peptide ligands. Benchmarking and extensive testing is now being carried out for the ‘flexible receptor’ portion of the docking. Additionally, to make both the peptide conformational search and docking algorithms (the latter including both ‘flexible ligand – rigid receptor’ and ‘flexible ligand – flexible receptor’ techniques) more accessible to the research community, we have developed MOLS 2.0, which incorporates a new Java- based Graphical User Interface (GUI). -
Dell Docking Station WD19 User Guide
Dell Docking Station WD19 User Guide Regulatory Model: K20A Regulatory Type: K20A001 July 2020 Rev. A02 Notes, cautions, and warnings NOTE: A NOTE indicates important information that helps you make better use of your product. CAUTION: A CAUTION indicates either potential damage to hardware or loss of data and tells you how to avoid the problem. WARNING: A WARNING indicates a potential for property damage, personal injury, or death. © 2019 - 2020 Dell Inc. or its subsidiaries. All rights reserved. Dell, EMC, and other trademarks are trademarks of Dell Inc. or its subsidiaries. Other trademarks may be trademarks of their respective owners. Contents Chapter 1: Introduction................................................................................................................... 4 Chapter 2: Package contents .......................................................................................................... 5 Chapter 3: Hardware requirements...................................................................................................7 Chapter 4: Identifying Parts and Features ........................................................................................ 8 Chapter 5: Important Information................................................................................................... 12 Chapter 6: Quick Setup of Hardware .............................................................................................. 13 Chapter 7: Setup of External Monitors...........................................................................................