CORINA V3.6 Program Manual
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CORINA Classic Program Manual
CORINA Classic Generation of Three-Dimensional Molecular Models Version 4.4.0 Program Description Molecular Networks GmbH September 2021 www.mn-am.com Molecular Networks GmbH Altamira LLC Neumeyerstraße 28 470 W Broad St, Unit #5007 90411 Nuremberg Columbus, OH 43215 Germany USA mn-am.com This document is copyright © 1998-2021 by Molecular Networks GmbH Computerchemie and Altamira LLC. All rights reserved. Except as permitted under the terms of the Software Licensing Agreement of Molecular Networks GmbH Computerchemie, no part of this publication may be reproduced or distributed in any form or by any means or stored in a database retrieval system without the prior written permission of Molecular Networks GmbH or Altamira LLC. The software described in this document is furnished under a license and may be used and copied only in accordance with the terms of such license. (Document version: 4.4.0-2021-09-30) Content Content 1 Introducing CORINA Classic 1 1.1 Objective of CORINA Classic 1 1.2 CORINA Classic in Brief 1 2 Release Notes 3 2.1 CORINA (Full Version) 3 2.2 CORINA_F (Restricted FlexX Interface Version) 25 3 Getting Started with CORINA Classic 26 4 Using CORINA Classic 29 4.1 Synopsis 29 4.2 Options 29 5 Use Cases of CORINA Classic 60 6 Supported File Formats and Interfaces 64 6.1 V2000 Structure Data File (SD) and Reaction Data File (RD) 64 6.2 V3000 Structure Data File (SD) and Reaction Data File (RD) 67 6.3 SMILES Linear Notation 67 6.4 InChI file format 69 6.5 SYBYL File Formats 70 6.6 Brookhaven Protein Data Bank Format (PDB) -
Amber 2021 Reference Manual (Covers Amber20 and Ambertools21)
Amber 2021 Reference Manual (Covers Amber20 and AmberTools21) Amber 2021 Reference Manual (Covers Amber20 and AmberTools21) Principal contributors to the current codes: David A. Case (Rutgers) Robert E. Duke (UNT) Ross C. Walker (UC San Diego, GSK) Nikolai R. Skrynnikov (Purdue, SPbU) Thomas E. Cheatham III (Utah) Oleg Mikhailovskii (Purdue, SPbU) Carlos Simmerling (Stony Brook) Yi Xue (Tsinghua) Adrian Roitberg (Florida) Sergei A. Izmailov (SPbU) Kenneth M. Merz (Michigan State) Koushik Kasavajhala (Stony Brook) Ray Luo (UC Irvine) Kellon Belfon (Stony Brook) Pengfei Li (Yale, Loyola) Jana Shen (Maryland) Tom Darden (OpenEye) Robert Harris (Maryland) Celeste Sagui (NCSU) Alexey Onufriev (Virginia Tech) Feng Pan (FSU) Saeed Izadi (Virginia Tech, Genentech) Junmei Wang (Pitt) Xiongwu Wu (NIH) Daniel R. Roe (NIH) Holger Gohlke (Düsseldorf/FZ Jülich) Scott LeGrand (NVIDIA) Stephan Schott-Verdugo (FZ Jülich) Jason Swails (Lutron) Ruxi Qi (UC Irvine) Andreas W. Götz (UC San Diego) Haixin Wei (UC Irvine) Jamie Smith (USC) Shiji Zhao (UC Irvine) David Cerutti (Rutgers) Edward King (UC Irvine) Taisung Lee (Rutgers) George Giambasu (Rutgers) Darrin York (Rutgers) Jian Liu (Peking Univ.) Tyler Luchko (CSU Northridge) Hai Nguyen (Rutgers) Viet Man (Pitt) Scott R. Brozell (Rutgers) Vinícius Wilian D. Cruzeiro (UC San Diego) Andriy Kovalenko (NINT) Gérald Monard (U. Lorraine) Mike Gilson (UC San Diego) Yinglong Miao (Kansas) Ido Ben-Shalom (UC San Diego) Jinan Wang (Kansas) Tom Kurtzman (CUNY) Romain M. Wolf (Bangkok, Thailand) Sergio Pantano (Inst. Pasteur, Uruguay) Charles Lin (Silicon Therapeutics) Matias Machado (Inst. Pasteur, Uruguay) G. Andrés Cisneros (UNT) H. Metin Aktulga (Michigan State) Ali Rahnamoun (Michigan State) Mehmet Cagri Kaymak (Michigan State) Chi Jin (Michigan State) Kurt A. -
Manual on Field Recording Techniques and Protocols for All Taxa Biodiversity Inventories (Atbis), Part 1
Manual on eld recording techniques and protocols for All Taxa Biodiversity Inventories and Monitoring Edited by: J. Eymann, J. Degreef, Ch. Häuser, J.C. Monje, Y. Samyn and D. VandenSpiegel Volume 8, part 1 (2010) i Editors Yves Samyn - Zoology (non African) Belgian Focal Point to the Global Taxonomy Initiative Royal Belgian Institute of Natural Sciences Rue Vautier 29, B-1000 Brussels, Belgium [email protected] Didier VandenSpiegel - Zoology (African) Department of African Zoology Royal Museum for Central Africa Chaussée de Louvain 13, B-3080 Tervuren, Belgium [email protected] Jérôme Degreef - Botany Belgian Focal Point for the Global Strategy for Plant Conservation National Botanic Garden of Belgium Domaine de Bouchout, B-1860 Meise, Belgium [email protected] Instructions to authors http://www.abctaxa.be ISSN 1784-1283 (hard copy) ISSN 1784-1291 (on-line pdf) D/2010/0339/3 ii Manual on field recording techniques and protocols for All Taxa Biodiversity Inventories (ATBIs), part 1 Edited by Jutta Eymann Staatliches Museum für Naturkunde Stuttgart Rosenstein 1, 70191 Stuttgart, Germany Email: [email protected] Jérôme Degreef National Botanic Garden of Belgium Domaine de Bouchout, B-1860 Meise, Belgium Email: [email protected] ChristophL. Häuser Museumfür Naturkunde Invalidenstr. 43, 10115 Berlin, Germany Email: [email protected] Juan Carlos Monje Staatliches Museum für Naturkunde Stuttgart Rosenstein 1, 70191 Stuttgart, Germany Email: [email protected] Yves Samyn Royal Belgian Institute of Natural Sciences Vautierstraat 29, B-1000 Brussels, Belgium Email: [email protected] Didier VandenSpiegel Royal Museum for Central Africa Chaussée de Louvain 13, B-3080 Tervuren, Belgium Email: [email protected] Cover illustration: Arachnoscelis sp. -
Protein NMR Techniques Protein NMR Techniques
TMTM METHODS IN MOLECULAR BIOLOGYBIOLOGY Volume 278 ProteinProtein NMRNMR TechniquesTechniques SSECONDECOND EDITIONDITION EditedEdited byby A.A. KristinaKristina DowningDowning 17 Automated NMR Structure Calculation With CYANA Peter Güntert Summary This chapter gives an introduction to automated nuclear magnetic resonance (NMR) structure calculation with the program CYANA. Given a sufficiently complete list of assigned chemical shifts and one or several lists of cross-peak positions and columes from two-, three-, or four- dimensional nuclear Overhauser effect spectroscopy (NOESY) spectra, the assignment of the NOESY cross-peaks and the three-dimensional structure of the protein in solution can be calcu- lated automatically with CYANA. Key Words: Protein structure; NMR structure determination; conformational constraints; automated structure determination; automated assignment; NOESY assignment; CYANA program; network anchoring; constraint combination; torsion angle dynamics. 1. Introduction Until recently, nuclear magnetic resonance (NMR) protein structure deter- mination has remained a laborious undertaking that occupied a trained spectro- scopist over several months for each new protein structure. It was recognized that many of the time-consuming interactive steps carried out by an expert during the process of spectral analysis could be accomplished by automated, computational approaches (1). Today, automated methods for NMR structure determination are playing a more and more prominent role and are superseding the conventional manual approaches to solving three-dimensional (3D) protein structures in solution. In de novo 3D structure determinations of proteins in solution by NMR spectroscopy, the key conformational data are upper distance limits derived from nuclear Overhauser effects (NOEs) (2–4). To extract distance constraints from a nuclear Overhauser effect spectroscopy (NOESY) spectrum, its cross- peaks have to be assigned—that is, the pairs of interacting hydrogen atoms have From: Methods in Molecular Biology, vol.