MOSES Molecular Structure Encoding System MOSES is an innovative programming platform for handling and processing chemical information. MOSES deals with chemical structures, reactions and data and provides facilities for descriptor calculation, reaction generation, synthesis design, data analysis and database management. An interface to the scripting language Python allows for an easy creation of own applications. MOSES facilitates the management of chemical data for computational chemists and chemoinformaticians. Both chemical structures and chemical reactions are handled on an atomic level. This allows for the calculation of a wide range of descriptors and physicochemical properties, not only of molecules, but also for atoms, bonds, entire reactions or of reaction centers. MOSES provides the full power of Chemoinformatics both in a user-friendly way with graphical applications such as SYLVIA, isoCYP and ADRIANA.Code but also giving the professional chemoinformatician the ability to address and solve his or her own challenges. Key Features Areas of Application Molecular descriptor calculation; basis for ADRIANA.Code Drug design, e.g., lead identification and optimization Atom and bond descriptor calculation, e.g., the original Gasteiger-Marsili charges Property prediction, e.g., ADME/Tox properties or QSAR/QSPR studies Calculation of physicochemical properties, e.g., logP, logS or pKa values Prediction of chemical reactivity and reaction classification Full-, sub-structure and similarity search Reaction generation and assessment Prediction of synthetic accessibility Includes backpropagation, counterpropagation and Kohonen neural networks Analysis of the similarity and diversity of combinatorial libraries Management of chemical data bases based on Oracle™ Simulation of 1H-NMR spectra MOSES Molecular Structure Encoding System MOSES is based on new concepts in molecular structure and reaction representation that follows reality more closely. Thus, MOSES allows for a finer modeling of biological activities, chemical properties and chemical reactions. MOSES represents chemical reactions in a unique network structure that allows the correct representation of complex biological processes. O H2N O HO P OH O OOC NH3 H2O H2N H3N H OOC N NH2 H3N H NH2 H (1) urea cleavage (2) amide attachment O (3) NH2 transfer NH2 N H3N H NH2 O OOC O O P O O H OOC (4) fumarate cleavage COO reactant H3N H NH2 COO OOC H3N H N H N H product COO COO solvent OOC MOSES represents chemical reactions in a unique network structure that allows the correct representation of complex biological processes. Technical Features Support for GUI applications Interface for integration into internal IT environments and workflows based on C++ or Python Read and writes MOL, SDF, RDF, RXN, SMILES and CTX files Graphical output of structures as JPEG and PNG files System Requirements MOSES is available for Linux (32 and 64 bit) and MS Windows (2000, XP) platforms. MOSES features a new representation of organic molecules that correctly represents resonance effects in chemical structures by the notion of electron systems. A well-defined interface for new calculation modules allows the easy extension of MOSES with new molecular descriptors by user-supplied Python modules. Reference "MOSES – an extensive chemoinformatics platform“ http://www.molecular-networks.com/software/moses A. Herwig, „Development of an Integrated Framework for Chemoinformatics Applications“, Dissertation, Universität Erlangen-Nürnberg, 2004. T. Kleinöder, „Prediction of Properties of Organic Compounds – Empirical Methods and Management of Property Data“, Dissertation, Universität Erlangen-Nürnberg, 2005. J. Marusczyk, „From π-Electron Systems to Properties – Calculation of Physicochemical Descriptors Based on a New Structure Representation“, Dissertation, Universität Erlangen-Nürnberg, 2008. Henkestrasse 91 91052 Erlangen Germany Phone: +49-9131-8156-68 Fax: +49-9131-8156-69 [email protected] www.molecular-networks.com Product and company names may be trademarks of their respective owners in the Federal Republic of Germany and other countries. All rights reserved.
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