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      Mordred: a molecular descriptor calculator

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          Abstract

          Molecular descriptors are widely employed to present molecular characteristics in cheminformatics. Various molecular-descriptor-calculation software programs have been developed. However, users of those programs must contend with several issues, including software bugs, insufficient update frequencies, and software licensing constraints. To address these issues, we propose Mordred, a developed descriptor-calculation software application that can calculate more than 1800 two- and three-dimensional descriptors. It is freely available via GitHub. Mordred can be easily installed and used in the command line interface, as a web application, or as a high-flexibility Python package on all major platforms (Windows, Linux, and macOS). Performance benchmark results show that Mordred is at least twice as fast as the well-known PaDEL-Descriptor and it can calculate descriptors for large molecules, which cannot be accomplished by other software. Owing to its good performance, convenience, number of descriptors, and a lax licensing constraint, Mordred is a promising choice of molecular descriptor calculation software that can be utilized for cheminformatics studies, such as those on quantitative structure–property relationships.

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          The online version of this article (10.1186/s13321-018-0258-y) contains supplementary material, which is available to authorized users.

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          KEGG: new perspectives on genomes, pathways, diseases and drugs

          KEGG (http://www.kegg.jp/ or http://www.genome.jp/kegg/) is an encyclopedia of genes and genomes. Assigning functional meanings to genes and genomes both at the molecular and higher levels is the primary objective of the KEGG database project. Molecular-level functions are stored in the KO (KEGG Orthology) database, where each KO is defined as a functional ortholog of genes and proteins. Higher-level functions are represented by networks of molecular interactions, reactions and relations in the forms of KEGG pathway maps, BRITE hierarchies and KEGG modules. In the past the KO database was developed for the purpose of defining nodes of molecular networks, but now the content has been expanded and the quality improved irrespective of whether or not the KOs appear in the three molecular network databases. The newly introduced addendum category of the GENES database is a collection of individual proteins whose functions are experimentally characterized and from which an increasing number of KOs are defined. Furthermore, the DISEASE and DRUG databases have been improved by systematic analysis of drug labels for better integration of diseases and drugs with the KEGG molecular networks. KEGG is moving towards becoming a comprehensive knowledge base for both functional interpretation and practical application of genomic information.
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            The NumPy Array: A Structure for Efficient Numerical Computation

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              Open Babel: An open chemical toolbox

              Background A frequent problem in computational modeling is the interconversion of chemical structures between different formats. While standard interchange formats exist (for example, Chemical Markup Language) and de facto standards have arisen (for example, SMILES format), the need to interconvert formats is a continuing problem due to the multitude of different application areas for chemistry data, differences in the data stored by different formats (0D versus 3D, for example), and competition between software along with a lack of vendor-neutral formats. Results We discuss, for the first time, Open Babel, an open-source chemical toolbox that speaks the many languages of chemical data. Open Babel version 2.3 interconverts over 110 formats. The need to represent such a wide variety of chemical and molecular data requires a library that implements a wide range of cheminformatics algorithms, from partial charge assignment and aromaticity detection, to bond order perception and canonicalization. We detail the implementation of Open Babel, describe key advances in the 2.3 release, and outline a variety of uses both in terms of software products and scientific research, including applications far beyond simple format interconversion. Conclusions Open Babel presents a solution to the proliferation of multiple chemical file formats. In addition, it provides a variety of useful utilities from conformer searching and 2D depiction, to filtering, batch conversion, and substructure and similarity searching. For developers, it can be used as a programming library to handle chemical data in areas such as organic chemistry, drug design, materials science, and computational chemistry. It is freely available under an open-source license from http://openbabel.org.
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                Author and article information

                Contributors
                hirotomo.moriwaki@gmail.com
                yushi-tian@phs.osaka-u.ac.jp
                nkawashita@life.kindai.ac.jp
                ttakagi@phs.osaka-u.ac.jp
                Journal
                J Cheminform
                J Cheminform
                Journal of Cheminformatics
                Springer International Publishing (Cham )
                1758-2946
                6 February 2018
                6 February 2018
                2018
                : 10
                : 4
                Affiliations
                [1 ]ISNI 0000 0004 0373 3971, GRID grid.136593.b, Graduate School of Pharmaceutical Sciences, , Osaka University, ; 1-6 Yamadaoka, Suita City, Osaka 565-0871 Japan
                [2 ]ISNI 0000 0004 1936 9967, GRID grid.258622.9, Faculty of Sciences and Engineering, , Kindai University, ; 3-4-1 Kowakae, Higashiosaka City, Osaka 577-8502 Japan
                Author information
                http://orcid.org/0000-0002-3122-8580
                http://orcid.org/0000-0002-8988-9453
                http://orcid.org/0000-0002-1740-7232
                http://orcid.org/0000-0002-0044-0722
                Article
                258
                10.1186/s13321-018-0258-y
                5801138
                29411163
                2593876a-6185-4f7a-b136-74ca55cae62c
                © The Author(s) 2018

                Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

                History
                : 26 June 2017
                : 23 January 2018
                Funding
                Funded by: FundRef http://dx.doi.org/10.13039/501100001691, Japan Society for the Promotion of Science;
                Award ID: JP15KT0017
                Award ID: JP17K08235
                Award Recipient :
                Funded by: Hirose International Scholarship Foundation
                Categories
                Software
                Custom metadata
                © The Author(s) 2018

                Chemoinformatics
                molecular descriptor,qspr,cheminformatics,calculation software,python
                Chemoinformatics
                molecular descriptor, qspr, cheminformatics, calculation software, python

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