BALL-biochemical algorithms library 1.3
- Publication type:
- Journal article
- Metadata:
-
- Autoren
- Andreas Hildebrandt
- Anna Katharina Dehof
- Alexander Rurainski
- Andreas Bertsch
- Marcel Schumann
- Nora C Toussaint
- Andreas Moll
- Daniel Stoeckel
- Stefan Nickels
- Sabine C Mueller
- Hans-Peter Lenhof
- Oliver Kohlbacher
- Autoren-URL
- https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=fis-test-1&SrcAuth=WosAPI&KeyUT=WOS:000284112700001&DestLinkType=FullRecord&DestApp=WOS_CPL
- DOI
- 10.1186/1471-2105-11-531
- Externe Identifier
- Clarivate Analytics Document Solution ID: 678WD
- PubMed Identifier: 20973958
- ISSN
- 1471-2105
- Zeitschrift
- BMC BIOINFORMATICS
- Artikelnummer
- ARTN 531
- Datum der Veröffentlichung
- 2010
- Status
- Published
- Titel
- BALL - biochemical algorithms library 1.3
- Sub types
- Article
- Ausgabe der Zeitschrift
- 11
Data source: Web of Science (Lite)
- Other metadata sources:
-
- Autoren
- Andreas Hildebrandt
- Anna Katharina Dehof
- Alexander Rurainski
- Andreas Bertsch
- Marcel Schumann
- Nora C Toussaint
- Andreas Moll
- Daniel Stöckel
- Stefan Nickels
- Sabine C Mueller
- Hans-Peter Lenhof
- Oliver Kohlbacher
- DOI
- 10.1186/1471-2105-11-531
- eISSN
- 1471-2105
- Ausgabe der Veröffentlichung
- 1
- Zeitschrift
- BMC Bioinformatics
- Sprache
- en
- Artikelnummer
- 531
- Online publication date
- 2010
- Datum der Veröffentlichung
- 2010
- Status
- Published
- Herausgeber
- Springer Science and Business Media LLC
- Herausgeber URL
- http://dx.doi.org/10.1186/1471-2105-11-531
- Datum der Datenerfassung
- 2019
- Titel
- BALL - biochemical algorithms library 1.3
- Ausgabe der Zeitschrift
- 11
Data source: Crossref
- Abstract
- <h4>Background</h4>The Biochemical Algorithms Library (BALL) is a comprehensive rapid application development framework for structural bioinformatics. It provides an extensive C++ class library of data structures and algorithms for molecular modeling and structural bioinformatics. Using BALL as a programming toolbox does not only allow to greatly reduce application development times but also helps in ensuring stability and correctness by avoiding the error-prone reimplementation of complex algorithms and replacing them with calls into the library that has been well-tested by a large number of developers. In the ten years since its original publication, BALL has seen a substantial increase in functionality and numerous other improvements.<h4>Results</h4>Here, we discuss BALL's current functionality and highlight the key additions and improvements: support for additional file formats, molecular edit-functionality, new molecular mechanics force fields, novel energy minimization techniques, docking algorithms, and support for cheminformatics.<h4>Conclusions</h4>BALL is available for all major operating systems, including Linux, Windows, and MacOS X. It is available free of charge under the Lesser GNU Public License (LPGL). Parts of the code are distributed under the GNU Public License (GPL). BALL is available as source code and binary packages from the project web site at http://www.ball-project.org. Recently, it has been accepted into the debian project; integration into further distributions is currently pursued.
- Addresses
- Center for Bioinformatics Saar, Saarland University, Saarbrücken, Germany. anhi@bioinf.uni-sb.de
- Autoren
- Andreas Hildebrandt
- Anna Katharina Dehof
- Alexander Rurainski
- Andreas Bertsch
- Marcel Schumann
- Nora C Toussaint
- Andreas Moll
- Daniel Stöckel
- Stefan Nickels
- Sabine C Mueller
- Hans-Peter Lenhof
- Oliver Kohlbacher
- DOI
- 10.1186/1471-2105-11-531
- eISSN
- 1471-2105
- Externe Identifier
- PubMed Identifier: 20973958
- PubMed Central ID: PMC2984589
- Open access
- true
- ISSN
- 1471-2105
- Zeitschrift
- BMC bioinformatics
- Schlüsselwörter
- Computational Biology
- Algorithms
- Software
- Databases, Factual
- Sprache
- eng
- Medium
- Electronic
- Online publication date
- 2010
- Open access status
- Open Access
- Paginierung
- 531
- Datum der Veröffentlichung
- 2010
- Status
- Published
- Publisher licence
- CC BY
- Datum der Datenerfassung
- 2010
- Titel
- BALL--biochemical algorithms library 1.3.
- Sub types
- product-review
- Research Support, Non-U.S. Gov't
- Journal Article
- Ausgabe der Zeitschrift
- 11
Files
https://bmcbioinformatics.biomedcentral.com/counter/pdf/10.1186/1471-2105-11-531 https://www.ncbi.nlm.nih.gov/pmc/articles/pmid/20973958/pdf/?tool=EBI http://www.biomedcentral.com/content/pdf/1471-2105-11-531.pdf https://europepmc.org/articles/PMC2984589?pdf=render
Data source: Europe PubMed Central
- Abstract
- BACKGROUND: The Biochemical Algorithms Library (BALL) is a comprehensive rapid application development framework for structural bioinformatics. It provides an extensive C++ class library of data structures and algorithms for molecular modeling and structural bioinformatics. Using BALL as a programming toolbox does not only allow to greatly reduce application development times but also helps in ensuring stability and correctness by avoiding the error-prone reimplementation of complex algorithms and replacing them with calls into the library that has been well-tested by a large number of developers. In the ten years since its original publication, BALL has seen a substantial increase in functionality and numerous other improvements. RESULTS: Here, we discuss BALL's current functionality and highlight the key additions and improvements: support for additional file formats, molecular edit-functionality, new molecular mechanics force fields, novel energy minimization techniques, docking algorithms, and support for cheminformatics. CONCLUSIONS: BALL is available for all major operating systems, including Linux, Windows, and MacOS X. It is available free of charge under the Lesser GNU Public License (LPGL). Parts of the code are distributed under the GNU Public License (GPL). BALL is available as source code and binary packages from the project web site at http://www.ball-project.org. Recently, it has been accepted into the debian project; integration into further distributions is currently pursued.
- Date of acceptance
- 2010
- Autoren
- Andreas Hildebrandt
- Anna Katharina Dehof
- Alexander Rurainski
- Andreas Bertsch
- Marcel Schumann
- Nora C Toussaint
- Andreas Moll
- Daniel Stöckel
- Stefan Nickels
- Sabine C Mueller
- Hans-Peter Lenhof
- Oliver Kohlbacher
- Autoren-URL
- https://www.ncbi.nlm.nih.gov/pubmed/20973958
- DOI
- 10.1186/1471-2105-11-531
- eISSN
- 1471-2105
- Externe Identifier
- PubMed Central ID: PMC2984589
- Zeitschrift
- BMC Bioinformatics
- Schlüsselwörter
- Algorithms
- Computational Biology
- Databases, Factual
- Software
- Sprache
- eng
- Country
- England
- Paginierung
- 531
- PII
- 1471-2105-11-531
- Datum der Veröffentlichung
- 2010
- Status
- Published online
- Datum, an dem der Datensatz öffentlich gemacht wurde
- 2011
- Titel
- BALL--biochemical algorithms library 1.3.
- Sub types
- Journal Article
- Research Support, Non-U.S. Gov't
- Ausgabe der Zeitschrift
- 11
Data source: PubMed
- Autoren
- Andreas Hildebrandt
- Anna Katharina Dehof
- Alexander Rurainski
- Andreas Bertsch
- Marcel Schumann
- Nora C Toussaint
- Andreas Moll
- Daniel Stöckel
- Stefan Nickels
- Sabine C Mueller
- others
- Zeitschrift
- BMC bioinformatics
- Artikelnummer
- 1
- Paginierung
- 531 - 531
- Datum der Veröffentlichung
- 2010
- Herausgeber
- BioMed Central
- Datum der Datenerfassung
- 2020
- Titel
- BALL-biochemical algorithms library 1.3
- Sub types
- article
- Ausgabe der Zeitschrift
- 11
Data source: Manual
- Beziehungen:
- Property of