Literature DB >> 20973958

BALL--biochemical algorithms library 1.3.

Andreas Hildebrandt1, 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.   

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.

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Year:  2010        PMID: 20973958      PMCID: PMC2984589          DOI: 10.1186/1471-2105-11-531

Source DB:  PubMed          Journal:  BMC Bioinformatics        ISSN: 1471-2105            Impact factor:   3.169


  19 in total

Review 1.  Force fields for protein simulations.

Authors:  Jay W Ponder; David A Case
Journal:  Adv Protein Chem       Date:  2003

2.  BALLView: a tool for research and education in molecular modeling.

Authors:  Andreas Moll; Andreas Hildebrandt; Hans-Peter Lenhof; Oliver Kohlbacher
Journal:  Bioinformatics       Date:  2005-12-06       Impact factor: 6.937

3.  MESHI: a new library of Java classes for molecular modeling.

Authors:  Nir Kalisman; Ami Levi; Tetyana Maximova; Dan Reshef; Sharon Zafriri-Lynn; Yan Gleyzer; Chen Keasar
Journal:  Bioinformatics       Date:  2005-08-16       Impact factor: 6.937

4.  An object-oriented library for computational protein design.

Authors:  Arnab B Chowdry; Kimberly A Reynolds; Melinda S Hanes; Mark Voorhies; Navin Pokala; Tracy M Handel
Journal:  J Comput Chem       Date:  2007-11-15       Impact factor: 3.376

5.  A consensus line search algorithm for molecular potential energy functions.

Authors:  Alexander Rurainski; Andreas Hildebrandt; Hans-Peter Lenhof
Journal:  J Comput Chem       Date:  2009-07-15       Impact factor: 3.376

6.  Conformational evolution of ubiquitin ions in electrospray mass spectrometry: molecular dynamics simulations at gradually increasing temperatures.

Authors:  Elad Segev; Thomas Wyttenbach; Michael T Bowers; R Benny Gerber
Journal:  Phys Chem Chem Phys       Date:  2008-04-08       Impact factor: 3.676

7.  Targeting enteroviral 2A protease by a 16-mer synthetic peptide: inhibition of 2Apro-induced apoptosis in a stable Tet-on HeLa cell line.

Authors:  Nader Maghsoudi; Narges Kh Tafreshi; Fariba Khodagholi; Zahra Zakeri; Mitra Esfandiarei; Hamid Hadi-Alijanvand; Marjan Sabbaghian; Amir Hossein Maghsoudi; Mahnaz Sajadi; Mastaneh Zohri; Maryam Moosavi; Mehdi Zeinoddini
Journal:  Virology       Date:  2010-01-22       Impact factor: 3.616

8.  Dictionary of protein secondary structure: pattern recognition of hydrogen-bonded and geometrical features.

Authors:  W Kabsch; C Sander
Journal:  Biopolymers       Date:  1983-12       Impact factor: 2.505

9.  Revisiting automated G-protein coupled receptor modeling: the benefit of additional template structures for a neurokinin-1 receptor model.

Authors:  Benny Kneissl; Bettina Leonhardt; Andreas Hildebrandt; Christofer S Tautermann
Journal:  J Med Chem       Date:  2009-05-28       Impact factor: 7.446

10.  Combining structure and sequence information allows automated prediction of substrate specificities within enzyme families.

Authors:  Marc Röttig; Christian Rausch; Oliver Kohlbacher
Journal:  PLoS Comput Biol       Date:  2010-01-08       Impact factor: 4.475

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  16 in total

1.  Paleoproteomic study of the Iceman's brain tissue.

Authors:  Frank Maixner; Thorsten Overath; Dennis Linke; Marek Janko; Gea Guerriero; Bart H J van den Berg; Bjoern Stade; Petra Leidinger; Christina Backes; Marta Jaremek; Benny Kneissl; Benjamin Meder; Andre Franke; Eduard Egarter-Vigl; Eckart Meese; Andreas Schwarz; Andreas Tholey; Albert Zink; Andreas Keller
Journal:  Cell Mol Life Sci       Date:  2013-06-06       Impact factor: 9.261

Review 2.  Open source molecular modeling.

Authors:  Somayeh Pirhadi; Jocelyn Sunseri; David Ryan Koes
Journal:  J Mol Graph Model       Date:  2016-07-30       Impact factor: 2.518

3.  Automated simultaneous assignment of bond orders and formal charges.

Authors:  Ivan D Welsh; Jane R Allison
Journal:  J Cheminform       Date:  2019-03-06       Impact factor: 5.514

4.  Determination of structural fluctuations of proteins from structure-based calculations of residual dipolar couplings.

Authors:  Rinaldo W Montalvao; Alfonso De Simone; Michele Vendruscolo
Journal:  J Biomol NMR       Date:  2012-06-23       Impact factor: 2.835

5.  BALL-SNP: combining genetic and structural information to identify candidate non-synonymous single nucleotide polymorphisms.

Authors:  Sabine C Mueller; Christina Backes; Olga V Kalinina; Benjamin Meder; Daniel Stöckel; Hans-Peter Lenhof; Eckart Meese; Andreas Keller
Journal:  Genome Med       Date:  2015-07-01       Impact factor: 11.117

6.  H2rs: deducing evolutionary and functionally important residue positions by means of an entropy and similarity based analysis of multiple sequence alignments.

Authors:  Jan-Oliver Janda; Ajmal Popal; Jochen Bauer; Markus Busch; Michael Klocke; Wolfgang Spitzer; Jörg Keller; Rainer Merkl
Journal:  BMC Bioinformatics       Date:  2014-04-27       Impact factor: 3.169

7.  Binding pocket optimization by computational protein design.

Authors:  Christoph Malisi; Marcel Schumann; Nora C Toussaint; Jorge Kageyama; Oliver Kohlbacher; Birte Höcker
Journal:  PLoS One       Date:  2012-12-27       Impact factor: 3.240

8.  NightShift: NMR shift inference by general hybrid model training--a framework for NMR chemical shift prediction.

Authors:  Anna Katharina Dehof; Simon Loew; Hans-Peter Lenhof; Andreas Hildebrandt
Journal:  BMC Bioinformatics       Date:  2013-03-16       Impact factor: 3.169

9.  Improving HIV coreceptor usage prediction in the clinic using hints from next-generation sequencing data.

Authors:  Nico Pfeifer; Thomas Lengauer
Journal:  Bioinformatics       Date:  2012-09-15       Impact factor: 6.937

10.  Elucidating the evolutionary conserved DNA-binding specificities of WRKY transcription factors by molecular dynamics and in vitro binding assays.

Authors:  Luise H Brand; Nina M Fischer; Klaus Harter; Oliver Kohlbacher; Dierk Wanke
Journal:  Nucleic Acids Res       Date:  2013-08-23       Impact factor: 16.971

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