Boolean network simulations for life scientists |
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Authors: | István Albert Juilee Thakar Song Li Ranran Zhang Réka Albert |
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Institution: | 1. Institute of Organic Chemistry and Biochemistry, The Academy of Sciences of the Czech Republic, Flemingovo nam.2, Prague 6, CZ-16610, Czech Republic 2. Department of Theoretical Chemistry, University of Lund, P.O.B 124 SE-22100 Lund, Sweden
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Abstract: | Background We present a C++ class library for Monte Carlo simulation of molecular systems, including proteins in solution. The design is generic and highly modular, enabling multiple developers to easily implement additional features. The statistical mechanical methods are documented by extensive use of code comments that – subsequently – are collected to automatically build a web-based manual. Results We show how an object oriented design can be used to create an intuitively appealing coding framework for molecular simulation. This is exemplified in a minimalistic C++ program that can calculate protein protonation states. We further discuss performance issues related to high level coding abstraction. Conclusion C++ and the Standard Template Library (STL) provide a high-performance platform for generic molecular modeling. Automatic generation of code documentation from inline comments has proven particularly useful in that no separate manual needs to be maintained. |
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