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Better Partitions of Protein Graphs for Subsystem Quantum Chemistry

  • Moritz von LoozEmail author
  • Mario Wolter
  • Christoph R. Jacob
  • Henning Meyerhenke
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9685)

Abstract

Determining the interaction strength between proteins and small molecules is key to analyzing their biological function. Quantum-mechanical calculations such as Density Functional Theory (DFT) give accurate and theoretically well-founded results. With common implementations the running time of DFT calculations increases quadratically with molecule size. Thus, numerous subsystem-based approaches have been developed to accelerate quantum-chemical calculations. These approaches partition the protein into different fragments, which are treated separately. Interactions between different fragments are approximated and introduce inaccuracies in the calculated interaction energies.

To minimize these inaccuracies, we represent the amino acids and their interactions as a weighted graph in order to apply graph partitioning. None of the existing graph partitioning work can be directly used, though, due to the unique constraints in partitioning such protein graphs. We therefore present and evaluate several algorithms, partially building upon established concepts, but adapted to handle the new constraints. For the special case of partitioning a protein along the main chain, we also present an efficient dynamic programming algorithm that yields provably optimal results. In the general scenario our algorithms usually improve the previous approach significantly and take at most a few seconds.

Keywords

Density Functional Theory Main Chain Graph Partitioning Naive Approach Balance Partition 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Moritz von Looz
    • 1
    Email author
  • Mario Wolter
    • 2
  • Christoph R. Jacob
    • 2
  • Henning Meyerhenke
    • 1
  1. 1.Institute of Theoretical Informatics Karlsruhe Institute of Technology (KIT)KarlsruheGermany
  2. 2.Institute of Physical and Theoretical ChemistryTU BraunschweigBraunschweigGermany

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