Computational Complexity of Kabsch and Quaternion Based Algorithms for Molecular Superimposition in Computational Chemistry

Autor: Ondrej Krejcar, Katerina Fronckova, Rafael Dolezal, Ayca Kirimtat
Rok vydání: 2020
Předmět:
Zdroj: Proceedings of the 21st EANN (Engineering Applications of Neural Networks) 2020 Conference ISBN: 9783030487904
EANN
DOI: 10.1007/978-3-030-48791-1_37
Popis: This work deals with the analysis of Kabsch and quaternion algorithms, which may be used for 3D superimposition of molecules by rigid roto-translation in computational chemistry and biology. Both algorithms, which are very important for in silico drug design, were studied from the point of view of their non-trivial mathematical structure. Their computational complexity was investigated by a superimposition of various random pseudo-molecules with 2 – 100,000 atoms in Matlab. It was found that both proposed algorithm implementations exhibit the same asymptotic time computational complexity of O(n), with the quaternion algorithm involving a higher number of floating-point operations (FLOPs) and showing lower computational performance in terms of serial CPU time.
Databáze: OpenAIRE