Title
Tracking Internal Frames of Reference for Consistent Molecular Distribution Functions
Abstract
In molecular analysis, spatial distribution functions (SDF) are fundamental instruments in answering questions related to spatial occurrences and relations of atomic structures over time. Given a molecular trajectory, SDFs can, for example, reveal the occurrence of water in relation to particular structures and hence provide clues of hydrophobic and hydrophilic regions. For the computation of meaningful distribution functions, the definition of molecular reference structures is essential. Therefore we introduce the concept of an internal frame of reference (IFR) for labeled point sets that represent selected molecular structures, and we propose an algorithm for tracking the IFR over time and space using a variant of Kabsch’s algorithm. This approach lets us generate a consistent space for the aggregation of the SDF for molecular trajectories and molecular ensembles. We demonstrate the usefulness of the technique by applying it to temporal molecular trajectories as well as ensemble datasets. The examples include different docking scenarios with DNA, insulin, and aspirin.
Year
DOI
Venue
2022
10.1109/TVCG.2021.3051632
IEEE Transactions on Visualization and Computer Graphics
Keywords
DocType
Volume
Algorithms,Computer Graphics,DNA
Journal
28
Issue
ISSN
Citations 
9
1077-2626
0
PageRank 
References 
Authors
0.34
6
5
Name
Order
Citations
PageRank
Robin Skånberg121.71
M. Falk2313.58
Mathieu Linares300.34
Anders Ynnerman470761.82
Ingrid Hotz538532.95