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How Molecular Size Impacts RMSD Applications in Molecular Dynamics Simulations
Abstract
The root-mean-square deviation (RMSD) is a similarity measure widely used in analysis of macromolecular structures and dynamics. As increasingly larger macromolecular systems are being studied, dimensionality effects such as the "curse of dimensionality" (a diminishing ability to discriminate pairwise differences between conformations with increasing system size) may exist and significantly impact RMSD-based analyses. For such large bimolecular systems, whether the RMSD or other alternative similarity measures might suffer from this "curse" and lose the ability to discriminate different macromolecular structures had not been explicitly addressed. Here, we show such dimensionality effects for both weighted and nonweighted RMSD schemes. We also provide a mechanism for the emergence of the "curse of dimensionality" for RMSD from the law of large numbers by showing that the conformational distributions from which RMSDs are calculated become increasingly similar as the system size increases. Our findings suggest the use of weighted RMSD schemes for small proteins (less than 200 residues) and nonweighted RMSD for larger proteins when analyzing molecular dynamics trajectories.
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Biopython: freely available python tools for computational molecular biology and bioinformatics
Cock, P. J. A., Antao, T., Chang, J. T., Chapman, B. A., Cox, C. J., Dalke, A., Friedberg, I., Hamelryck, T., Kauff, F., Wilczynski, B., et al. (2009) · Bioinformatics · doi:10.1093/bioinformatics/btp163 · Cited by 6,080
Comparing molecules and solids across structural and alchemical space
De, S., Bartók, A. P., Csányi, G., & Ceriotti, M. (2016) · Physical Chemistry Chemical Physics · doi:10.1039/c6cp00415f · Cited by 778
Cited by
Computational Design of a TCR-Based Bispecific Engager Targeting Cancerous KRAS G12V Mutations
Shah, N., Sharma, G., Patel, V., Wu, M., Mummadi, A., Taneja, A., Shah, M., Le, G. B., Krishna, M., & Brah, H. (2026) · ACS Omega · doi:10.1021/acsomega.5c10229
Metadata
- Authors
- Sargsyan, K., Grauffel, C., & Lim, C.
- Venue
- Journal of Chemical Theory and Computation
- Publisher
- American Chemical Society (ACS)
- Published
- 2017-03-16
- Volume
- 13
- Issue
- 4
- Pages
- 1518-1524
- ISSN
- 1549-9618 (ISSN-L)
- 1549-9626
- OpenAlex
- W2593843857
- Cited by
- 672
- References
- 2
- FWCI
- 4.08
- Type
- journal article
- Language
- en
- Open access
- closed
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