TY - JOUR
T1 - Reaction Coordinates for Conformational Transitions Using Linear Discriminant Analysis on Positions
AU - Sasmal, Subarna
AU - McCullagh, Martin
AU - Hocky, Glen M.
N1 - Funding Information:
We thank the D.E. Shaw Research for providing simulation data on the HP35 protein, and we thank the Tiwary lab for providing their input files for (Aib). SS and GMH were supported by the National Institutes of Health through the award R35GM138312. SS was also partially supported by a graduate fellowship from the Simons Center for Computational Physical Chemistry (SCCPC) at NYU (SF Grant No. 839534). MM would like to acknowledge funding from National Institute of Allergy and Infectious Diseases of the National Institutes of Health under award number R01AI166050. This work was supported in part through the NYU IT High Performance Computing resources, services, and staff expertise, and simulations were partially executed on resources supported by the SCCPC at NYU. 9
Publisher Copyright:
© 2023 The Authors. Published by American Chemical Society.
PY - 2023/7/25
Y1 - 2023/7/25
N2 - In this work, we demonstrate that Linear Discriminant Analysis (LDA) applied to atomic positions in two different states of a biomolecule produces a good reaction coordinate between those two states. Atomic coordinates of a macromolecule are a direct representation of a macromolecular configuration, and yet, they are not used in enhanced sampling studies due to a lack of rotational and translational invariance. We resolve this issue using the technique of our prior work, whereby a molecular configuration is considered a member of an equivalence class in size-and-shape space, which is the set of all configurations that can be translated and rotated to a single point within a reference multivariate Gaussian distribution characterizing a single molecular state. The reaction coordinates produced by LDA applied to positions are shown to be good reaction coordinates both in terms of characterizing the transition between two states of a system within a long molecular dynamics (MD) simulation and also ones that allow us to readily produce free energy estimates along that reaction coordinate using enhanced sampling MD techniques.
AB - In this work, we demonstrate that Linear Discriminant Analysis (LDA) applied to atomic positions in two different states of a biomolecule produces a good reaction coordinate between those two states. Atomic coordinates of a macromolecule are a direct representation of a macromolecular configuration, and yet, they are not used in enhanced sampling studies due to a lack of rotational and translational invariance. We resolve this issue using the technique of our prior work, whereby a molecular configuration is considered a member of an equivalence class in size-and-shape space, which is the set of all configurations that can be translated and rotated to a single point within a reference multivariate Gaussian distribution characterizing a single molecular state. The reaction coordinates produced by LDA applied to positions are shown to be good reaction coordinates both in terms of characterizing the transition between two states of a system within a long molecular dynamics (MD) simulation and also ones that allow us to readily produce free energy estimates along that reaction coordinate using enhanced sampling MD techniques.
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U2 - 10.1021/acs.jctc.3c00051
DO - 10.1021/acs.jctc.3c00051
M3 - Article
C2 - 37130367
AN - SCOPUS:85159634456
SN - 1549-9618
VL - 19
SP - 4427
EP - 4435
JO - Journal of chemical theory and computation
JF - Journal of chemical theory and computation
IS - 14
ER -