Computing spatially resolved rotational hydration-shell entropies from MD 
simulations using an orientational k-nearest-neighbor density estimator.

Heinz, L. P.; Grubmüller, H.

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Computing spatially resolved rotational hydration-shell entropies from MD simulations using an orientational k-nearest-neighbor density estimator.

Heinz, L. P., & Grubmüller, H. (2020). Computing spatially resolved rotational hydration-shell entropies from MD simulations using an orientational k-nearest-neighbor density estimator. Biophysical Journal, 118(Suppl_1), 141A-141A.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0005-E4A8-C Version Permalink: https://hdl.handle.net/21.11116/0000-0005-E4AA-A

Genre: Conference Paper

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Creators:
Heinz, L. P.¹, Author
Grubmüller, H.¹, Author

Affiliations:
1Department of Theoretical and Computational Biophysics, MPI for Biophysical Chemistry, Max Planck Society, ou_578631

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Language(s): eng - English

Dates: Date issued: 2020-02-07

Publication Status: Issued

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Title: 64th Annual Meeting of the Biophysical-Society

Place of Event: San Diego, CA

Start-/End Date: 2020-02-15 - 2020-02-19

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Title: Biophysical Journal

Source Genre: Journal

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Publ. Info: 3

Pages: - Volume / Issue: 118 (Suppl_1) Sequence Number: - Start / End Page: 141A - 141A Identifier: -