A Data-Driven Dimensionality Reduction Approach to Compare and Classify Lipid Force Fields-Reference-Cited by-同舟云学术

A Data-Driven Dimensionality Reduction Approach to Compare and Classify Lipid Force Fields

Published:2021-07-13 Issue:28 Volume:125 Page:7785-7796
ISSN:1520-6106
Container-title:The Journal of Physical Chemistry B
language:en
Short-container-title:J. Phys. Chem. B

Author:

Capelli Riccardo¹^ORCID,Gardin Andrea¹,Empereur-mot Charly²^ORCID,Doni Giovanni²,Pavan Giovanni M.¹²^ORCID

Affiliation:

1. Department of Applied Science and Technology, Politecnico di Torino, Corso Duca Degli Abruzzi 24, I-10129 Torino, Italy

2. Department of Innovative Technologies, University of Applied Sciences and Arts of Southern Switzerland, Polo Universitario Lugano, Campus Est, Via la Santa 1, CH-6962 Lugano-Viganello, Switzerland

Funder

Schweizerischer Nationalfonds zur FÃ¶rderung der Wissenschaftlichen Forschung

H2020 European Research Council

Publisher

American Chemical Society (ACS)

Subject

Materials Chemistry,Surfaces, Coatings and Films,Physical and Theoretical Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acs.jpcb.1c02503

Reference66 articles.

1. Membrane lipids: where they are and how they behave

2. Structural Determinants of Water Permeability through the Lipid Membrane

3. Membrane lipids and cell signaling

4. Emerging Diversity in Lipid–Protein Interactions

5. Dynamic structure of fatty acyl chains in a phospholipid bilayer measured by deuterium magnetic resonance

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