A machine learning study of the two states model for lipid bilayer phase transitions

Author:

Walter Vivien1234ORCID,Ruscher Céline5678ORCID,Benzerara Olivier9101112,Marques Carlos M.9101112ORCID,Thalmann Fabrice9101112ORCID

Affiliation:

1. Department of Chemistry

2. King's College London

3. London

4. UK

5. Stewart Blusson Quantum Matter Institute

6. University of British Columbia

7. Vancouver

8. Canada

9. Institut Charles Sadron

10. CNRS and University of Strasbourg

11. F-67034 Strasbourg

12. France

Abstract

Machine learning algorithms can identify fluid and gel conformation states of individual lipid molecules.

Funder

Université de Strasbourg

Canada First Research Excellence Fund

Publisher

Royal Society of Chemistry (RSC)

Subject

Physical and Theoretical Chemistry,General Physics and Astronomy

Reference51 articles.

1. O. G. Mouritsen , Life-as a matter of fat: the emerging science of lipidomics , Springer , 2005

2. G. Cevc and D.Marsh , Phospholipid Bilayers. Physical Principles and Models , John Wiley & Sons , New-York , 1987

3. The Giant Vesicle Book , ed. R. Dimova and C. M. Marques , CRC Press, Taylor and Francis , 1st edn, 2019

4. Investigation of phase transitions of lipids and lipid mixtures by sensitivity differential scanning calorimetry.

5. T. Heimburg , Thermal Biophysics of Membranes , Wiley-VCH , 2007

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