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6. Machine learning-enabled discovery and design of membrane-active peptides.

8. Plasma lipidomic profiles in two large independent cohorts improve upon conventional risk factors to predict cardiovascular events

9. Sensational biofilms: surface sensing in bacteria.

10. How Bacteria Use Type IV Pili Machinery on Surfaces.

11. Postprandial Plasma Phospholipids in Men Are Influenced by the Source of Dietary Fat.

13. Lipidomics: Potential role in risk prediction and therapeutic monitoring for diabetes and cardiovascular disease.

14. Specific plasma lipid classes and phospholipid fatty acids indicative of dairy food consumption associate with insulin sensitivity.

15. Antimicrobial peptides and induced membrane curvature: Geometry, coordination chemistry, and molecular engineering.

16. Electrostatics of rigid polyelectrolytes

17. Clostridioides difficile Toxin A Remodels Membranes and Mediates DNA Entry Into Cells to Activate Toll-Like Receptor 9 Signaling.

18. Structural studies of human fission protein FIS1 reveal a dynamic region important for GTPase DRP1 recruitment and mitochondrial fission.

20. Sequence determinants in the cathelicidin LL-37 that promote inflammation via presentation of RNA to scavenger receptors.

21. Machine learning antimicrobial peptide sequences: Some surprising variations on the theme of amphiphilic assembly.

22. Pentobra: A Potent Antibiotic with Multiple Layers of Selective Antimicrobial Mechanisms against Propionibacterium Acnes.

23. Arginine in α-Defensins DIFFERENTIAL EFFECTS ON BACTERICIDAL ACTIVITY CORRESPOND TO GEOMETRY OF MEMBRANE CURVATURE GENERATION AND PEPTIDE-LIPID PHASE BEHAVIOR.

24. Chloroquine for influenza prevention: a randomised, double-blind, placebo controlled trial

25. How do cyclic antibiotics with activity against Gram-negative bacteria permeate membranes? A machine learning informed experimental study.

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