Free-energy landscapes and insertion pathways for peptides in membrane environment

Sharma, Ganga P.; C., Meyer, Aaron; Habeeb, Suhail; Karbach, Michael; Müller, Gerhard

doi:10.1103/physreve.106.014404

Cited by 1 publication

(1 citation statement)

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“…However, pHLIP peptides with a minimum number of protonatable groups and a truncated membrane-inserting end undergo an apparent all-or-none transition for membrane insertion and helix formation ( Karabadzhak et al, 2012 ). Employing the approaches of statistical physics, free-energy landscapes were constructed for pHLIP in membranes at high and low pHs, describing pHLIP’s states ( Sharma et al, 2015 ; Sharma et al, 2022 ). Two viewpoints seem essential: first, the statistical ensemble of different states should always be considered, so one is viewing a predominant subset and not a single state, and second, the kinetics is especially important for in vivo applications in systems with a constant and fast blood flow.…”

Section: Tumor Targetingmentioning

confidence: 99%

Aiming the magic bullet: targeted delivery of imaging and therapeutic agents to solid tumors by pHLIP peptides

Reshetnyak,

Andreev,

Engelman

2024

Front. Pharmacol.

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The family of pH (Low) Insertion Peptides (pHLIP) comprises a tumor-agnostic technology that uses the low pH (or high acidity) at the surfaces of cells within the tumor microenvironment (TME) as a targeted biomarker. pHLIPs can be used for extracellular and intracellular delivery of a variety of imaging and therapeutic payloads. Unlike therapeutic delivery targeted to specific receptors on the surfaces of particular cells, pHLIP targets cancer, stromal and some immune cells all at once. Since the TME exhibits complex cellular crosstalk interactions, simultaneous targeting and delivery to different cell types leads to a significant synergistic effect for many agents. pHLIPs can also be positioned on the surfaces of various nanoparticles (NPs) for the targeted intracellular delivery of encapsulated payloads. The pHLIP technology is currently advancing in pre-clinical and clinical applications for tumor imaging and treatment.

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Section: Tumor Targetingmentioning

confidence: 99%