2022
DOI: 10.1002/pro.4385
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Ca2+‐dependent interactions between lipids and the tumor‐targeting peptide pHLIP

Abstract: Cancerous tissues undergo extensive changes to their cellular environments that differentiate them from healthy tissues. These changes include changes in extracellular pH and Ca2+ concentrations, and the exposure of phosphatidylserine (PS) to the extracellular environment, which can modulate the interaction of peptides and proteins with the plasma membrane. Deciphering the molecular mechanisms of such interactions is critical for advancing the knowledge‐based design of cancer‐targeting molecular tools, such as… Show more

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Cited by 9 publications
(13 citation statements)
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References 78 publications
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“…The first step of the equilibration procedure using these restraints resulted in most peptides’ N-terminus segment converging to the kinked α-helical conformation, similar to what has been shown for the wt peptide . This behavior has also been observed recently using MD simulations and bromolipid quenching experiments (Table S1 of the Supporting Information) . The second step of the protocol consisted of a 100 ns unrestrained constant-pH molecular dynamics (CpHMD) simulation at pH 6.0 to enable residue titration and remove all initial bias, equilibrating both the conformation and protonation states of the titrating residues.…”
Section: Methodssupporting
confidence: 65%
See 1 more Smart Citation
“…The first step of the equilibration procedure using these restraints resulted in most peptides’ N-terminus segment converging to the kinked α-helical conformation, similar to what has been shown for the wt peptide . This behavior has also been observed recently using MD simulations and bromolipid quenching experiments (Table S1 of the Supporting Information) . The second step of the protocol consisted of a 100 ns unrestrained constant-pH molecular dynamics (CpHMD) simulation at pH 6.0 to enable residue titration and remove all initial bias, equilibrating both the conformation and protonation states of the titrating residues.…”
Section: Methodssupporting
confidence: 65%
“…Several computational studies have focused on simple models, using single lipid membranes, to modulate and understand the physical chemistry of peptide–membrane interactions. These studies delved into modifying the peptide length, charged residues, and hydrophobic stretches to provide molecular insight into a wide range of biophysical phenomena, including peptide structural disposition in the membrane , and the formation of membrane pores. , Although most of these studies do not fully mimic the physiological environment, they provide important information to determine possible folding pathways , and identify key residues for peptide function. Still, in other experimental studies, complex lipid compositions (i.e., cholesterol and anionic lipids) are often used in tandem with different ion concentrations to highlight how peptide kinetics changes as a result of the more electrostatically charged environments on the protonation changes of the relevant residues. …”
Section: Introductionmentioning
confidence: 99%
“…[5,[31][32] Numerous examples of utilizing Trp fluorescence to study structure, kinetics and thermodynamics of peptide-lipid interactions exist. [32][33][34][35][36][37][38][39][40][41][42][43][44][45] One of the advantages of using Trp as a probe is that the conformational heterogeneity of the environment can be studies by simultaneously monitoring the position of the emission spectrum and its widths. [31] An illustrative example of the use of the intrinsic Trp fluorescence for examining the protein-membrane interactions is the case study of the membrane-proximal external region (MPER) of the membrane-interacting C-terminal domain of the HIV-1 gp41 fusion protein.…”
Section: Fluorescent Amino Acids As Intrinsic Probementioning
confidence: 99%
“…Hybrid peptides were prepared by solid-phase peptide synthesis, purified and analyzed by RP-HPLC, and confirmed via MALDI-TOF mass spectrometry, as previously reported (Bloch et al, 2019;Gerhart et al, 2018;Vasquez-Montes et al, 2019;Vasquez-Montes et al, 2022;Wehr et al, 2020).…”
Section: Solid-phase Peptide Synthesismentioning
confidence: 99%