Liposome Click Membrane Permeability Assay for Identifying Permeable Peptides.

PURPOSE: To develop a novel, target agnostic liposome click membrane permeability assay (LCMPA) using liposome encapsulating copper free click reagent dibenzo cyclooctyne biotin (DBCO-Biotin) to conjugate azido modified peptides that may effectively translocate from extravesicular space into the liposome lumen. METHOD: DBCO-Biotin liposomes were prepared with egg phosphatidylcholine and cholesterol by lipid film rehydration, freeze/thaw followed by extrusion. Size of DBCO-Biotin liposomes were characterized with dynamic light scattering. RESULTS: The permeable peptides representing energy independent mechanism of permeability showed higher biotinylation in LCMPA. Individual peptide permeability results from LCMPA correlated well with shifts in potency in cellular versus biochemical assays (i.e., cellular/ biochemical ratio) demonstrating quantitative correlation to intracellular barrier in intact cells. CONCLUSION: The study provides a novel membrane permeability assay that has potential to evaluate energy independent transport of diverse peptides.

Rigorous Computational and Experimental Investigations on MDM2/MDMX-Targeted Linear and Macrocyclic Peptides.

There is interest in peptide drug design, especially for targeting intracellular protein-protein interactions. Therefore, the experimental validation of a computational platform for enabling peptide drug design is of interest. Here, we describe our peptide drug design platform (CMDInventus) and demonstrate its use in modeling and predicting the structural and binding aspects of diverse peptides that interact with oncology targets MDM2/MDMX in comparison to both retrospective (pre-prediction) and prospective (post-prediction) data. In the retrospective study, CMDInventus modules (CMDpeptide, CMDboltzmann, CMDescore and CMDyscore) were used to accurately reproduce structural and binding data across multiple MDM2/MDMX data sets. In the prospective study, CMDescore, CMDyscore and CMDboltzmann were used to accurately predict binding affinities for an Ala-scan of the stapled α-helical peptide ATSP-7041. Remarkably, CMDboltzmann was used to accurately predict the results of a novel D-amino acid scan of ATSP-7041. Our investigations rigorously validate CMDInventus and support its utility for enabling peptide drug design.