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1.
ACS Med Chem Lett ; 11(10): 1993-2001, 2020 Oct 08.
Article in English | MEDLINE | ID: mdl-33062184

ABSTRACT

Nonspecific promiscuous compounds can mislead researchers and waste significant resources. This phenomenon, though well-documented for small molecules, has not been widely explored for the peptide modality. Here we demonstrate that two purported peptide-based KRas inhibitors, SAH-SOS1 A and cyclorasin 9A5, exemplify false-positive molecules-in terms of both their binding affinities and cellular activities. Through multiple gold-standard biophysical techniques, we unambiguously show that both peptides lack specific binding to KRas and instead induce protein unfolding. Although these peptides inhibited cellular proliferation, the activities appeared to be off-target on the basis of a counterscreen with KRas-independent cell lines. We further demonstrate that their cellular activities are derived from membrane disruption. Accordingly, we propose that to de-risk false-positive molecules, orthogonal binding assays and cellular counterscreens are indispensable.

2.
Sci Rep ; 7(1): 1763, 2017 05 11.
Article in English | MEDLINE | ID: mdl-28496125

ABSTRACT

Linear peptides can mimic and disrupt protein-protein interactions involved in critical cell signaling pathways. Such peptides however are usually protease sensitive and unable to engage with intracellular targets due to lack of membrane permeability. Peptide stapling has been proposed to circumvent these limitations but recent data has suggested that this method does not universally solve the problem of cell entry and can lead to molecules with off target cell lytic properties. To address these issues a library of stapled peptides was synthesized and screened to identify compounds that bound Mdm2 and activated cellular p53. A lead peptide was identified that activated intracellular p53 with negligible nonspecific cytotoxicity, however it still bound serum avidly and only showed a marginal improvement in cellular potency. These hurdles were overcome by successfully identifying a pyridinium-based cationic lipid formulation, which significantly improved the activity of the stapled peptide in a p53 reporter cell line, principally through increased vesicular escape. These studies underscore that stapled peptides, which are cell permeable and target specific, can be identified with rigorous experimental design and that these properties can be improved through use with lipid based formulations. This work should facilitate the clinical translation of stapled peptides.


Subject(s)
Drug Delivery Systems , Hydrocarbons/chemistry , Intracellular Space/metabolism , Lipids/chemistry , Multiprotein Complexes/metabolism , Peptides/chemistry , Cations , Cell Survival , Endosomes/metabolism , Genes, Reporter , HEK293 Cells , Humans , Inhibitory Concentration 50 , Peptide Library , Proto-Oncogene Proteins c-mdm2/metabolism , Pyridines/chemistry , Transcriptional Activation/genetics , Tumor Suppressor Protein p53/genetics , Tumor Suppressor Protein p53/metabolism
3.
J Phys Chem Lett ; 7(17): 3452-7, 2016 Sep 01.
Article in English | MEDLINE | ID: mdl-27532490

ABSTRACT

Protein flexibility poses a major challenge in binding site identification. Several computational pocket detection methods that utilize small-molecule probes in molecular dynamics (MD) simulations have been developed to address this issue. Although they have proven hugely successful at reproducing experimental structural data, their ability to predict new binding sites that are yet to be identified and characterized has not been demonstrated. Here, we report the use of benzenes as probe molecules in ligand-mapping MD (LMMD) simulations to predict the existence of two novel binding sites on the surface of the oncoprotein MDM2. One of them was serendipitously confirmed by biophysical assays and X-ray crystallography to be important for the binding of a new family of hydrocarbon stapled peptides that were specifically designed to target the other putative site. These results highlight the predictive power of LMMD and suggest that predictions derived from LMMD simulations can serve as a reliable basis for the identification of novel ligand binding sites in structure-based drug design.


Subject(s)
Benzene/chemistry , Binding Sites , Ligands , Models, Molecular , Molecular Dynamics Simulation , Protein Binding
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