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1.
Bioorg Med Chem Lett ; 23(1): 340-5, 2013 Jan 01.
Article in English | MEDLINE | ID: mdl-23164706

ABSTRACT

Increased concentrations of secreted phospholipase A2 type IIA (sPLA2-IIA), have been found in the synovial fluid of patients with rheumatoid arthritis. It has been shown that sPLA2-IIA specifically binds to integrin αvß3, and initiates a signaling pathway that leads to cell proliferation and inflammation. Therefore, the interaction between integrin and sPLA2-IIA could be a potential therapeutic target for the treatment of proliferation or inflammation-related diseases. Two one-bead-one-compound peptide libraries were constructed and screened, and seven target hits were identified. Herein we report the identification, synthesis, and biological testing of two pyrazolylthiazole-tethered peptide hits and their analogs. Biological assays showed that these compounds were able to suppress the sPLA2-IIA-integrin interaction and sPLA2-IIA-induced migration of monocytic cells and that the blockade of the sPLA2-IIA-integrin binding was specific to sPLA2-IIA and not to the integrin.


Subject(s)
Group II Phospholipases A2/metabolism , Integrin alphaVbeta3/metabolism , Amino Acid Sequence , Binding Sites , Group II Phospholipases A2/antagonists & inhibitors , Integrin alphaVbeta3/antagonists & inhibitors , Molecular Docking Simulation , Peptide Library , Peptides/chemistry , Peptides/pharmacology , Protein Binding/drug effects , Protein Structure, Tertiary , Structure-Activity Relationship , Thiazoles/chemistry
2.
Beilstein J Org Chem ; 5: 82, 2009 Dec 23.
Article in English | MEDLINE | ID: mdl-20300473

ABSTRACT

The electron affinities (EAs) of a training set of 19 metal-salen compounds were calculated using density functional theory. Concurrently, the experimental reduction potentials for the training set were measured using cyclic voltammetry. The EAs and reduction potentials were found to be linearly correlated by metal. The reduction potentials of a test set of 14 different metal-salens were then measured and compared to the predicted reduction potentials based upon the training set correlation. The method was found to work well, with a mean unsigned error of 99 mV for the entire test set. This method could be used to predict the reduction potentials of a variety of metal-salen compounds, an important class of coordination compounds used in synthetic organic electrochemistry as electrocatalysts.

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