Vegfr-1 targeting peptides
OwnerWadih Arap, Renata Pasqualini +1inventors
InventorsWadih Arap, Renata Pasqualini, Ricardo J. Giordano
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OwnerWadih Arap, Renata Pasqualini +1inventors
InventorsWadih Arap, Renata Pasqualini, Ricardo J. Giordano
Estimating the term…
The present invention concerns novel methods of identifying peptide sequences that selectively bind to targets. In alternative embodiments, targets may comprise cells or clumps of cells, particles attached to chemicals compounds, molecules or aggregates, or parasites. In preferred embodiments, target cells are sorted before exposure to the phage library. The general method, Biopanning and Rapid Analysis of Selective Interactive Ligands (BRASIL) provides for rapid and efficient separation of phage that bind to targets, while preserving unbound phage. BRASIL may be used in preselection procedure to subtract phage that bind non-specifically to a first target before exposing the subtracted library to a second target. Certain embodiments concern targeting peptides identified by BRASIL and methods of use of such peptides for targeted delivery of therapeutic agents or imaging agents or diagnosis or treatment of diseases. Novel compositions comprising a first phase, second phase, target and a phage library are also disclosed.
1-87. (canceled)
A peptide of 10 amino acids or less in size, comprising a VEGFR-1 targeting sequence having at least three contiguous amino acids of CPQPRPLC (SEQ ID NO:6), wherein the peptide selectively binds to VEGFR-1.
The fusion construct of claim 24, wherein the selected protein is cytostatic proteins, cytocidal proteins, pro-apoptosis agents, anti-angiogenic agents, hormones, cytokines, growth factors, peptide drugs, antibodies, Fab fragments antibodies, antigens, receptor proteins, enzymes, lectins, MHC proteins, cell adhesion proteins and binding proteins.
A method of preparing a VEGFR-1 targeted construct comprising obtaining a peptide in accordance with claim 1 and attaching the peptide to a molecule to prepare the construct.
Dependencies are inferred from the claim text.