P
Punit Upadhyaya
Researcher at Ohio State University
Publications - 17
Citations - 513
Punit Upadhyaya is an academic researcher from Ohio State University. The author has contributed to research in topics: Cancer research & Immune system. The author has an hindex of 7, co-authored 10 publications receiving 445 citations.
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Journal ArticleDOI
Inhibition of Ras Signaling by Blocking Ras–Effector Interactions with Cyclic Peptides
Punit Upadhyaya,Ziqing Qian,Nicholas G. Selner,Sarah R. Clippinger,Zhengrong Wu,Roger Briesewitz,Dehua Pei +6 more
TL;DR: The results demonstrate the feasibility of developing cyclic peptides for the inhibition of intracellular protein-protein interactions and of direct Ras inhibitors as a novel class of anticancer agents.
Journal ArticleDOI
Screening Bicyclic Peptide Libraries for Protein–Protein Interaction Inhibitors: Discovery of a Tumor Necrosis Factor-α Antagonist
TL;DR: Screening of a bicyclic peptide library against tumor necrosis factor-α (TNFα) identified a potent antagonist that inhibits the TNFα-TNF α receptor interaction and protects cells from TNF α-induced cell death.
Journal ArticleDOI
Discovery of a Direct Ras Inhibitor by Screening a Combinatorial Library of Cell-Permeable Bicyclic Peptides
TL;DR: The generality of the bicyclic approach is tested by synthesizing a combinatorial library of 5.7 × 106 bicyclic peptides featuring a degenerate sequence in the first ring and an invariant cell-penetrating peptide in the second ring that produced a moderately potent and cell-permeable K-Ras inhibitor.
Journal ArticleDOI
Inhibition of Ras-Effector Interaction by Cyclic Peptides.
TL;DR: A combinatorial library of 6 × 106cyclic peptides was synthesized in the one bead-two compound format, with each bead displaying a unique cyclic peptide on its surface and a linear peptide encoding tag in its interior.
Book ChapterDOI
Synthesis and screening of one-bead-one-compound cyclic peptide libraries.
TL;DR: This method allows a single researcher to synthesize and screen up to ten million cyclic peptides and identify the most active ligand(s) in ~1 month, without the time-consuming and expensive hit resynthesis or the use of any special equipment.