steven+zheng - Available Technologies | Rutgers University Innovation Ventures

Search Results - steven+zheng

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Biosensors for Real-Time Antimicrobial Susceptibility Testing
(A) A schematic of the biosensor. (B) Real time detection of the effect of antibiotics (Ampicillin) on the growth of E. coli. (C) and (D) Real time detection of the effect of antifungal agents Miconazole and Amphotericin B on the growth of yeast. Invention Summary: Antimicrobial resistance (AMR) is becoming a major global-health concern. Traditional...
Published: 10/12/2022   |   Inventor(s): Yicheng Lu, Pavel Reyes, Steven Zheng, Andrew Zheng, Keyang Yang
Keywords(s): Biosensor
Category(s): Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Diagnostics, Technology Classifications > Research Tools, Technology Classifications > Electronics/Semiconductor, Technology Classifications > Infectious Disease
A Humanized Yeast System for mTOR Kinase Inhibitor Screening and Studies
Invention Summary: mTOR kinase is a highly conserved central regulator of cell growth and metabolism, and a key cancer drug target. Numerous mTOR kinase inhibitors have been developed but have not been approved by FDA. A new screening tool for mTOR kinase inhibitors will facilitate mTOR therapeutic development and related pharmacology studies. Rutgers...
Published: 9/9/2022   |   Inventor(s): Steven Zheng
Keywords(s): Drug Discovery/Screening
Category(s): Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Diagnostics
A Novel Diagnostic Assay for Predicting Patients’ Resistance to mTOR Kinase Inhibitors
Invention Summary: Mechanistic Target of Rapamycin (mTOR) is a highly conserved serine/thereonine protein kinase that plays a crucial role as part of two distinct kinase complexes, mTOR1C and mTOR2C, to regulate cell growth and metabolism. Abnormal activation of mTOR has been implicated in the pathogenesis of several cancers, type 2 diabetes, obesity,...
Published: 10/21/2024   |   Inventor(s): Steven Zheng
Keywords(s): Proteins
Category(s): Technology Classifications > Healthcare & Life Sciences, Technology Classifications > Diagnostics