Projects | Katie Amberg-Johnson | Professional Portfolio

Predicting resistance to small molecule kinase inhibitors 2025

We report on a physics-based computationally driven lead identification approach that identified structurally unique imidazo pyrazoles as reversible and wild-type-sparing EGFR TKIs of classical mutations.

drug resistance computational prediction EGFR

Ubiquitin-specific protease 7 inhibitors reveal a differentiated mechanism of p53-driven anti-cancer activity. 2024

We describe the discovery of potent and specific USP7 inhibitors exemplified by FX1-5303.

acute myeloid leukemia USP7 p53 mechanism-of-action

Discovery of a Novel Mutant-Selective Epidermal Growth Factor Receptor Inhibitor Using an In Silico Enabled Drug Discovery Platform 2024

We report on a physics-based computationally driven lead identification approach that identified structurally unique imidazo pyrazoles as reversible and wild-type-sparing EGFR TKIs of classical mutations

non-small cell lung cancer EGFR drug discovery

GSK Immunohack: TwoBirds 2018

I led a team in the GSK Immunohack challenge whose goal was to increase vaccinations. We won!

Hackathon Vaccinations

Vacation Contamination: Predicting Beach Water Pollution 2018

I used Gradient Boosted Decision Trees to create a predictive model for bacterial pollution based on State of Hawaii water sampling data.

Data Science

Novel antimalarial drug target identification 2016

To identify the molecular target of actinonin, we selected resistant mutants in Toxoplasma gondii that could survive high amounts of drug.

Malaria Actinonin FtsH1

Antimalarial drug screening and optimization 2015

A cell-based screen to identify small molecules that inhibited Plasmodium falciparum plastid organelle biogenesis.

Malaria Apicoplast Replication

Structural Characterization of σ54 Core-Binding Domain Truncation 2012

I worked on creating a variant of the Core-Binding Domain of σ54 that lacked the C-terminal helix.

σ54 AMGEN Scholars Program

Use of Molecular Tweezers to Study the Effect of Applied Force on σ54 Core-Binding Domain 2012

I performed a molecular tweezers experiment on the transcription initiation protein, σ54, to determine the number of unfolding events.

Molecular Tweezers σ54