Amy E. Keating

The paper screens a proteome-wide peptide library to identify LC3B binding determinants, revealing exceptions to the canonical LIR motif and highlighting sequence features that influence binding affinity and specificity.

This paper introduces seed-guided diffusion-based design to improve structural diversity and target contact in antitoxin protein binders, achieving functional binders with enhanced selectivity.

This paper introduces PottsMPNN, a model trained to generate Potts energy functions for protein design, showing improved sequence generation and energy prediction over native sequence recovery.

This study develops CHANCLA, a multiomic platform to screen oncohistones, revealing their impact on chromatin and cell fate through functional and structural analyses.

The paper evaluates how AlphaFold2-Multimer, AlphaFold3, Boltz-1, and Chai-1 predict protein-peptide complex structures using experimentally resolved datasets, finding biases and insights into MSA usage.

The paper investigates two STAT5B mutations in T cell leukemias, showing one causes gain-of-function and the other loss-of-function, with distinct impacts on immune cell populations and transcriptional activity.

PairK improves prediction of biologically relevant SLiM interactions by quantifying motif conservation in disordered regions more effectively than existing methods.

The paper develops cell body-targeted calcium indicators to improve signal fidelity in one-photon imaging of neural activity in live mice and zebrafish.