Ana Cristina Chang-Gonzalez

AltereGO fuses protein language models and structure representations to predict molecular functions, achieving better performance than individual models and some existing methods.

The paper develops a compound prioritization strategy using a multi-layer perceptron trained on docked poses from multiple docking approaches to identify putative binders for the nuclear receptor LRH-1.

The paper develops classifiers to distinguish functional and trafficking effects of KCNQ1 variants, improving variant interpretation for LQTS and channelopathies.

This study identifies a small molecule, VU0494372, that enhances KCNQ1 expression and trafficking, offering a potential therapeutic approach for LQTS.

The paper compares the mechanical behavior of two TCRs recognizing the same pMHC using MD simulations, showing differences in load response due to dynamic allostery.