Anna M. Sokòl

This paper introduces a machine learning framework for therapeutic antibody design that integrates computational methods with experimental validation, resulting in significantly improved binding affinity for multiple targets.

The paper profiles subcellular localization of nuclear-encoded mitochondrial gene products in zebrafish by analyzing RNA from different cellular fractions and quantifying transcriptomic changes in a chchd4a-/- mutation.

The paper identifies insulin-independent modulators of glucose metabolism using a zebrafish model and finds androgen receptor antagonists reduce fasting glucose levels in insulin mutants.

This study identifies Myh10 as critical for alveolar development and ECM remodeling, linking its deficiency to pulmonary disease and emphysema.