Katerina Taškova

This paper introduces Martini3-NMR, a framework that integrates NMR data into coarse-grained simulations to improve the accuracy of protein conformational ensembles.

This study introduces NapshiftC, a neural network that uses NMR chemical shifts to improve coarse-grained simulations of intrinsically disordered proteins by incorporating secondary structure.

The paper evaluates engineered cell identity using CellScore, finding that iPS cells achieved high scores while other engineered cells had lower scores.