Hao‐Bo Guo

The paper uses AlphaFold2 and molecular dynamics simulations to model an intrinsically disordered protein, showing that its conformations are more variable compared to well-folded proteins.

The paper introduces a probability landscape approach to analyze gene network changes during yeast replicative aging, revealing distinct roles for essential and hub proteins.

This study compares convolutional and capsule neural networks for classifying microfluidic images of dividing yeast cells, finding convolutional networks more accurate overall while capsule networks excel at specific categories.

The paper introduces NetPAS, a method that uses network topology to assess gene set associations, revealing functional terms missed by existing tools.