Discusses challenges in comparing non-Euclidean data, proposing a Laplacian-based solution for graph alignment and exploring optimal transport for graph distance computation.
Explores a unified framework for understanding and evaluating generative sequence models of DNA/RNA or Protein, covering topics like coevolution, conservation, and different models such as GREMLIN and BERT.
Explores the alignment, viscosity, elastic constants, phases, and unique properties of liquid crystals, including their reflection of light and visualization techniques in microscopy.
Explores the importance of protein-ligand interactions, focusing on binding affinities and energetic landscapes, with implications for drug development and specificity.
Explores the structure and function of proteins, including defence, structural, regulatory, and other types, and discusses the concept of protein machines in cell function.
