Molecular Cell Biomechanics Laboratory University of California, Berkeley 2026

Abstract

“The Molecular Cell Biomechanics Laboratory studies biological systems across scales, combining mechanobiology, molecular modeling, and data-driven methods to better understand how structure, force, and dynamics influence function.”

Modeling how physical forces shape living systems

Research Areas

Cell & Nuclear Biomechanics

Cell and nuclear mechanics, force transmission across the nuclear envelope, and structure-function relationships at the cell-nucleus interface.

Microbiome & Bacterial Community Biomechanics

Biomechanics and multiscale modeling of host-microbe systems, bacterial communities, gut biogeography, and ecological dynamics.

Statistical Learning & Biological Language Processing

Statistical learning, biological language processing, and model-driven discovery across sequence, genome, and microbiome data.

References

  1. SIMBA-GNN: mechanistic graph learning for microbiome prediction. npj Systems Biology and Applications (2025).
  2. Semi-supervised Retrieval of Functional Residues Through the Integration of Protein Language Models and Gene Ontology Data. (2025).
  3. Systems biology and microbiome innovations for personalized diabetic retinopathy management. npj Systems Biology and Applications (2025).
  4. Expanding the HP1a-binding consensus and molecular grammar for heterochromatin assembly. Nucleic Acids Research (2025).
  5. Computational drug design in the artificial intelligence era: A systematic review of molecular representations, generative architectures, and performance assessment. Pharmacological Reviews (2025).
  6. Demographic drivers of gut microbiome diversity. AMB Express (2025).
  7. Emerging mechanomedicines informed by mechanotransduction along the integrin–cytoskeleton–nucleus axis. APL Bioengineering (2025).
  8. KODA: An Agentic Framework for KEGG Orthology-Driven Discovery of Antimicrobial Drug Targets in Gut Microbiome. (2025).
  9. SIMBA-GNN: Simulation-augmented Microbiome Abundance Graph Neural Network. (2025).
  10. Block ratio optimized cationic polyacrylamides for enhanced nitrate rejection under applied potential. Chemical Engineering Journal (2025).
  11. Role of pore dilation in molecular transport through the nuclear pore complex: Insights from polymer scaling theory. PLoS Computational Biology (2025).
  12. Meta Biome: a multiscale model integrating agent-based and metabolic networks to reveal spatial regulation in gut mucosal microbial communities. mSystems (2025).
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