How can we explore beyond one protein structure?
Geometric sampling methods for protein loops, fragments, and disordered regions, coupled to all-atom structural validation.
Protein conformational samplingSikao Guo, Ph.D.
Computational biophysicist · Research software engineer
I develop computational methods and open-source software to understand how proteins move, interact, and assemble.
Protein modeling · C++ / Python · High-performance computing

Research Engineer · Inria
Research directions
Geometric sampling methods for protein loops, fragments, and disordered regions, coupled to all-atom structural validation.
Protein conformational samplingMechanistic models linking molecular interactions and spatial organization to clathrin and HIV lattice dynamics.
Biomolecular self-assemblyParallel simulation engines, automated model-building workflows, and consistent interfaces that other researchers can use.
Reusable computational methodsOpen-source software
Generate PyMOL, VMD, and web applications from one reusable specification.
9 structural-biology tools · 3 platforms
Scale particle-based reaction-diffusion simulation while checking distributed numerical behavior.
≈90× on 96 CPUs · 20,000-particle benchmark
Turn PDB/mmCIF structures into coarse-grained models and connect simulation, analysis, and visualization.
44,000+ structures · 3–720-subunit assemblies
Selected publications
About me
My work has grown from mechanochemical models of molecular motors to biomolecular self-assembly, parallel simulation, and protein conformational sampling. Across these problems, I connect method development with numerical validation and reusable software.
More about my backgroundResearch & collaboration
I’m interested in molecular-modeling methods, biomolecular simulation, and reusable scientific software.