Research

$ ./mechanistic-biophysics --integrate force-field AI

 [ FORCE FIELD / MD ]                    [ AI / ML ]
 U(r) = U_bonded + U_nonbonded              [o_o]
          F = -grad U                        /|_|\
               \                              /
                +-------------+--------------+
                              v
                    [ PROTEIN ENSEMBLES ]
                              v
        [ INTERACTIONS -> FUNCTION -> DISEASE ]
 [ PROTEIN INTERACTION MODES ]

 CONFORMATIONAL ENSEMBLE
 states: ~\/\~   ~~\_/~   ~/\/~~
                 |
         +-------+-------+
         ↓       ↓       ↓
     SPECIFIC  DYNAMIC  CONDENSATE
       ~\/\~    ~\/\~   ( ~\/\~  ~~ )
        ||      . . .   ( ~~  ~\_/~ )
      [====]   ~~\_/~   ( ~/\/~~  ~~ )

status: resolving molecular mechanisms across biological scales

[research@disease]$

Disease-Relevant Biophysics

Mechanistic studies linking protein dynamics, molecular interactions, and biomolecular organization to disease and regulation.

01NeurodegenerationProtein structure, interactions, and condensate organization3 papers
02Cancerp53 regulation and disease-associated protein mechanisms2 papers
03Post-Translational ModificationPhosphorylation-dependent regulation of protein ensembles1 paper
04ImmunologyBacterial immune evasion and viral protease dynamics2 papers
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[research@dynamics]$

Protein Dynamics & Interactions

How conformational ensembles and molecular interactions regulate recognition, catalysis, phase behavior, and biological function.

01Phase SeparationStructure, molecular grammar, and condensate dynamics3 papers
02p53Dynamic interactions and phosphorylation-regulated ensembles2 papers
03Viral & Pathogen-Associated ProteinsEnzyme inhibition and conformational dynamics2 papers
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[research@simulation]$

Multiscale Molecular Modeling

Physics-based and data-informed methods for accurate, efficient simulation of folded, disordered, and assembling biomolecular systems.

01Atomistic Model DevelopmentProtein-water balance and transferable interactions1 paper
02Enhanced SamplingReplica exchange, multiscale acceleration, and complex conformational dynamics3 papers
03Coarse-Grained Model DevelopmentTransferable force fields for dynamic protein systems2 papers
04Theory & Off-Lattice ModelingValency, molecular organization, and phase behavior1 paper
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[research@ml]$

MD + ML

Interpretable and physics-aware learning approaches for biomolecular sequence, molecular interactions, conformational ensembles, and function.

01Protein Language ModelsEvolutionary fitness and molecular grammar of disordered proteins1 paper
02MOFF2Machine-learning-integrated, physics-grounded protein modeling1 paper
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