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  1. GME_tutorials GME_tutorials Public

    Tutorials for non-Markovian dynamic models (qMSM and IGME) to study protein dynamics.

    Jupyter Notebook 23 1

  2. featuredock featuredock Public

    FeatureDock is a protein-ligand docking software guided by physicochemical feature-based local environment learning using Transformer

    Jupyter Notebook 21 7

  3. graphvampnets graphvampnets Public

    GraphVAMPnets combines graph neural networks with variational approach for Markovian process (VAMP) theory to identify the slow collective variables of the self-assembly processes.

    Python 11 5

  4. ts-dart ts-dart Public

    TS-DART identifies transition states of protein conformational changes from MD simulations using hyperspherical embeddings in the latent space.

    Jupyter Notebook 9 2

  5. IGME IGME Public

    Integrative Generalized Master Equation (IGME): A Theory to Study Long-timescale Biomolecular Dynamics via the Integrals of Memory Kernels

    Python 7 1

  6. memnets memnets Public

    MEMnets identifies slow CVs of biomolecular dynamics by minimizing their time-integrated memory kernels.

    Jupyter Notebook 3 2