PyPI
elkins-lab/synth-pdb
Generate realistic PDB files with mixed secondary structures for testing, education and bioinformatics tool development. Jupyter Notebook tutorials are available to visualize the concepts..
MIT2026年9月9日 · 指标 2.10.0
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#computational-biophysics
公开记录中带有此标签的全部仓库——标签来自其 GitHub 主题或软件包注册表发布的关键词。健康度量遵循与记录其余部分相同的版本化方法论。
8 条记录
PyPI
elkins-lab/diff-biophys
Differentiable biophysical modeling in JAX (SAXS, NMR, CD), with Jupyter Notebook examples.
MIT2026年9月9日 · 指标 2.10.0
PyPI
elkins-lab/synth-saxs
A lightweight Python library for simulating Small-Angle X-ray Scattering (SAXS) profiles from protein coordinates, with Jupyter Notebook examples.
MIT2026年9月9日 · 指标 2.10.0
PyPI
elkins-lab/resonance-flow
JAX-native differentiable protein folding framework integrating experimental NMR constraints (RDCs) and biophysical "self-correction." Several Jupyter Notebooks visualize the concepts.
MIT2026年9月9日 · 指标 2.10.0
PyPI
elkins-lab/synth-nmr
NMR spectroscopy calculations for protein structures. Jupyter Notebook tutorials are available to visualize the concepts.
MIT2026年9月9日 · 指标 2.10.0
PyPI
elkins-lab/diff-ensemble
Differentiable VAE framework for predicting protein structural ensembles (IDPs) consistent with SAXS and NMR data. Built on JAX/Flax.
MIT2026年9月9日 · 指标 2.10.0
PyPI
elkins-lab/synth-cryo-em
Generate realistic synthetic 3D Cryo-EM densities from structural models for testing algorithms and training ML models.
无许可证2026年9月9日 · 指标 2.10.0
PyPI
elkins-lab/synth-dynamics
Fast Langevin dynamics engine using the Anisotropic Network Model (ANM) for rapid protein conformational ensemble generation.
MIT2026年9月9日 · 指标 2.10.0