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#computational-biophysics

Todos los repositorios del registro público que llevan esta etiqueta, procedente de sus topics de GitHub o de las palabras clave que publican sus registros de paquetes. La salud se mide con la misma metodología versionada que el resto del registro.

9 registros
Con la etiqueta «computational-biophysics»Ordenado por índice de salud
PyPI
67Moderadoíndice de salud
elkins/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..
Python★ 1↓ 3758/mes15 jul 2026
MIT15 jul 2026 · métricas 1.13.0
PyPI
63Moderadoíndice de salud
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..
Python★ 117 jul 2026
MIT17 jul 2026 · métricas 1.13.0
PyPI
61Moderadoíndice de salud
elkins-lab/synth-saxs
A lightweight Python library for simulating Small-Angle X-ray Scattering (SAXS) profiles from protein coordinates, with Jupyter Notebook examples.
Python★ 1↓ 3502/mes17 jul 2026
MIT17 jul 2026 · métricas 1.13.0
PyPI
60Moderadoíndice de salud
elkins-lab/diff-biophys
Differentiable biophysical modeling in JAX (SAXS, NMR, CD), with Jupyter Notebook examples.
Python★ 017 jul 2026
MIT17 jul 2026 · métricas 1.13.0
PyPI
59Moderadoíndice de salud
elkins-lab/synth-nmr
NMR spectroscopy calculations for protein structures. Jupyter Notebook tutorials are available to visualize the concepts.
Python★ 217 jul 2026
MIT17 jul 2026 · métricas 1.13.0
PyPI
56Moderadoíndice de salud
elkins-lab/diff-ensemble
Differentiable VAE framework for predicting protein structural ensembles (IDPs) consistent with SAXS and NMR data. Built on JAX/Flax.
Python★ 1↓ 158/mes17 jul 2026
MIT17 jul 2026 · métricas 1.13.0
PyPI
56Moderadoíndice de salud
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.
Python★ 117 jul 2026
MIT17 jul 2026 · métricas 1.13.0
PyPI
52Moderadoíndice de salud
elkins-lab/synth-cryo-em
Generate realistic synthetic 3D Cryo-EM densities from structural models for testing algorithms and training ML models.
Python · Jupyter Notebook★ 217 jul 2026
Sin licencia17 jul 2026 · métricas 1.13.0
PyPI
48En riesgoíndice de salud
elkins-lab/synth-dynamics
Fast Langevin dynamics engine using the Anisotropic Network Model (ANM) for rapid protein conformational ensemble generation.
Python · Shell★ 117 jul 2026
MIT17 jul 2026 · métricas 1.13.0