https://github.com/baaihealth/opencomplex2

initial repo

https://github.com/baaihealth/opencomplex2

Science Score: 49.0%

This score indicates how likely this project is to be science-related based on various indicators:

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
    Found .zenodo.json file
  • DOI references
    Found 1 DOI reference(s) in README
  • Academic publication links
    Links to: biorxiv.org
  • Academic email domains
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.5%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

initial repo

Basic Info
  • Host: GitHub
  • Owner: baaihealth
  • Default Branch: main
  • Size: 746 KB
Statistics
  • Stars: 0
  • Watchers: 2
  • Forks: 0
  • Open Issues: 0
  • Releases: 0
Created about 1 year ago · Last pushed 9 months ago
Metadata Files
Readme

README.md

header

Will release soon, please stay tune.

OpenComplex2

OpenComplex2 (OC2) is a generative foundation model that bridges static structure prediction and dynamic ensemble modeling of biomolecular systems. Unlike traditional structure prediction methods that focus solely on a single conformation, OC2 can efficiently sample thermodynamically relevant conformational ensembles, providing insights into molecular function that static structures alone cannot capture.

overview

Key Features

📊 Equilibrium Ensemble Sampling * NMR-Validated Distributions: Accurately reproduces experimentally determined conformational ensembles * MD-Comparable Sampling: Achieves sampling quality comparable to millisecond-scale molecular dynamics simulations at a fraction of the computational cost

🧬 High-Accuracy Structure Prediction * State-of-the-Art Accuracy: Competitive with specialized structure prediction tools on standard benchmarks Ultra-Large Assemblies: Efficiently models assemblies exceeding 15,000 residues through symmetry-aware optimizations * Precise Small Molecule Modeling: Accurate stereochemical modeling of ligands and identification of multiple binding modes

Citation

If you find our open-sourced code & models helpful to your research, please also consider star🌟 and cite📑 this repo. Thank you for your support!

@article{opencomplex2025towards, title={Towards Unraveling Biomolecular Conformational Landscapes with a Generative Foundation Model}, author={OpenComplex Team}, journal={bioRxiv}, pages={2025--05}, year={2025}, publisher={Cold Spring Harbor Laboratory} }

Contact Information

For help or issues using the repos, please submit a GitHub issue.

For other communications, please contact Qiwei Ye (qwye@baai.ac.cn).

Owner

  • Name: baaihealth
  • Login: baaihealth
  • Kind: organization

GitHub Events

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Last Year
  • Push event: 1