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Biological Foundation Models

HelixFold 3

Baidu PaddleHelix
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CategoryBiological Foundation Models
CompanyBaidu PaddleHelix
PriceFree Open Source / Enterprise Support
StatusStatus not confirmed
AvailabilityAvailable globally on GitHub
Last checked20/09/2026
FeaturesUnified prediction of protein-ligand, protein-nucleic acid, and multi-chain assemblies, High-throughput distributed inference accelerated by PaddleHelix engine, Includes specialized chemical bond loss for precise covalent drug interactions, Openly accessible web server and downloadable weights for enterprise deployment
Entry typeAI Model / Web Server
Access modeOpen Source & Web Service
AI roleStructural Complex Modeling
Input dataNot recorded
Output dataNot recorded
Licence conditionsApache 2.0 (code) / Model License
Commercial eligibilityOpen research access with enterprise private deployment
Compute requirements1x NVIDIA A100 or Kunlunxin AI accelerators
ValidationNot recorded
TypeAll-atom structure prediction model
Intended useNot recorded
CompatibilityNot recorded
ManufacturerBaidu Inc.
Biological applicationTarget-ligand interaction modeling, RNA-protein complex prediction, and covalent drug discovery
Research workflowInput biomolecular sequence and SMILES -> generate 3D complex coordinates and confidence scores
Evidence levelPreprint and blind benchmark evaluation (2024)
Integration evidencehttps://github.com/PaddlePaddle/PaddleHelix
Laboratory handoffStructures inform cryo-EM model fitting and crystallographic phasing