Foundation Models for Science
AI-Powered Capabilities for Drug Discovery
Small Molecule Drug Discovery
Peptide Drug/Biologics Discovery
mRNA Therapeutics Discovery
Peptide Drug/Biologics Discovery
Key problems
- AlphaFold2 relies on MSA searches, which are time-consuming and limited in effectiveness when dealing with insufficiently homologous sequences or predicting structures of very long proteins
- Many existing protein structure prediction algorithms are only coompatible with foreign hardware
- Offers superior performance and faster predictions, supporting protein structure prediction for exceptionally long sequences, up to 6.6k in length.
- Possesses proprietary technology and is compatible with domestically manufactured software and hardware for enhanced performance
Protein Structure PredictionSolutions
PaddleHelix's protein structure prediction service provides effective and precise solutions for a variety of situations. Whether working with proteins that have numerous or limited similar sequences, or dealing with single-chain or multi-chain structures, our service is versatile. It leverages the strengths of different models to achieve a balance between speed and accuracy. Moreover, users can directly compare results with various methods, including the original AlphaFold2, offering more choices and expedited outcomes. In essence, our protein structure prediction service is tailored to efficiently and accurately address the requirements of diverse protein structure prediction scenarios.
- Protein sequence（Prediction for extreme long protein seuqence, Protein complex prediction）
- HelixFold
- HelixFold-Single
- Protein Complex Prediction
- 3-dimentional protein structure（Preidiction within seconds, Achieves higher accuracy in scenarios such as antigen-antibody interactions and peptide-protein interaction）
Case Study
the College of Agronomy at Sichuan Agricultural University
The team from the College of Agronomy at Sichuan Agricultural University utilized Baidu's protein structure prediction model deployed in the Chengdu Supercomputer Center to predict the 3D structure of the wheat bHLH transcription factor PGS1 protein. This approach facilitated rapid and efficient analysis of its corresponding function, leading to the successful elucidation of the molecular mechanism by which PGS1 regulates seed development and influences yield. This achievement provides a theoretical basis for the cultivation of high-yield and high-quality wheat materials.
Key problems
Peptide Drug DesignSolutions
