From Molecules to Sequences,
Bio-computing Made Simple
An integrated experimental entry point built around AI biomedical R&D. Explore tools, read documentation, access datasets, and find collaboration opportunities — all in one place.
4+
Core Capability Modules
1W+
Molecular Search Sample Scale
Java
Engineering-Friendly SDK
DNA
Sequence Feature & Retrieval
Bio-computing Capability Matrix
Designed around structured R&D workflows: from molecular representation, sequence features, and vectorized retrieval to application integration.
DNA Toolkit
An engineering entry point for sequence feature extraction, alignment and analysis.
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Molecular Search
Supporting SMILES vector representations and similarity retrieval workflows.
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Documentation & Resources
Download the complete resource package to quickly understand the overall solution.
AI Biotech White Paper
Covers platform capabilities, technical roadmap and practical scenarios.
Open ai_biotech.pdfDrug Discovery Roadmap
The former "Drug Discovery" page has been merged into a single-page view, showing phased construction goals.
Molecular Representation Standardization
Unify SMILES / graph structure inputs and streamline the feature engineering pipeline.
Multi-modal Screening
Integrate molecular structure and biological sequence information for candidate screening.
Closed-loop R&D Evaluation
Establish an integrated experimental loop of retrieval, evaluation, and feedback iteration.
Contact Us
If you are working on AI + biomedical projects, we welcome communication, collaboration, and co-creation.
Bio-computing Learning & Exchange
Looking forward to building faster, more stable, and more practical AI biomedical products together with you.