L1000W Database

L1000W: Pure Data, High Efficiency Redefining data standards for computational chemistry to drive innovation

Advantages
Massive Scale

Features 10 million molecules, setting a new industry benchmark.

Redundancy-Free & High Purity

All molecules are unified in SMILES format, eliminating duplicate data to maximize computational efficiency.

Intelligent Noise Reduction

Rigorous RDKit-based screening removes unsuitable molecules to guarantee data quality.

High Compatibility

Standardized data formats ensure seamless integration with various computational chemistry and AI-driven drug discovery (AIDD) software.

AnyMol Natural Product Database
Computational Chemistry Research
Enhances efficiency in virtual screening, molecular docking, and ADMET property prediction.
AI Drug Discovery
Facilitates high-quality machine learning model training to improve drug discovery success rates.
Molecular Screening Optimization
Enables precise screening and avoids redundancy to streamline the lead discovery pipeline.
Database Construction Workflow
TargetMol | Target Loading
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