Molt5 Small
M
Molt5 Small
Developed by laituan245
MOLT5-small is a molecular and natural language conversion model based on a pre - trained model, which can realize the mutual conversion between molecular structures and natural language descriptions.
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Release Time : 5/3/2022
Model Overview
This model is mainly used in the field of chemoinformatics to achieve bidirectional conversion between molecular structures (such as SMILES representation) and natural language descriptions, with high practicality and scalability.
Model Features
Bidirectional conversion between molecules and natural language
It can realize the bidirectional conversion between molecular structure representations and natural language descriptions
Based on T5 architecture
It adopts the T5 conditional generation model architecture and has good generation ability
Highly practical
It can be directly applied to fields such as chemoinformatics research and drug discovery
Model Capabilities
Molecular structure description generation
Molecular structure prediction
Chemical information extraction
Use Cases
Chemoinformatics
Molecular structure description
Generate natural language descriptions based on molecular structures
Accurate molecular feature descriptions can be generated
Molecular structure prediction
Predict molecular structures based on natural language descriptions
Molecular structures that meet the descriptions can be generated
Drug discovery
Drug molecule description
Automatically generate feature descriptions of drug molecules
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