TDEC Provides Scenario-Based Intelligent Compound Screening

Early-stage drug discovery requires consideration of physicochemical properties, pharmacokinetics, and potential toxicity. The TDEC AI Drug Navigation Assistant integrates physicochemical properties and ADMET prediction data available in the database. It automatically applies screening criteria tailored to different drug discovery scenarios, helping researchers explore candidate molecules that meet their research needs.

Researchers can select scenarios such as oral lead discovery, central nervous system penetration, safety and toxicity assessment, and metabolic stability optimization. Preset criteria support initial screening, while adjustable filter ranges allow researchers to refine their searches. Users can review the number of matching samples and access relevant sample information to guide candidate selection and plan subsequent experiments.

Key Features

Scenario-Based Screening

Links research needs to relevant screening criteria and supporting literature, helping researchers understand the screening rationale and focus their exploration of candidate molecules.

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Flexible Filter Settings

Provides preset criteria and adjustable ranges, allowing researchers to refine their searches according to the application context, research stage, and objectives.

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Starting from research needs, TDEC supports focused, data-informed exploration of candidate molecules to advance drug discovery.