TP-MAP

TP-MAP analyzes 1D and 2D thermal profiling datasets to identify drug and metabolite targets across the proteome.

Key Features:

• Integrated 1D and 2D analysis: Supports analysis of both one-dimensional (1D) and two-dimensional (2D) thermal profiling datasets.
• Hit candidate identification: Identifies candidate molecular targets that exhibit significant stability shifts under thermal profiling conditions.
• Target exploration and database crosslinking: Enables intersection and crosslinking of identified hits with public databases for contextual annotation.
• Protein stability change detection: Detects changes in protein stability induced by small molecules or other interacting agents.
• Proteome-wide target identification: Performs target identification across the proteome to support proteomic-scale analyses.

Scientific Applications:

• Drug discovery: Supports identification of molecular targets for therapeutic intervention by analyzing thermal stability shifts caused by drugs.
• Metabolomics research: Aids identification of metabolite–protein interactions across the proteome.
• Proteome-wide interaction mapping: Enables mapping of drug and metabolite interactions at proteome scale to study protein–small molecule interactions.

Methodology:

Performs systematic analysis of thermal profiling datasets to detect changes in protein stability induced by small molecules or other interacting agents, leveraging both 1D and 2D data to enhance resolution and accuracy of target identification.