TmAlphaFold database

TmAlphaFold database evaluates and visualizes AlphaFold2-predicted alpha-helical transmembrane protein structures to assess membrane placement and structural correctness.

Key Features:

• Integration with AlphaFold2 Predictions: Leverages AlphaFold2 to generate 3D structural predictions for thousands of alpha-helical membrane proteins.
• Visualization and Evaluation Tools: Employs TMDET (TransMembrane Domain Evaluation Tool), a geometry-based method to visualize the most probable membrane plane relative to predicted structures.
• Structural Correctness Assessment: Calculates parameters that assess realistic positioning of proteins within the membrane and conformity of predicted 3D structures to biological and physical constraints.

Scientific Applications:

• Structural Biology Research: Facilitates analysis of protein–membrane interactions and structural dynamics of transmembrane proteins using AF2 predictions and membrane placement evaluation.
• Drug Discovery: Supports identification and structural characterization of membrane protein targets by providing evaluated AF2 models with membrane positioning metrics.
• Biophysical Studies: Enables investigations into biophysical properties of membrane proteins informed by geometry-based membrane placement and structural correctness parameters.

Methodology:

Uses AlphaFold2 predictions, applies the TMDET geometry-based method to determine the probable membrane plane, and computes parameters assessing realistic protein positioning within the membrane.