An automated data processing and analysis pipeline for transmembrane proteins in detergent solutions

Area of Science:

• Structural biology
• Biophysics
• Computational biology

Background:

• Small-angle X-ray scattering (SAXS) is routinely used for characterizing transmembrane proteins (MPs) in solution.
• SAXS provides low-resolution shapes and parameters, often integrated with high-resolution data in hybrid modeling.
• Computational procedures for SAXS-based structural modeling of MPs require simplification.

Purpose of the Study:

• To develop an automated pipeline for preliminary SAXS analysis and initial structural reconstruction of MPs.
• To integrate the pipeline with the ISPyB laboratory information management system for streamlined high-throughput studies.
• To facilitate deeper insights into protein-detergent complex structures.

Main Methods:

• An automated pipeline was developed and integrated with ISPyB.
• The pipeline queries ISPyB for a priori information.
• It estimates model-free SAXS parameters and generates preliminary models using ab initio, high-resolution-based, or hybrid methods.

Main Results:

• The pipeline automates preliminary SAXS analysis and first-step structural modeling of MPs.
• Results are inspectable online via the ISPyB interface.
• Demonstrated successful modeling of Aquaporin0 and T2 channels, showing improved resolution with increased a priori information.

Conclusions:

• The automated pipeline streamlines SAXS analysis for transmembrane proteins.
• It facilitates hybrid modeling approaches by providing preliminary structural models.
• Increased a priori information enhances model resolution and structural insights into protein-detergent complexes.