Advances in molecular-replacement procedures: the REVAN pipeline.

Area of Science:

• Structural biology
• Computational biology
• Biophysics

Background:

• Protein structure determination is crucial for understanding biological function.
• Molecular replacement (MR) is a key technique for solving protein structures.
• Existing MR pipelines like REVA are less effective with low sequence identity.

Purpose of the Study:

• To introduce the REVAN pipeline, an advanced successor to REVA.
• To enhance protein structure solution via MR, particularly in low sequence identity scenarios.
• To provide a robust computational tool for structural biologists.

Main Methods:

• REVAN integrates multiple programs: REMO09, REFMAC, DM, DSR, VLD, free lunch, Coot, Buccaneer, and phenix.autobuild.
• It employs iterative cycles of refinement (REFMAC), density modification (DM, VLD), and model building (Coot).
• Vector refinement and mutation strategies are utilized to improve model accuracy.

Main Results:

• REVAN effectively solves protein structures even with low sequence identity (<0.30).
• The pipeline successfully solved most test structures from DiMaio et al. (2011) without energy-guided programs.
• Vector refinement and mutation cycles significantly improve electron density maps.

Conclusions:

• REVAN represents a significant advancement in automated protein structure solution via MR.
• The pipeline offers a powerful and efficient approach for challenging structural biology problems.
• REVAN broadens the applicability of MR to a wider range of protein targets.