RBO Aleph
RBO Aleph: Integrated Protein Structure Prediction Platform
RBO Aleph integrates template-based modeling, protein contact prediction, and ab initio structure prediction to generate three-dimensional protein structures, including targets lacking identifiable structural templates.
Key Features:
- Residue–Residue Contact Prediction: Combines evolutionary and physicochemical information to predict intramolecular residue contacts, improving structural accuracy.
- Hybrid Modeling Strategy: Automatically selects between template-based modeling and ab initio prediction based on template availability for the target protein sequence.
- Conformational Space Exploration: Utilizes predicted contact constraints to guide conformational sampling during structure prediction.
- Model Evaluation Outputs: Generates predicted structures, residue contact maps, and backbone error estimates for structural assessment.
Scientific Applications:
- Protein Structure Determination: Predicts tertiary structures for proteins with or without homologous structural templates.
- Contact Prediction Benchmarking: Demonstrated performance in CASP11 (2014) for ab initio structure and contact prediction.
Methodology:
RBO Aleph applies a hybrid framework combining template-based modeling with ab initio folding guided by residue–residue contact predictions derived from evolutionary covariation and physicochemical features. Predicted contacts constrain conformational search to optimize three-dimensional protein structure models.
Topics
Details
- Tool Type:
- command-line tool
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 12/18/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Mabrouk M, Putz I, Werner T, Schneider M, Neeb M, Bartels P, Brock O. RBO Aleph: leveraging novel information sources for protein structure prediction. Nucleic Acids Research. 2015;43(W1):W343-W348. doi:10.1093/nar/gkv357. PMID:25897112. PMCID:PMC4489312.