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Updated: Sep 18, 2025
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A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
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OPUS-BFactor: Predicting Protein B-Factor with Sequence and Structure Information.
Yulu Yang1, Ying Lv2, Zhenwei Luo1,2
1Multiscale Research Institute of Complex Systems, Fudan University, Shanghai 200433, China.
Molecules (Basel, Switzerland)
|June 27, 2025
Summary
OPUS-BFactor predicts protein B-factors using sequence and structure data. This tool accurately estimates protein flexibility and dynamics, outperforming existing methods.
Area of Science:
- Structural Biology
- Computational Biology
- Biophysics
Background:
- Protein B-factor (Debye-Waller temperature factor) quantifies atomic thermal fluctuations, indicating protein flexibility and dynamics.
- Accurate prediction of Cα atom B-factors is essential but remains a significant challenge in structural biology.
Purpose of the Study:
- To introduce OPUS-BFactor, a novel computational tool for predicting normalized protein B-factors.
- To develop a method that integrates sequence and structural information for enhanced B-factor prediction.
Main Methods:
- OPUS-BFactor utilizes a transformer-based module integrating sequence-level and pair-level features.
- It incorporates structural attributes from 3D protein structures and evolutionary profiles from the ESM-2 protein language model.
- Pair features are integrated as a bias term into the attention matrix derived from sequence-level features.
Main Results:
- OPUS-BFactor demonstrated superior performance in predicting normalized protein B-factors across three independent test sets.
- The tool significantly outperformed existing B-factor prediction methods, including those evaluated on recent CAMEO and CASP15 targets.
- The two-mode operation (sequence-only or structure-based) provides flexibility for diverse prediction scenarios.
Conclusions:
- OPUS-BFactor is a highly effective tool for predicting protein B-factors, offering valuable insights into protein flexibility, thermal stability, and regional activity.
- The integration of sequence and structural features via a transformer architecture represents a significant advancement in predicting protein dynamics.
- This tool has broad applicability in structural biology and related fields requiring accurate B-factor estimations.
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