Related Experiment Video
Updated: Jul 30, 2026
16:41
A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Structure prediction: The state of the art
1Department of Biological Chemistry, The Johns Hopkins University School of Medicine, Baltimore, Maryland 21205, USA. shortle@welchlink.welch.jhu.edu
Current Biology : CB
|April 21, 1999
Summary
Protein structure prediction is advancing, with incremental progress in comparative modeling and fold recognition. Ab initio structure prediction methods have shown surprising successes, marking significant breakthroughs.
Area of Science:
- Computational biology
- Structural biology
- Biophysics
Background:
- Protein structure prediction is crucial for understanding biological function.
- Existing methods include comparative modeling, fold recognition, and ab initio approaches.
- Evaluating the state-of-the-art is essential for guiding future research.
Purpose of the Study:
- To summarize the progress in protein structure prediction methods.
- To highlight recent advancements, particularly in ab initio prediction.
- To assess the current landscape of computational protein modeling.
Main Methods:
- Review of recent developments in protein structure prediction.
- Analysis of incremental progress in comparative modeling and fold recognition.
- Evaluation of surprising successes in ab initio structure prediction.
Main Results:
- Incremental advancements were observed in comparative modeling and fold recognition techniques.
- Significant and surprising successes were reported for ab initio protein structure prediction.
- Overall progress across all protein structure prediction fronts was noted.
Conclusions:
- The field of protein structure prediction is rapidly evolving.
- Ab initio methods show particular promise for novel structure determination.
- Continued innovation in computational approaches is key to advancing structural biology.
