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From fold to function.

J Moult¹, E Melamud

¹Center for Advanced Research in Biotechnology, University of Maryland, Biotechnology Institute, Rockville, MD 20850, USA. moult@umbi.umd.edu

Current Opinion in Structural Biology

|June 14, 2000

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Scientists are improving methods to predict protein function directly from their structures. This is crucial for understanding proteins, especially with the growth of structural genomics.

Area of Science:

Structural biology
Bioinformatics
Computational biology

Background:

Predicting protein function from structure is essential for biological research.
Existing methods often rely on evolutionary relationships (fold and sequence similarity).
The field of structural genomics is rapidly expanding, increasing the need for efficient function annotation.

Purpose of the Study:

To review recent advances in structure-based protein function prediction.
To highlight the development of methods that deduce function directly from protein structure, independent of evolutionary information.

Main Methods:

Analysis of protein structure-based function prediction techniques.
Comparison of methods utilizing fold and sequence relationships.

Related Experiment Videos

Evaluation of emerging methods for direct structure-to-function deduction.

Consideration of the impact of protein model accuracy on function prediction.

Main Results:

Protein fold relationships can provide general functional insights.
Sequence relationships offer more detailed functional information.
Methods for deducing function directly from structure are rapidly advancing.
Model accuracy is a key limitation for structure-based function prediction.

Conclusions:

Advances in structure-based methods are crucial for annotating protein function.
Direct structure-to-function prediction methods show significant promise.
Improved accuracy in protein structure models will enhance function prediction capabilities.
These advancements are vital for the structural genomics field.