Structure-based inference of molecular functions of proteins of unknown function from Berkeley Structural Genomics...

Area of Science:

• Structural biology
• Genomics
• Bioinformatics

Background:

• Genomic sequencing yields numerous protein sequences, but many lack functional annotation.
• Sequence homology detection is insufficient for inferring functions of many unknown proteins.
• Three-dimensional protein structure is crucial for inferring molecular and chemical functions.

Purpose of the Study:

• To summarize the process used at the Berkeley Structural Genomics Center for inferring molecular functions of proteins with unknown functions.
• To highlight the role of structural genomics in functional annotation.

Main Methods:

• High-throughput protein structure determination by structural genomics centers.
• Integration of 3-D structure analysis with bioinformatics tools.
• Utilizing enzymatic assays to complement structural and sequence-based function inference.

Main Results:

• Structural genomics efforts have determined numerous 3-D protein structures.
• Inferred molecular functions for a significant fraction of hypothetical proteins based on their structures.
• Accelerated functional annotation of proteins of unknown function.

Conclusions:

• Three-dimensional protein structure is a powerful tool for inferring molecular functions.
• High-throughput structure determination pipelines combined with bioinformatics and assays enable rapid functional annotation.
• This approach significantly advances the understanding of proteomes and the annotation of hypothetical proteins.