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Leveraging CyVerse Resources for De Novo Comparative Transcriptomics of Underserved (Non-model) Organisms

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Current challenges in genome annotation through structural biology and bioinformatics.

Nicholas Furnham¹, Tjaart A P de Beer, Janet M Thornton

¹EMBL-EBI, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SD, UK.

Current Opinion in Structural Biology

|August 14, 2012

Summary

Accurate gene product annotation is crucial for understanding genomic data. Experimentally determined structures aid computational biologists in identifying homology and improving functional annotations for enzymes.

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Area of Science:

Genomics
Structural Biology
Bioinformatics

Background:

High-throughput sequencing projects generate vast amounts of genomic data.
Accurate gene product annotation is essential but challenging for computational biologists.
Experimental data, particularly 3D structures, is vital for annotating unknown gene functions.

Purpose of the Study:

To highlight the importance of experimentally determined structures in genomic annotation.
To emphasize the role of structural information in detecting sequence-based homology.
To showcase how structural data aids in understanding molecular-level consequences of genomic variation.

Main Methods:

Utilizing experimentally determined protein structures.
Integrating structural data with sequence and chemical similarity.
Applying bioinformatics methods for functional annotation.

Main Results:

Experimentally determined structures enable detection of homology missed by sequence analysis alone.
Structural information allows for the molecular-level interpretation of genomic variations.
Combining structural, sequence, and chemical data enhances enzyme functional annotation.

Conclusions:

Experimentally determined structures are indispensable for accurate and detailed genomic annotation.
Structural biology plays a critical role in advancing computational biology and functional genomics.
Integrating diverse data types, including structure, sequence, and chemistry, is key to robust functional annotation.