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A Protocol for Computer-Based Protein Structure and Function Prediction
Published on: November 3, 2011
Protein function annotation with Structurally Aligned Local Sites of Activity (SALSAs).
Zhouxi Wang1, Pengcheng Yin, Joslynn S Lee
1Department of Chemistry and Chemical Biology, Northeastern University, Boston, MA 02115, USA.
BMC Bioinformatics
|March 22, 2013
Summary
Predicting protein function from 3D structure is challenging. The Structurally Aligned Local Sites of Activity (SALSA) method uses local structural matches to accurately predict biochemical functions, confirming or correcting existing annotations.
Area of Science:
- Structural biology
- Biochemistry
- Bioinformatics
Background:
- Predicting protein biochemical function from 3D structure is a significant challenge in structural genomics.
- A reliable method to assess putative annotations and predict function from structure is highly valuable.
Purpose of the Study:
- To introduce and validate the Structurally Aligned Local Sites of Activity (SALSA) method for predicting protein biochemical function.
- To demonstrate SALSA's capability in confirming, identifying misannotations, and suggesting more probable annotations for proteins.
Main Methods:
- The SALSA method was implemented to analyze local structural matches at predicted catalytic or binding sites.
- Case studies involved structural genomics proteins with putative annotations: PY01515 (OMPDC), YP_001304206.1 (sugar hydrolase), and a Mycobacterium avium protein (ECH).
Main Results:
- SALSA confirmed the Orotidine 5'-monophosphate decarboxylase (OMPDC) annotation for PY01515.
- Analysis of YP_001304206.1 suggested it represents a new functional type within the Concanavalin A-like lectins/glucanases superfamily.
- SALSA indicated that the reported enoyl-CoA hydratase (ECH) function for the Mycobacterium avium protein was likely incorrect, suggesting a β-diketone hydrolase function instead.
Conclusions:
- Local structural site matching provides more reliable function predictions than global 3D structure matching alone.
- The SALSA method effectively confirms putative annotations, identifies misannotations, and proposes more accurate functional assignments.
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