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Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Annotation of Plant Gene Function via Combined Genomics, Metabolomics and Informatics

Published on: June 17, 2012

TOPSAN: a collaborative annotation environment for structural genomics.

Dana Weekes¹, S Sri Krishna, Constantina Bakolitsa

¹Joint Center for Structural Genomics, Bioinformatics Core, Sanford-Burnham Medical Research Institute, La Jolla, CA 92037, USA.

BMC Bioinformatics

|August 19, 2010

Summary

This summary is machine-generated.

High-throughput structural biology yields many protein structures underutilized due to lack of manuscripts. TOPSAN, The Open Protein Structure Annotation Network, facilitates collaborative annotation and peer review to enhance data accessibility and impact.

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Published on: May 22, 2018

Area of Science:

Structural biology
Bioinformatics
Scientific communication

Background:

High-throughput structural genomics centers produce numerous novel protein structures.
These structures are often deposited in PDB without peer-reviewed manuscripts.
This limits their accessibility and utilization by the broader scientific community.

Purpose of the Study:

To address the underutilization of protein structure data.
To develop a platform for collaborative annotation and scientific dialogue.
To enhance the impact of structural genomics data.

Main Methods:

Development of TOPSAN (The Open Protein Structure Annotation Network).
A web-based platform combining wiki model openness with scientific communication quality control.
Facilitation of global research collaborations and expert-reviewed dialogue.

Main Results:

TOPSAN enables enhanced annotation and scientific dialogue for protein structures.
Expert review and peer validation processes are integrated.
Increased accessibility and impact of structural genomics data are facilitated.

Conclusions:

TOPSAN bridges the gap between high-throughput data generation and slower scientific analysis.
It combines automated annotation with peer-reviewed literature features.
Enhances the integration of structural biology data with broader research.