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Related Experiment Video

Updated: Jan 12, 2026

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Investigating Protein Sequence-structure-dynamics Relationships with Bio3D-web

Published on: July 16, 2017

Ten rules for a structural bioinformatic analysis.

Stephanie A Wankowicz^1,2

¹Departments of Molecular Physiology and Biophysics, Biochemistry, Computer Science, Vanderbilt University, Nashville, Tennessee, United States of America.

Plos Computational Biology

|October 31, 2025

Summary

This summary is machine-generated.

The Protein Data Bank (PDB) provides crucial structural data for biological research. Understanding PDB data nuances is key for accurate structural bioinformatics analyses and new scientific discoveries.

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Published on: April 26, 2013

Area of Science:

Structural Biology
Bioinformatics
Computational Biology

Background:

The Protein Data Bank (PDB) is a vast, open-source repository of macromolecular structural models and experimental data.
The PDB has been instrumental in advancing structural biology, enabling structure prediction and the discovery of biological patterns.
Structural bioinformatics leverages PDB data to identify conserved folds, binding sites, and conformational changes.

Purpose of the Study:

To provide 10 recommendations for conducting robust structural bioinformatic analyses.
To guide researchers in effectively utilizing PDB data for scientific discovery.
To emphasize the importance of understanding experimental data nuances for accurate conclusions.

Main Methods:

Systematic collection, validation, and indexing of structural models in the PDB.
Leveraging large-scale PDB data for pattern discovery in structural bioinformatics.
Developing analytical tools and understanding data quality metrics.

Main Results:

Structural bioinformatics analyses of PDB data reveal patterns not discernible from single structures.
Democratization of structural data and open-source tools, enhanced by AI, empowers broader research communities.
Accurate conclusions from PDB data depend on understanding experimental nuances, data conventions, and quality metrics.

Conclusions:

Effective structural bioinformatics requires deep understanding of PDB data intricacies.
Adherence to best practices in data analysis, controls, and statistics is essential.
These recommendations aim to facilitate new discoveries through PDB data exploration.