Bio3D-Web

Bio3D-Web provides interactive analysis of sequence-structure-dynamics relationships across user-defined protein structure sets to characterize structural, conformational, and dynamic properties of homologous proteins with high-resolution structures.


Key Features:

  • Structure Database Searching: Search and select relevant protein structures from a structure database for downstream analysis.
  • Sequence and Structure Conservation Assessment: Evaluate sequence and structural conservation across protein families to inform evolutionary and functional relationships.
  • Inter-Conformer Relationship Mapping and Clustering: Map and cluster conformations using principal component analysis (PCA) to characterize conformational heterogeneity.
  • Flexibility Prediction and eNMA Comparison: Predict structural flexibility and compare ensembles using ensemble normal mode analysis (eNMA) to quantify dynamic behavior.
  • Custom Report Generation: Export analysis results and settings into PDF, Word, and HTML report formats.

Scientific Applications:

  • Structural Biology: Characterize structural and conformational properties of protein families with available high-resolution structures.
  • Molecular Dynamics and Dynamics Comparison: Quantitatively compare flexibility and motion across conformers and ensembles using eNMA and PCA-derived metrics.
  • Evolutionary Studies: Assess sequence and structural conservation to investigate evolutionary relationships and functional implications.

Methodology:

Computational methods explicitly include structure database searching, sequence and structure conservation assessment, principal component analysis (PCA) for inter-conformer mapping and clustering, and ensemble normal mode analysis (eNMA) for flexibility prediction and comparison.

Topics

Details

Tool Type:
web application
Added:
1/18/2021
Last Updated:
2/4/2021

Operations

Publications

Grant BJ, Skjærven L, Yao X. Comparative Protein Structure Analysis with Bio3D-Web. Methods in Molecular Biology. 2020. doi:10.1007/978-1-0716-0270-6_2. PMID:32006275.

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