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Structome-TM: complementing dataset assembly for structural phylogenetics by addressing size-based biases
Ashar J Malik1,2,3, David B Ascher1,2,3
1School of Chemistry and Molecular Biosciences, The University of Queensland, Brisbane, QLD, 4072, Australia.
Structome-TM aids in uncovering evolutionary relationships by identifying homologous proteins missed by global alignment. This web resource uses local structural similarity to build comprehensive protein structural neighborhoods for phylogenetic analysis.
Area of Science:
- Structural bioinformatics
- Computational biology
- Evolutionary biology
Background:
- Effective comparison of protein structures is crucial for understanding evolutionary relationships.
- Global alignment methods struggle with homologous proteins of varying sizes or domain architectures.
Purpose of the Study:
- Introduce Structome-TM, a web resource for assembling datasets for phylogenetic reconstruction.
- Address limitations of global alignment in identifying distant evolutionary relationships.
Main Methods:
- Utilizes Template Modelling score for prioritizing local structural similarity.
- Accepts Protein Data Bank identifiers, user-uploaded structures, and protein sequences as input.
- Predicts protein structures in real-time for sequence-based queries.
Main Results:
- Excels at identifying obscured homologous relationships based on local structural similarity.
- Enables the construction of comprehensive protein structural neighborhoods.
- Facilitates phylogenetic analysis even when experimentally determined structures are unavailable.
Conclusions:
- Structome-TM offers a powerful approach for exploring protein evolution.
- The resource enhances the discovery of deep evolutionary connections through structural comparisons.
- Provides a user-friendly interface for assembling phylogenetic datasets.
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