MulPBA
MulPBA performs multiple structural alignments of protein structures using a structural alphabet derived from backbone dihedral angles to enable comparative analysis of protein function, evolution, and architecture.
Key Features:
- Structural alphabet representation: Describes backbone conformation via dihedral angles to produce a sequence-like representation that enables application of sequence alignment methods.
- Iterative refinement of superposition: Employs an iterative refinement process to improve structural superposition, surpassing rigid-body alignment and being comparable to flexible structure comparison approaches.
- Sequence alignments and 3D superposition: Produces multiple sequence alignments and superposed 3D structures for the input protein chains.
- Quality measures and relatedness indicators: Computes multiple global quality measures and a distance dendrogram to indicate relatedness among compared protein structures.
- Output formats: Provides superimposed structures in PDB format for downstream analysis.
Scientific Applications:
- Protein function and architecture analysis: Comparative alignments aid identification of conserved structural features relevant to protein function and architecture.
- Evolutionary relationship inference: Distance dendrograms and alignments support analyses of structural relatedness and evolutionary pathways.
- Conserved region and motif identification: Alignments enable detection of conserved regions and functional motifs across multiple structures.
- Structure-guided targeting and mutagenesis: Superposed structures and quality metrics inform structural sites of interest for drug targeting or mutagenesis studies.
Methodology:
Represent backbone conformation with a structural alphabet based on dihedral angles, convert structures to a sequence-like form, apply sequence alignment methods, perform iterative refinement to enhance superposition, compute global quality measures and a distance dendrogram, and generate sequence alignments and superposed structures in PDB format.
Topics
Details
- Tool Type:
- web application
- Operating Systems:
- Linux, Windows, Mac
- Added:
- 8/3/2017
- Last Updated:
- 11/25/2024
Operations
Publications
Léonard S, Joseph AP, Srinivasan N, Gelly J, de Brevern AG. mulPBA: an efficient multiple protein structure alignment method based on a structural alphabet. Journal of Biomolecular Structure and Dynamics. 2013;32(4):661-668. doi:10.1080/07391102.2013.787026. PMID:23659291.