MSALigMap
MSALigMap maps active-site amino acid residues that interact with specific ligands from PDB structures onto target protein sequences using multiple sequence alignment to analyze binding-site conservation and predict mutation impacts.
Key Features:
- Ligand-Specific Mapping: Maps amino acid residues that bind selected ligands identified in PDB structures onto aligned target sequences.
- Novel Sequence Analysis: Accepts novel protein sequences not present in public databases for mapping against ligand-bound PDB structures.
- Comparative Analysis Across Sequences: Supports comparison of multiple protein sequences from different organisms or clinical strains against ligand- or drug-bound PDB structures.
- Mutation Impact Prediction: Facilitates prediction of functional consequences of mutations within mapped binding sites to assess effects on drug efficacy and resistance.
Scientific Applications:
- Drug Discovery and Development: Identifying critical ligand-binding residues to inform drug design and therapeutic target selection.
- Protein Engineering: Informing engineering of proteins with altered binding properties by revealing how mutations affect ligand interactions.
- Comparative Genomics: Mapping and comparing binding-site residues across species or strains for evolutionary and functional genomics studies.
Methodology:
MSALigMap uses multiple sequence alignment to align target protein sequences with sequences from PDB structures crystallized with specific ligands and maps the ligand-interacting residues from the PDB entries onto the aligned targets.
Topics
Details
- Cost:
- Free of charge
- Tool Type:
- web application
- Operating Systems:
- Mac, Linux, Windows
- Programming Languages:
- Python
- Added:
- 2/20/2023
- Last Updated:
- 11/24/2024
Operations
Publications
Hassan S, Haleemath Sameer S, Töpel M, Aronsson H. MSALigMap—A Tool for Mapping Active-Site Amino Acids in PDB Structures onto Known and Novel Unannotated Homologous Sequences with Similar Function. Life. 2022;12(12):2082. doi:10.3390/life12122082. PMID:36556447. PMCID:PMC9784966.