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LAHMA: structure analysis through local annotation of homology-matched amino acids
- Source :
- Acta Crystallographica. Section D, Structural Biology
- Publication Year :
- 2021
- Publisher :
- International Union of Crystallography (IUCr), 2021.
-
Abstract
- The LAHMA web server for structural analysis of homologous proteins is presented.<br />Comparison of homologous structure models is a key step in analyzing protein structure. With a wealth of homologous structures, comparison becomes a tedious process, and often only a small (user-biased) selection of data is used. A multitude of structural superposition algorithms are then typically used to visualize the structures together in 3D and to compare them. Here, the Local Annotation of Homology-Matched Amino acids (LAHMA) website (https://lahma.pdb-redo.eu) is presented, which compares any structure model with all of its close homologs from the PDB-REDO databank. LAHMA displays structural features in sequence space, allowing users to uncover differences between homologous structure models that can be analyzed for their relevance to chemistry or biology. LAHMA visualizes numerous structural features, also allowing one-click comparison of structure-quality plots (for example the Ramachandran plot) and ‘in-browser’ structural visualization of 3D models.
- Subjects :
- Models, Molecular
Structure analysis
education
information science
Computational biology
Biology
Homology (biology)
webserver
03 medical and health sciences
Annotation
Protein structure
Structural Biology
TheoryofComputation_ANALYSISOFALGORITHMSANDPROBLEMCOMPLEXITY
ComputingMethodologies_SYMBOLICANDALGEBRAICMANIPULATION
natural sciences
protein structure
Structured model
Databases, Protein
030304 developmental biology
chemistry.chemical_classification
0303 health sciences
LAHMA
030302 biochemistry & molecular biology
Proteins
homology
structure analysis
Visualization
Amino acid
ComputingMethodologies_PATTERNRECOGNITION
chemistry
Structural Homology, Protein
Ccp4
Algorithms
Software
MathematicsofComputing_DISCRETEMATHEMATICS
Ramachandran plot
Subjects
Details
- ISSN :
- 20597983
- Volume :
- 77
- Database :
- OpenAIRE
- Journal :
- Acta Crystallographica Section D Structural Biology
- Accession number :
- edsair.doi.dedup.....e15033db480de0ed8aedbe4d36be9996
- Full Text :
- https://doi.org/10.1107/s2059798320014473