ArticleActa crystallographica. Section D, Structural biology2021
LAHMA: structure analysis through local annotation of homology-matched amino acids.
Article in Acta crystallographica. Section D, Structural biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Reformulation of the protein databank for real-time search of geometrical attributes of protein structures.Frontiers in molecular biosciences · 2025Article
- CCDActa crystallographica. Section D, Structural biology · 2021Article
- Modelling covalent linkages in CCP4.Acta crystallographica. Section D, Structural biology · 2021Article
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Authors and funding
7 authors.
Funding
Abstract
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.
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