How many (distinguishable) classes can we identify in single-particle analysis?

Lauzirika, O.; Pernica, M.; Herreros, D.; Ramírez-Aportela, E.; Krieger, J.; Gragera, M.; Iceta, M.; Conesa, P.; Fonseca, Y.; Jiménez, J.; Filipovic, J.; Carazo, J.M.; Sorzano, C.O.S.

doi:10.1107/S2059798325007831

Acta Crystallographica Section D
Acta Crystallographica
Section D STRUCTURAL BIOLOGY

IUCr IT WDC

home archive editors for authors for readers submit subscribe open access

view article

Figure 3
StructMap projection of the Ribosembly data set. The projection is a two-dimensional latent space obtained by applying multidimensional scaling (MDS) to the pairwise distance matrix of the reconstructed maps. In this space, the axes have no direct physical meaning. Still, they are chosen to best preserve the relative similarities: maps that are structurally more similar are placed closer together, while more distinct maps are placed farther apart. The pseudocolor represents the local density of maps in the projection, with brighter regions corresponding to positions where multiple maps overlap.

STRUCTURAL
BIOLOGY

ISSN: 2059-7983

Volume 81| Part 10| October 2025| Pages 535-544

https://doi.org/10.1107/S2059798325007831

Open

access

Follow Acta Cryst. D

Search IUCr Journals		doi		Advanced search
Author		volume	page