Evidence map›Paper›PMID 42056700›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2026

Studying the Evolution of Protein Structure One Superfamily at a Time.

Adrián Cruz-González, Ricardo Hernández-Morales, José Alberto Campillo-Balderas, Rodrigo Jácome

Abstract read
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In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Adrián Cruz-GonzálezFacultad de Ciencias, Universidad Nacional Autónoma de México, CDMX, Mexico City, Mexico.
Ricardo Hernández-MoralesFacultad de Ciencias, Universidad Nacional Autónoma de México, CDMX, Mexico City, Mexico.
José Alberto Campillo-BalderasFacultad de Ciencias, Universidad Nacional Autónoma de México, CDMX, Mexico City, Mexico.
Rodrigo JácomeFacultad de Ciencias, Universidad Nacional Autónoma de México, CDMX, Mexico City, Mexico. rodrigo.jacome@ciencias.unam.mx.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The field of structural biology has received a major thrust, thanks to the important advancements in cryo-electron microscopy coupled with the development of highly reliable computer-predicted structural models. Throughout evolution, the tertiary structure of proteins is more conserved than their primary structure. The superposition of protein tertiary structures has been a powerful tool in the identification of proteins with remote homology, whose evolutionary footprints are no longer detectable through their primary sequence alignment, and more recently in the reconstruction of evolutionary trees. These structure-based phylogenetic trees have been demonstrated to be quite useful in the study of deep evolutionary events and in the analysis of biological entities with extremely high mutation rates, such as RNA viruses. The construction of phylogenetic trees from tertiary structures starts by performing pairwise comparisons between a set of proteins, from which certain parameters, such as the number of spatially aligned residues and the average distance between their ɑ-carbons, are collected. These measurements are then used to calculate a structural distance metric, which can be used as input for the construction of an evolutionary tree.

Indexed as

Computational BiologyEvolution, MolecularProteinsModels, MolecularPhylogenyProtein ConformationProtein Structure, TertiaryProteinsDomainEvolutionProteinStructural superpositionTertiary structure

Identifiers

PMID42056700

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.