Evidence map›Paper›PMID 31869345›Full record

ArticlePLoS computational biology2019

Functional analysis of Rossmann-like domains reveals convergent evolution of topology and reaction pathways.

Kirill E Medvedev, Lisa N Kinch, R Dustin Schaeffer, Nick V Grishin

Abstract read
In one paragraph

Article in PLoS computational biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 40 papers.

0numbers the graph read from it
0cells of the map it votes in
40citing 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

40 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. ATP-Driven Allosteric Regulation of 14-3-3: Positive Modulation of ATP Hydrolysis and Negative Regulation of Peptide Binding.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2025
    Article
  8. Article
  9. On the emergence of metabolism: the evolution of proteins that powered life.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Protein Fold Usages in Ribosomes: Another Glance to the Past.International journal of molecular sciences · 2024
    Article
  16. DrugDomain: The evolutionary context of drugs and small molecules bound to domains.Protein science : a publication of the Protein Society · 2024
    Article
  17. Article
  18. Review
  19. Article
  20. Review
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.

Kirill E MedvedevDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.ORCID 0000-0002-7982-4242
Lisa N KinchHoward Hughes Medical Institute, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
R Dustin SchaefferDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.
Nick V GrishinDepartments of Biophysics and Biochemistry, University of Texas Southwestern Medical Center, Dallas, Texas, United States of America.

Funding

Computational analysis of proteinsR35GM127390 · NIGMS · UT SOUTHWESTERN MEDICAL CENTER · PI GRISHIN, NICK V. · 2018 to 2022
$1.5M
NIGMS NIH HHS R35 GM127390
6 · The paper itself

Abstract

Rossmann folds are ancient, frequently diverged domains found in many biological reaction pathways where they have adapted for different functions. Consequently, discernment and classification of their homologous relations and function can be complicated. We define a minimal Rossmann-like structure motif (RLM) that corresponds for the common core of known Rossmann domains and use this motif to identify all RLM domains in the Protein Data Bank (PDB), thus finding they constitute about 20% of all known 3D structures. The Evolutionary Classification of protein structure Domains (ECOD) classifies RLM domains in a number of groups that lack evidence for homology (X-groups), which suggests that they could have evolved independently multiple times. Closely related, homologous RLM enzyme families can diverge to bind different ligands using similar binding sites and to catalyze different reactions. Conversely, non-homologous RLM domains can converge to catalyze the same reactions or to bind the same ligand with alternate binding modes. We discuss a special case of such convergent evolution that is relevant to the polypharmacology paradigm, wherein the same drug (methotrexate) binds to multiple non-homologous RLM drug targets with different topologies. Finally, assigning proteins with RLM domain to the Enzyme Commission classification suggest that RLM enzymes function mainly in metabolism (and comprise 38% of reference metabolic pathways) and are overrepresented in extant pathways that represent ancient biosynthetic routes such as nucleotide metabolism, energy metabolism, and metabolism of amino acids. In fact, RLM enzymes take part in five out of eight enzymatic reactions of the Wood-Ljungdahl metabolic pathway thought to be used by the last universal common ancestor (LUCA). The prevalence of RLM domains in this ancient metabolism might explain their wide distribution among enzymes.

Indexed as

Evolution, MolecularBinding SitesCatalytic DomainComputational BiologyDatabases, ProteinEnzymesHumansLigandsMetabolic Networks and PathwaysModels, MolecularProtein BindingProtein DomainsSoftwareStructural Homology, ProteinEnzymesLigands

Identifiers

PMID31869345
PMCPMC6957218

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.