Evidence map›Paper›PMID 24899668›Full record

ArticleMolecular biology and evolution2014

Simultaneous Bayesian estimation of alignment and phylogeny under a joint model of protein sequence and structure.

Joseph L Herman, Christopher J Challis, Ádám Novák, Jotun Hein, Scott C Schmidler

Abstract read
In one paragraph

Article in Molecular biology and evolution, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

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0cells of the map it votes in
20citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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.

2 · The registry

The trial behind it

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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

20 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Protein Structural Phylogenetics.Genome biology and evolution · 2025
    Review
  5. Article
  6. A scalable analytical approach from bacterial genomes to epidemiology.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Article
  7. Article
  8. Structural Phylogenetics with Confidence.Molecular biology and evolution · 2020
    Article
  9. Incorporating Nearest-Neighbor Site Dependence into Protein Evolution Models.Journal of computational biology : a journal of computational molecular cell biology · 2020
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. A Generative Angular Model of Protein Structure Evolution.Molecular biology and evolution · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Joseph L HermanDepartment of Statistics, University of Oxford, Oxford, United KingdomDivision of Mathematical Biology, National Institute of Medical Research, London, United Kingdom herman@stats.ox.ac.uk.
Christopher J ChallisDepartment of Statistical Science, Duke University.
Ádám NovákDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
Jotun HeinDepartment of Statistics, University of Oxford, Oxford, United Kingdom.
Scott C SchmidlerDepartment of Statistical Science, Duke UniversityDepartment of Computer Science, Duke University.

Funding

A New Approach to Phylogenetic Analysis Using Structural InformationR01GM090201 · NIGMS · UNIVERSITY OF CALIFORNIA SANTA CRUZ · PI RODRIGUEZ, ABEL · 2009 to 2013
$1.4M
NIGMS NIH HHS R01 GM090201NIGMS NIH HHS R01GM090201
6 · The paper itself

Abstract

For sequences that are highly divergent, there is often insufficient information to infer accurate alignments, and phylogenetic uncertainty may be high. One way to address this issue is to make use of protein structural information, since structures generally diverge more slowly than sequences. In this work, we extend a recently developed stochastic model of pairwise structural evolution to multiple structures on a tree, analytically integrating over ancestral structures to permit efficient likelihood computations under the resulting joint sequence-structure model. We observe that the inclusion of structural information significantly reduces alignment and topology uncertainty, and reduces the number of topology and alignment errors in cases where the true trees and alignments are known. In some cases, the inclusion of structure results in changes to the consensus topology, indicating that structure may contain additional information beyond that which can be obtained from sequences. We use the model to investigate the order of divergence of cytoglobins, myoglobins, and hemoglobins and observe a stabilization of phylogenetic inference: although a sequence-based inference assigns significant posterior probability to several different topologies, the structural model strongly favors one of these over the others and is more robust to the choice of data set.

Indexed as

Bayes TheoremAnimalsComputational BiologyCytoglobinGlobinsHemoglobinsHumansMarkov ChainsModels, MolecularMutationMyoglobinPhylogenyProtein ConformationSequence AlignmentSequence Analysis, ProteinCytoglobinGlobinsHemoglobinsMyoglobinBayesian phylogeneticsglobin evolutionstatistical alignmentstochastic processesstructural alignment

Identifiers

PMID24899668
PMCPMC4137710

What OpenQuestion holds

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Registered trials

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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.