Evidence map›Paper›PMID 27018641›Full record

ArticleProteins2016

Molprobity's ultimate rotamer-library distributions for model validation.

Bradley J Hintze, Steven M Lewis, Jane S Richardson, David C Richardson

Abstract read
In one paragraph

Article in Proteins, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing 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

70 citing papers in PubMed.

  1. Article
  2. Avoiding pitfalls when modelling ligands in macromolecular crystallography.Acta crystallographica. Section D, Structural biology · 2026
    Article
  3. Article
  4. Intrinsic conformational equilibria position arrestin-2 for activation.Protein science : a publication of the Protein Society · 2026
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  5. Article
  6. The Untangle Challenge for accurate ensemble models.bioRxiv : the preprint server for biology · 2026
    Article
  7. Intrinsic conformational equilibria position arrestin-2 for activation.bioRxiv : the preprint server for biology · 2025
    Article
  8. Article
  9. Article
  10. Computational Evidence for Digenic Contribution ofInternational journal of molecular sciences · 2025
    Article
  11. Article
  12. Cis-nonProline peptides: Genuine occurrences and their functional roles.Protein science : a publication of the Protein Society · 2025
    Article
  13. PhiSiCal-Checkup: A Bayesian framework to validate amino acid conformations within experimental protein structures.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  14. Structure-driven development of a biomimetic rare earth artificial metalloprotein.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Protonation of histidine rings using quantum-mechanical methods.Acta crystallographica. Section D, Structural biology · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. One bead per residue can describe all-atom protein structures.Structure (London, England : 1993) · 2024
    Article

10 more citing papers are in PubMed but not listed here.

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.

Bradley J HintzeDepartment of Biochemistry, Duke University, Durham North Carolina 27710.ORCID 0000-0002-4871-2096
Steven M LewisDepartment of Biochemistry, Duke University, Durham North Carolina 27710.
Jane S RichardsonDepartment of Biochemistry, Duke University, Durham North Carolina 27710.
David C RichardsonDepartment of Biochemistry, Duke University, Durham North Carolina 27710.

Funding

PROJECT 5 - DUKE - STRUCTURE VALIDATION AND IMPROVEMENT FOR PROTEINS AND N. ACIDSP01GM063210 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI ADAMS, PAUL DAVID · 2001 to 2021
$33.5M
MolProbity Validation & Corrections: for Crystallography, PDB & BiomedicineR01GM073919 · NIGMS · DUKE UNIVERSITY · PI RICHARDSON, DAVID CLAUDE · 2006 to 2018
$3.7M
NIGMS NIH HHS P01 GM063210NIGMS NIH HHS R01 GM073919
6 · The paper itself

Abstract

Here we describe the updated MolProbity rotamer-library distributions derived from an order-of-magnitude larger and more stringently quality-filtered dataset of about 8000 (vs. 500) protein chains, and we explain the resulting changes and improvements to model validation as seen by users. To include only side-chains with satisfactory justification for their given conformation, we added residue-specific filters for electron-density value and model-to-density fit. The combined new protocol retains a million residues of data, while cleaning up false-positive noise in the multi- χ datapoint distributions. It enables unambiguous characterization of conformational clusters nearly 1000-fold less frequent than the most common ones. We describe examples of local interactions that favor these rare conformations, including the role of authentic covalent bond-angle deviations in enabling presumably strained side-chain conformations. Further, along with favored and outlier, an allowed category (0.3-2.0% occurrence in reference data) has been added, analogous to Ramachandran validation categories. The new rotamer distributions are used for current rotamer validation in MolProbity and PHENIX, and for rotamer choice in PHENIX model-building and refinement. The multi-dimensional χ distributions and Top8000 reference dataset are freely available on GitHub. These rotamers are termed "ultimate" because data sampling and quality are now fully adequate for this task, and also because we believe the future of conformational validation should integrate side-chain with backbone criteria. Proteins 2016; 84:1177-1189. © 2016 Wiley Periodicals, Inc.

Indexed as

AlgorithmsElectronsPeptide LibraryAmino AcidsDatabases, ProteinDatasets as TopicProtein ConformationProteinsStatistical DistributionsThermodynamicsAmino AcidsPeptide LibraryProteinshigh-quality datasetPhenixprotein conformationrare side-chain conformationsside-chain rotamer librarystructural bioinformaticsstructure validation

Identifiers

PMID27018641
PMCPMC4983197

What OpenQuestion holds

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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.