Evidence map›Paper›PMID 21436958›Full record

ArticleBiomolecular concepts2010

A fresh look at the Ramachandran plot and the occurrence of standard structures in proteins.

Scott A Hollingsworth, P Andrew Karplus

Abstract read
In one paragraph

Article in Biomolecular concepts, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 147 papers.

0numbers the graph read from it
0cells of the map it votes in
147citing 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

147 citing papers in PubMed.

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  16. Revisiting the Explanations of the Beta-Sheet Twist and Its Handedness.International journal of molecular sciences · 2026
    Review
  17. Article
  18. Design andFrontiers in bioinformatics · 2026
    Article
  19. Article
  20. Article

87 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

2 authors.

Scott A HollingsworthDepartment of Biochemistry & Biophysics, Oregon State University, Corvallis, OR 97331.
P Andrew Karplus

Funding

Improving Modeling by Learning from Details of High Accuracy Protein StructuresR01GM083136 · NIGMS · OREGON STATE UNIVERSITY · PI KARPLUS, PAUL ANDREW · 2008 to 2015
$1.7M
NIGMS NIH HHS R01 GM083136
6 · The paper itself

Abstract

The Ramachandran plot is among the most central concepts in structural biology, seen in publications and textbooks alike. However, with the increasing numbers of known protein-structures and greater accuracy of ultra-high resolution protein structures, we are still learning more about the basic principles of protein structure. Here we use high fidelity conformational information to explore novel ways, such a geo-style and wrapped Ramachandran plots, to convey some of the basic aspects of the Ramachandran plot and of protein conformation. We point out the pressing need for a standard nomenclature for peptide conformation and propose such a nomenclature. Finally, we summarize some recent conceptual advances related to the building blocks of protein structure. The results for linear groups imply the need for substantive revisions in how the basics of protein structure are handled.

Identifiers

PMID21436958
PMCPMC3061398

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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.