Evidence map›Paper›PMID 15647507›Full record

ArticleNucleic acids research2005

Accuracy of structure-derived properties in simple comparative models of protein structures.

Suvobrata Chakravarty, Lei Wang, Roberto Sanchez

Abstract readComparative StudyEvaluation Study
In one paragraph

Article in Nucleic acids research, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  5. Article
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  8. Pspace: a program that assesses protein space.Source code for biology and medicine · 2007
    Article
  9. Article
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

3 authors.

Suvobrata ChakravartyStructural Biology Program, Department of Physiology and Biophysics, Mount Sinai School of Medicine New York, NY 10029, USA.
Lei Wang
Roberto Sanchez

Funding

STRUCTURE-BASED DESIGN PARADIGM:HIV Tat.PCAF INHIBITORSP01GM066531 · NIGMS · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI ZHOU, MING-MING · 2002 to 2008
$6.6M
NIGMS NIH HHS 1P01GM066531-01NIGMS NIH HHS P01 GM066531
6 · The paper itself

Abstract

The accuracy of comparative models of proteins is addressed here. A set of 12,732 single-template models of sequences of known high-resolution structures was built by an automated procedure. Accuracy of several structure-derived properties, such as surface area, residue accessibility, presence of pockets, electrostatic potential and others, was determined as a function of template:target sequence identity by comparing models with their corresponding experimental structures. As expected, the average accuracy of structure-derived properties always increases with higher template:target sequence identity, but the exact shape of this relationship can differ from one property to another. A comparison of structure-derived properties measured from NMR and X-ray structures of the same protein shows that for most properties, the NMR/X-ray difference is of the same order as the error in models based on approximately 40% template:target sequence identity. The exact sequence identity at which properties reach that accuracy varies between 25 and 50%, depending on the property being analyzed. A general characteristic of simple comparative models is that their surface has increased area as a consequence of being more rugged than that of experimental structures. This suggests that including solvent effects during model building or refinement could significantly improve the accuracy of surface properties in comparative models.

Indexed as

Models, MolecularStructural Homology, ProteinAmino AcidsCrystallography, X-RayMolecular StructureNuclear Magnetic Resonance, BiomolecularReproducibility of ResultsSaltsStatic ElectricityAmino AcidsSalts

Identifiers

PMID15647507
PMCPMC546150

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.