Evidence map›Paper›PMID 22323219›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2012

Automated protein structure modeling with SWISS-MODEL Workspace and the Protein Model Portal.

Lorenza Bordoli, Torsten Schwede

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 papers.

0numbers the graph read from it
0cells of the map it votes in
61citing 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

61 citing papers in PubMed.

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  16. A Novel Chondroitin AC Lyase With Broad Substrate Specificity FromFrontiers in bioengineering and biotechnology · 2021
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1 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.

Lorenza BordoliSIB Swiss Institute of Bioinformatics, Biozentrum University of Basel, Basel, Switzerland.
Torsten Schwede

Funding

Sub-project 9U54GM074958 · NIGMS · RUTGERS THE ST UNIV OF NJ NEW BRUNSWICK · PI KENNEDY, MICHAEL ALLEN · 2005 to 2009
$56.6M
The Protein Structure Inittiative KnowledgebaseU01GM093324 · NIGMS · RUTGERS, THE STATE UNIV OF N.J. · PI BERMAN, HELEN M · 2010 to 2015
$12.9M
NIGMS NIH HHS 1U01 GM093324-01NIGMS NIH HHS 3U54GM074958-04S2NIGMS NIH HHS U01 GM093324NIGMS NIH HHS U54 GM074958
6 · The paper itself

Abstract

Comparative protein structure modeling is a computational approach to build three-dimensional structural models for proteins using experimental structures of related protein family members as templates. Regular blind assessments of modeling accuracy have demonstrated that comparative protein structure modeling is currently the most reliable technique to model protein structures. Homology models are often sufficiently accurate to substitute for experimental structures in a wide variety of applications. Since the usefulness of a model for specific application is determined by its accuracy, model quality estimation is an essential component of protein structure prediction. Comparative protein modeling has become a routine approach in many areas of life science research since fully automated modeling systems allow also nonexperts to build reliable models. In this chapter, we describe practical approaches for automated protein structure modeling with SWISS-MODEL Workspace and the Protein Model Portal.

Indexed as

Databases, ProteinStructural Homology, ProteinAmino Acid SequenceModels, MolecularMolecular Sequence DataProteinsProteins

Identifiers

PMID22323219
PMCPMC5651980

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.