Evidence map›Paper›PMID 20360767›Full record

ArticleNature protocols2010

I-TASSER: a unified platform for automated protein structure and function prediction.

Ambrish Roy, Alper Kucukural, Yang Zhang

Open access · greenAbstract read
In one paragraph

Article in Nature protocols, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3,229 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3,229citing papers in PubMed, 1 pooled it
132.9field-weighted citation impact, top 1% of its field
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

3,229 citing papers in PubMed, 1 synthesis or guideline pooled it, 6,320 citations in OpenAlex.

  1. Pooled it
  2. Article
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3,169 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

3 authors at 2 institutions in 1 country.

Ambrish RoyCenter for Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, Michigan, USA.
Alper Kucukural
Yang Zhang
University of Kansas · USUniversity of Michigan–Ann Arbor · US

Funding

I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
Atomic-level, large-scale structure prediction of G protein-coupled receptorsR01GM084222 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2009 to 2012
$1.3M
NIGMS NIH HHS GM083107NIGMS NIH HHS GM084222NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM084222
6 · The paper itself

Abstract

The iterative threading assembly refinement (I-TASSER) server is an integrated platform for automated protein structure and function prediction based on the sequence-to-structure-to-function paradigm. Starting from an amino acid sequence, I-TASSER first generates three-dimensional (3D) atomic models from multiple threading alignments and iterative structural assembly simulations. The function of the protein is then inferred by structurally matching the 3D models with other known proteins. The output from a typical server run contains full-length secondary and tertiary structure predictions, and functional annotations on ligand-binding sites, Enzyme Commission numbers and Gene Ontology terms. An estimate of accuracy of the predictions is provided based on the confidence score of the modeling. This protocol provides new insights and guidelines for designing of online server systems for the state-of-the-art protein structure and function predictions. The server is available at http://zhanglab.ccmb.med.umich.edu/I-TASSER.

Indexed as

Databases, ProteinInternetSequence AlignmentStructural Homology, ProteinAmino Acid SequenceComputer SimulationModels, MolecularOnline SystemsProteinsProteins

Identifiers

PMID20360767
PMCPMC2849174
OpenAlexW2037312364

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.