Evidence map›Paper›PMID 31427836›Full record

ArticleFuture generations computer systems : FGCS2019

I-TASSER gateway: A protein structure and function prediction server powered by XSEDE.

Wei Zheng, Chengxin Zhang, Eric W Bell, Yang Zhang

Abstract read
In one paragraph

Article in Future generations computer systems : FGCS, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 54 papers.

0numbers the graph read from it
0cells of the map it votes in
54citing 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

54 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. From AI-AssistedPharmaceuticals (Basel, Switzerland) · 2025
    Review
  6. Article
  7. Article
  8. Article
  9. Decoding the cross-immune pressure: Dengue's role in SARS-CoV-2 evolution.Computational and structural biotechnology journal · 2025
    Article
  10. Insight into Protein Engineering: FromCurrent pharmaceutical design · 2025
    Review
  11. Article
  12. Article
  13. Computational exploration ofBiochemistry and biophysics reports · 2024
    Article
  14. Recent Progress of Protein Tertiary Structure Prediction.Molecules (Basel, Switzerland) · 2024
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Pan-Genomics ofLife (Basel, Switzerland) · 2023
    Article
  20. Application Experiences on a GPU-Accelerated Arm-based HPC Testbed.The proceedings of International Conference on High Performance Computing in Asia-Pacific Region (HPC Asia 2023 Workshops) : 27 February to 2 March 2023, Singapore. International Conference/Exhibition on High-Performance Computing in th... · 2023
    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

4 authors.

Wei ZhengDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218, United States.
Chengxin ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218, United States.
Eric W BellDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218, United States.
Yang ZhangDepartment of Computational Medicine and Bioinformatics, University of Michigan, Ann Arbor, MI 48109-2218, United States.

Funding

Structure-based functional annotation of microbial genomesR01AI134678 · NIAID · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI Lydia Petra Freddolino, SCOTT J. HULTGREN · 2018 to 2026
$6.5M
Training Program in BioinformaticsT32GM070449 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ATHEY, BRIAN DAVID, BURMEISTER, MARGIT · 2005 to 2020
$3.6M
I-TASSER based atomic-level protein structure predictionR01GM083107 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2008 to 2019
$3.5M
Template-based docking refinement approach to protein-protein structure modelingR01GM116960 · NIGMS · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI ZHANG, YANG · 2016 to 2019
$1.4M
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
NIAID NIH HHS R01 AI134678NIGMS NIH HHS R01 GM083107NIGMS NIH HHS R01 GM084222NIGMS NIH HHS R01 GM116960NIGMS NIH HHS T32 GM070449
6 · The paper itself

Abstract

There is an increasing gap between the number of known protein sequences and the number of proteins with experimentally characterized structure and function. To alleviate this issue, we have developed the I-TASSER gateway, an online server for automated and reliable protein structure and function prediction. For a given sequence, I-TASSER starts with template recognition from a known structure library, followed by full-length atomic model construction by iterative assembly simulations of the continuous structural fragments excised from the template alignments. Functional insights are then derived from comparative matching of the predicted model with a library of proteins with known function. The I-TASSER pipeline has been recently integrated with the XSEDE Gateway system to accommodate pressing demand from the user community and increasing computing costs. This report summarizes the configuration of the I-TASSER Gateway with the XSEDE-Comet supercomputer cluster, together with an overview of the I-TASSER method and milestones of its development.

Indexed as

annotationI-TASSER web-serverProtein structure predictionStructure-based protein functionXSEDE science gateway

Identifiers

PMID31427836
PMCPMC6699767

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.