Evidence map›Paper›PMID 21097780›Full record

ArticleNucleic acids research2011

ModBase, a database of annotated comparative protein structure models, and associated resources.

Ursula Pieper, Benjamin M Webb, David T Barkan, Dina Schneidman-Duhovny, Avner Schlessinger, Hannes Braberg, Zheng Yang, Elaine C Meng, Eric F Pettersen, Conrad C Huang and 7 more

Abstract read
In one paragraph

Article in Nucleic acids research, 2011. 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.

  1. Trial
  2. Article
  3. Article
  4. Artificial Intelligence Learns Protein Prediction.Cold Spring Harbor perspectives in biology · 2024
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. In silico Methods for Identification of Potential Therapeutic Targets.Interdisciplinary sciences, computational life sciences · 2022
    Review
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. UCSF ChimeraX: Structure visualization for researchers, educators, and developers.Protein science : a publication of the Protein Society · 2021
    Article
  18. 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

17 authors.

Ursula PieperDepartment of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences, University of California at San Francisco, CA 94158, USA.
Benjamin M Webb
David T Barkan
Dina Schneidman-Duhovny
Avner Schlessinger
Hannes Braberg
Zheng Yang
Elaine C Meng
Eric F Pettersen
Conrad C Huang
Ruchira S Datta
Parthasarathy Sampathkumar
Mallur S Madhusudhan
Kimmen Sjölander
Thomas E Ferrin
Stephen K Burley
Andrej Sali

Funding

SUBPROJECT 5U54GM074945 · NIGMS · SGX PHARMACEUTICALS, INC. · PI BURLEY, STEPHEN KEVIN · 2005 to 2009
$46.2M
PHARMACOGENETICS OF MEMBRANE TRANSPORTERSU01GM061390 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GIACOMINI, KATHLEEN M · 2000 to 2009
$29.2M
XRAY CRYSTALLOGRAPHIC STRUCTURE ANALYSIS: PROTEIN SORTINGP41RR001081 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIN, THOMAS E · 1985 to 2011
$17.6M
SPECIALIZED CENTER FOR THE PROTEIN STRUCTURE INITIATIVEU54GM074929 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CHOE, SENYON · 2005 to 2009
$16.6M
Theoretical and Computational ApproachesP01GM071790 · NIGMS · UNIVERSITY OF ILLINOIS URBANA-CHAMPAIGN · PI BABBITT, PATRICIA CLEMENT · 2004 to 2013
$15.5M
Protein Modeling by Satisfaction of Spatial RestraintsR01GM054762 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 2001 to 2008
$2.1M
Description of substrate specificity determinants in Solute Carrier TransportersF32GM088991 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SCHLESSINGER, AVNER · 2010 to 2011
$104k
NCRR NIH HHS P41RR001081NIGMS NIH HHS F32 GM088991NIGMS NIH HHS P01GM71790NIGMS NIH HHS R01 GM54762NIGMS NIH HHS U01 GM61390NIGMS NIH HHS U54 GM074929NIGMS NIH HHS U54 GM074945NIGMS NIH HHS U54GM074945
6 · The paper itself

Abstract

ModBase (http://salilab.org/modbase) is a database of annotated comparative protein structure models. The models are calculated by ModPipe, an automated modeling pipeline that relies primarily on Modeller for fold assignment, sequence-structure alignment, model building and model assessment (http://salilab.org/modeller/). ModBase currently contains 10,355,444 reliable models for domains in 2,421,920 unique protein sequences. ModBase allows users to update comparative models on demand, and request modeling of additional sequences through an interface to the ModWeb modeling server (http://salilab.org/modweb). ModBase models are available through the ModBase interface as well as the Protein Model Portal (http://www.proteinmodelportal.org/). Recently developed associated resources include the SALIGN server for multiple sequence and structure alignment (http://salilab.org/salign), the ModEval server for predicting the accuracy of protein structure models (http://salilab.org/modeval), the PCSS server for predicting which peptides bind to a given protein (http://salilab.org/pcss) and the FoXS server for calculating and fitting Small Angle X-ray Scattering profiles (http://salilab.org/foxs).

Indexed as

Databases, ProteinModels, MolecularProtein Structure, TertiaryBacterial ProteinsComputer GraphicsPeptidesProtein Interaction MappingProteinsScattering, Small AngleSequence AlignmentSoftwareStructural Homology, ProteinUser-Computer InterfaceX-Ray DiffractionBacterial ProteinsPeptidesProteins

Identifiers

PMID21097780
PMCPMC3013688

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.