Evidence map›Paper›PMID 19929829›Full record

ReviewCurrent topics in medicinal chemistry2010

Template-based protein modeling: recent methodological advances.

Pankaj R Daga, Ronak Y Patel, Robert J Doerksen

Abstract readReview
In one paragraph

Review in Current topics in medicinal chemistry, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Protein Structure Prediction Methods.Advances in experimental medicine and biology · 2026
    Review
  2. Challenges of Protein-Protein Docking of the Membrane Proteins.Methods in molecular biology (Clifton, N.J.) · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Molecular Docking: Shifting Paradigms in Drug Discovery.International journal of molecular sciences · 2019
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Database resources for the tuberculosis community.Tuberculosis (Edinburgh, Scotland) · 2013
    Review
  12. Review
  13. Article
  14. Review
  15. Article
  16. Article
  17. 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.

Pankaj R DagaDepartment of Medicinal Chemistry, School of Pharmacy, University of Mississippi, University, MS, 38677-1848, USA.
Ronak Y Patel
Robert J Doerksen

Funding

SOURCING, ACQUISITION AND DATABASE COREP20RR021929 · NCRR · UNIVERSITY OF MISSISSIPPI · PI EL-ALFY, ABIR T · 2006 to 2010
$11.1M
RENOVATION OF FOURTH FLOOR OF FASER HALLC06RR014503 · NCRR · UNIVERSITY OF MISSISSIPPI · PI WELLS, BARBARA G · 1999 to 1999
–
NCRR NIH HHS C06 RR014503NCRR NIH HHS C06 RR-14503-01NCRR NIH HHS P20 RR021929PHS HHS U50/CCU423310
6 · The paper itself

Abstract

Protein modeling has been a very challenging problem in drug discovery and computational biology. The latest advances and progress in computational power have helped to solve this problem to a considerable extent; however, predicting accurate three-dimensional structure of proteins has always been and remains a complicated assignment. Of the two common methods of protein structure prediction, template-based modeling has become more popular than ab initio modeling. In this review, we summarize the developments in methodology and of understanding for comparative protein modeling during the last three years, including for homologue search, fold recognition, secondary structure prediction, model building, loop building, side-chain prediction and model quality assessment.

Indexed as

Models, MolecularComputational BiologyDrug DiscoveryProtein ConformationProtein FoldingProteinsProteins

Identifiers

PMID19929829
PMCPMC5943704

What Socratic holds

Textmetadata
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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 Socratic graph.