Evidence map›Paper›PMID 16220142›Full record

ArticleCell biology education2005

An inquiry into protein structure and genetic disease: introducing undergraduates to bioinformatics in a large introductory course.

April E Bednarski, Sarah C R Elgin, Himadri B Pakrasi

Abstract read
In one paragraph

Article in Cell biology education, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Building the next generation of quantitative biologists.Pacific Symposium on Biocomputing. Pacific Symposium on Biocomputing · 2014
    Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Tonal interface to MacroMolecules (TIMMol): A textual and tonal tool for molecular visualization.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology · 2008
    Article
  12. Article
  13. Exploring DNA structure with Cn3D.CBE life sciences education · 2007
    Article
  14. 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.

April E BednarskiDepartment of Biology, Washington University, St. Louis, MO 63130, USA. aprilb@biology2.wustl.edu
Sarah C R Elgin
Himadri B Pakrasi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This inquiry-based lab is designed around genetic diseases with a focus on protein structure and function. To allow students to work on their own investigatory projects, 10 projects on 10 different proteins were developed. Students are grouped in sections of 20 and work in pairs on each of the projects. To begin their investigation, students are given a cDNA sequence that translates into a human protein with a single mutation. Each case results in a genetic disease that has been studied and recorded in the Online Mendelian Inheritance in Man (OMIM) database. Students use bioinformatics tools to investigate their proteins and form a hypothesis for the effect of the mutation on protein function. They are also asked to predict the impact of the mutation on human physiology and present their findings in the form of an oral report. Over five laboratory sessions, students use tools on the National Center for Biotechnology Information (NCBI) Web site (BLAST, LocusLink, OMIM, GenBank, and PubMed) as well as ExPasy, Protein Data Bank, ClustalW, the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, and the structure-viewing program DeepView. Assessment results showed that students gained an understanding of the Web-based databases and tools and enjoyed the investigatory nature of the lab.

Indexed as

Genetic TechniquesMutationAlgorithmsComputational BiologyDatabases, FactualDatabases, GeneticDNA, ComplementaryEducational TechnologyGenetics, MedicalGenomeHumansInformation Storage and RetrievalInternetLearningSoftwareUniversitiesDNA, Complementary

Identifiers

PMID16220142
PMCPMC1200776

What OpenQuestion 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 OpenQuestion graph.