Evidence map›Paper›PMID 21404361›Full record

ReviewProtein science : a publication of the Protein Society2011

A career pathway in protein folding: from model peptides to postreductionist protein science.

Lila M Gierasch

Abstract readReview
In one paragraph

Review in Protein science : a publication of the Protein Society, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Protein folding in the cell, from atom to organism.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2014
    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

1 author.

Lila M GieraschDepartment of Biochemistry and Molecular Biology, University of Massachusetts, Amherst, Massachusetts 01003, USA. gierasch@biochem.umass.edu

Funding

NIH DIRECTOR'S PIONEER AWARDDP1OD000945 · OD · UNIVERSITY OF MASSACHUSETTS AMHERST · PI GIERASCH, LILA M · 2006 to 2010
$3.9M
NIH HHS DP1 OD000945
6 · The paper itself

Abstract

This review discusses the inherent challenge of linking "reductionist" approaches to decipher the information encoded in protein sequences with burgeoning efforts to explore protein folding in native environments-"postreductionist" approaches. Because the invitation to write this article came as a result of my selection to receive the 2010 Dorothy Hodgkin Award of the Protein Society, I use examples from my own work to illustrate the evolution from the reductionist to the postreductionist perspective. I am incredibly honored to receive the Hodgkin Award, but I want to emphasize that it is the combined effort, creativity, and talent of many students, postdoctoral fellows, and collaborators over several years that has led to any accomplishments on which this selection is based. Moreover, I do not claim to have unique insight into the topics discussed here; but this writing opportunity allows me to illustrate some threads in the evolution of protein folding research with my own experiences and to point out to those embarking on careers how the twists and turns in anyone's scientific path are influenced and enriched by the scientific context of our research. The path my own career has taken thus far has been shaped by the timing of discoveries in the field of protein science; together with our contemporaries, we become part of a knowledge evolution. In my own case, this has been an epoch of great discovery in protein folding and I feel very fortunate to have participated in it.

Indexed as

Protein FoldingMolecular StructurePeptidesProtein BindingProteinsResearchResearch DesignPeptidesProteins

Identifiers

PMID21404361
PMCPMC3125863

What OpenQuestion holds

Textmetadata
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.