Evidence map›Paper›PMID 16081531›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2005

Protein-folding landscapes in multichain systems.

Troy Cellmer, Dusan Bratko, John M Prausnitz, Harvey Blanch

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.1field-weighted citation impact, top 14% of its field
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

9 citing papers in PubMed, 46 citations in OpenAlex.

  1. Review
  2. Free energy landscapes for initiation and branching of protein aggregation.Proceedings of the National Academy of Sciences of the United States of America · 2013
    Article
  3. Article
  4. Probing surface tension additivity on chemically heterogeneous surfaces by a molecular approach.Proceedings of the National Academy of Sciences of the United States of America · 2011
    Article
  5. Article
  6. Article
  7. Protein aggregation in silico.Trends in biotechnology · 2007
    Review
  8. Article
  9. Review
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 at 3 institutions in 1 country.

Troy CellmerDepartment of Chemical Engineering, University of California, Berkeley, CA 94720, USA.
Dusan Bratko
John M Prausnitz
Harvey Blanch
Virginia Commonwealth University · USLawrence Berkeley National Laboratory · USUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Computational studies of proteins have significantly improved our understanding of protein folding. These studies are normally carried out by using chains in isolation. However, in many systems of practical interest, proteins fold in the presence of other molecules. To obtain insight into folding in such situations, we compare the thermodynamics of folding for a Miyazawa-Jernigan model 64-mer in isolation to results obtained in the presence of additional chains. The melting temperature falls as the chain concentration increases. In multichain systems, free-energy landscapes for folding show an increased preference for misfolded states. Misfolding is accompanied by an increase in interprotein interactions; however, near the folding temperature, the transition from folded chains to misfolded and associated chains is entropically driven. A majority of the most probable interprotein contacts are also native contacts, suggesting that native topology plays a role in early stages of aggregation.

Indexed as

Protein FoldingAmino AcidsModels, MolecularProtein ConformationProteinsTemperatureThermodynamicsTransition TemperatureAmino AcidsProteins

Identifiers

PMID16081531
PMCPMC1188005
OpenAlexW1973099019

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.