Evidence map›Paper›PMID 20421501›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2010

Global characteristics of protein sequences and their implications.

S Rackovsky

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. The structure of protein dynamic space.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  4. CXCR3 Identifies Human Naive CD8Journal of immunology (Baltimore, Md. : 1950) · 2019
    Article
  5. Article
  6. Memory CD4Nature immunology · 2019
    Article
  7. Article
  8. Article
  9. Global informatics and physical property selection in protein sequences.Proceedings of the National Academy of Sciences of the United States of America · 2016
    Article
  10. Article
  11. Article
  12. Homolog detection using global sequence properties suggests an alternate view of structural encoding in protein sequences.Proceedings of the National Academy of Sciences of the United States of America · 2014
    Article
  13. Article
  14. Article
  15. 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.

S RackovskyDepartment of Pharmacology and Systems Therapeutics, Mount Sinai School of Medicine of New York University, New York, NY 10029, USA. Shalom.Rackovsky@mssm.edu

Funding

OPTIMIZED PROTEIN INFORMATICSR01LM006789 · NLM · MOUNT SINAI SCHOOL OF MEDICINE OF NYU · PI RACKOVSKY, SHALOM R · 2001 to 2007
$1.9M
NLM NIH HHS LM06789NLM NIH HHS R01 LM006789
6 · The paper itself

Abstract

Computational studies of the relationships between protein sequence, structure, and folding have traditionally relied on purely local sequence representations. Here we show that global representations, on the basis of parameters that encode information about complete sequences, contain otherwise inaccessible information about the organization of sequences. By studying the spectral properties of these parameters, we demonstrate that amino acid physical properties fall into two distinct classes. One class is comprised of properties that favor sequentially localized interaction clusters. The other class is comprised of properties that favor globally distributed interactions. This observation provides a bridge between two classic models of protein folding-the collapse model and the nucleation model-and provides a basis for understanding how any degree of intermediacy between these two extremes can occur.

Indexed as

Sequence Analysis, ProteinAmino Acid SequenceMolecular Sequence DataProteinsProteins

Identifiers

PMID20421501
PMCPMC2889366

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.