Evidence map›Paper›PMID 18421562›Full record

ReviewAmino acids2008

Bridging protein local structures and protein functions.

Zhi-Ping Liu, Ling-Yun Wu, Yong Wang, Xiang-Sun Zhang, Luonan Chen

Abstract readReview
In one paragraph

Review in Amino acids, 2008. 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. Language models can identify enzymatic binding sites in protein sequences.Computational and structural biotechnology journal · 2024
    Article
  4. Exploration of Molecular Mechanisms of Immunity in the Pacific Oyster (Animals : an open access journal from MDPI · 2024
    Article
  5. Article
  6. Article
  7. Article
  8. BIOPEP-UWM Database of Bioactive Peptides: Current Opportunities.International journal of molecular sciences · 2019
    Article
  9. Article
  10. Review
  11. Article
  12. 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

5 authors.

Zhi-Ping LiuAcademy of Mathematics and Systems Science, Chinese Academy of Sciences, 100080, Beijing, China.
Ling-Yun Wu
Yong Wang
Xiang-Sun Zhang
Luonan Chen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of the major goals of molecular and evolutionary biology is to understand the functions of proteins by extracting functional information from protein sequences, structures and interactions. In this review, we summarize the repertoire of methods currently being applied and report recent progress in the field of in silico annotation of protein function based on the accumulation of vast amounts of sequence and structure data. In particular, we emphasize the newly developed structure-based methods, which are able to identify locally structural motifs and reveal their relationship with protein functions. These methods include computational tools to identify the structural motifs and reveal the strong relationship between these pre-computed local structures and protein functions. We also discuss remaining problems and possible directions for this exciting and challenging area.

Indexed as

AnimalsArtificial IntelligenceComputational BiologyHumansProteinsSequence Analysis, ProteinStructure-Activity RelationshipProteins

Identifiers

PMID18421562
PMCPMC7088341

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.