Evidence map›Paper›PMID 22973264›Full record

ArticleFrontiers in microbiology2012

Structural basis for specific recognition of substrates by sapovirus protease.

Masaru Yokoyama, Tomoichiro Oka, Hirotatsu Kojima, Tetsuo Nagano, Takayoshi Okabe, Kazuhiko Katayama, Takaji Wakita, Tadahito Kanda, Hironori Sato

Open access · goldAbstract read
In one paragraph

Article in Frontiers in microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Comprehensive review of human sapoviruses.Clinical microbiology reviews · 2015
    Review
  6. Article
  7. 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

9 authors at 3 institutions in 2 countries.

Masaru YokoyamaPathogen Genomics Center, National Institute of Infectious Diseases Tokyo, Japan.
Tomoichiro Oka
Hirotatsu Kojima
Tetsuo Nagano
Takayoshi Okabe
Kazuhiko Katayama
Takaji Wakita
Tadahito Kanda
Hironori Sato
National Institute of Infectious Diseases · JPThe Open University of Japan · JPThe Ohio State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sapovirus (SaV) protease catalyzes cleavage of the peptide bonds at six sites of a viral polyprotein for the viral replication and maturation. However, the mechanisms by which the protease recognizes the distinct sequences of the six cleavage sites remain poorly understood. Here we examined this issue by computational and experimental approaches. A structural modeling and docking study disclosed two small clefts on the SaV protease cavity that allow the stable and functional binding of substrates to the catalytic cavity via aromatic stacking and electrostatic interactions. An information entropy study and a site-directed mutagenesis study consistently suggested variability of the two clefts under functional constraints. Using this information, we identified three chemical compounds that had structural and spatial features resembling those of the substrate amino acid residues bound to the two clefts and that exhibited an inhibitory effect on SaV protease in vitro. These results suggest that the two clefts provide structural base points to realize the functional binding of various substrates.

Indexed as

3-D models3-D pharmacophoreamino acid diversityinhibitor screeningmutagenesisP1 and P4 amino acid residuessapovirus proteasesubstrate recognition

Identifiers

PMID22973264
PMCPMC3433708
OpenAlexW1988598393

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.