Evidence map›Paper›PMID 29849611›Full record

ArticleAdvances in bioinformatics2018

In Silico Characterization and Structural Modeling of

Martin Omulindi Oyugi, Johnson Kangethe Kinyua, Esther Nkirote Magiri, Milcah Wagio Kigoni, Evenilton Pessoa Costa, Naftaly Wang'ombe Githaka

Open access · hybridAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Advances in bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 35% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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

6 authors at 5 institutions in 2 countries.

Martin Omulindi OyugiDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000, Nairobi 00200, Kenya.ORCID 0000-0001-7760-8151
Johnson Kangethe KinyuaDepartment of Biochemistry, Jomo Kenyatta University of Agriculture and Technology, P.O. Box 62000, Nairobi 00200, Kenya.
Esther Nkirote MagiriCooperative University of Kenya, P.O. Box 24814, Nairobi 00502, Kenya.
Milcah Wagio KigoniDepartment of Biochemistry, Kenyatta University, P.O. Box 43844, Nairobi 00100, Kenya.
Evenilton Pessoa CostaUnit of Animal Experimentation, State University of North Fluminense, Centre of Biosciences and Biotechnology, Campos dos Goytacazes, RJ, Brazil.
Naftaly Wang'ombe GithakaAnimal and Human Health Program, International Livestock Research Institute, P.O. Box 30709, Nairobi 00100, Kenya.
Jomo Kenyatta University of Agriculture and Technology · KEInternational Livestock Research Institute · KEKenyatta University · KEState University of Norte Fluminense · BRUniversity of Nairobi · KE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ticks cause approximately $17-19 billion economic losses to the livestock industry globally. Development of recombinant antitick vaccine is greatly hindered by insufficient knowledge and understanding of proteins expressed by ticks. Ticks secrete immunosuppressant proteins that modulate the host's immune system during blood feeding; these molecules could be a target for antivector vaccine development. Recombinant p36, a 36 kDa immunosuppressor from the saliva of female

Identifiers

PMID29849611
PMCPMC5911333
OpenAlexW2795604175

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.