Evidence map›Paper›PMID 31531077›Full record

ArticleIranian journal of pharmaceutical research : IJPR2019

Optimization and High Level Production of Recombinant Synthetic Streptokinase in

Mojtaba Aghaeepoor, Ali Akbarzadeh, Farzad Kobarfard, Ali Akbar Shabani, Ehsan Dehnavi, Sanaz Jamshidi Aval, Mohammad Reza Akbari Eidgahi

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

Article in Iranian journal of pharmaceutical research : IJPR, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.0field-weighted citation impact, top 23% 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

5 citing papers in PubMed, 14 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Optimization ofAvicenna journal of medical biotechnology
    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

7 authors at 3 institutions in 1 country.

Mojtaba AghaeepoorDepartment and Biotechnology Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Ali AkbarzadehStudent Research Committee, Semnan University of Medical Sciences, Semnan, Iran.
Farzad KobarfardDepartment of Medicinal Chemistry, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali Akbar ShabaniDepartment and Biotechnology Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Ehsan DehnaviStudent Research Committee, Semnan University of Medical Sciences, Semnan, Iran.
Sanaz Jamshidi AvalStudent Research Committee, Semnan University of Medical Sciences, Semnan, Iran.
Mohammad Reza Akbari EidgahiDepartment and Biotechnology Research Center, Semnan University of Medical Sciences, Semnan, Iran.
Semnan University of Medical Sciences · IRShahid Beheshti University of Medical Sciences · IRBiotechnology Research Center · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Streptokinase (SK) is an extracellular protein comprising 414 amino acids with considerable clinical importance as a commonly used thrombolytic agent. Due to its wide spread application and clinical importance designing more efficient SK production platforms worth investigation. In this regard, a synthetic SK gene was optimized and cloned in to pET21b plasmid for periplasmic expression. Response surface methodology was used to design a total of 20 experiments for optimization of IPTG concentration, post-induction period, and cell density of induction (OD

Indexed as

Escherichia coliExpression optimizationResponse surface methodologyStreptokinaseSynthetic gene

Identifiers

PMID31531077
PMCPMC6706719
OpenAlexW2923365641

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.