Evidence map›Paper›PMID 28497061›Full record

ArticleBioMed research international2017

Mining of Microbial Genomes for the Novel Sources of Nitrilases.

Nikhil Sharma, Neerja Thakur, Tilak Raj, Savitri, Tek Chand Bhalla

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2017. 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
1.7field-weighted citation impact, top 19% 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, 16 citations in OpenAlex.

  1. Genomic Insights into Cyanide Biodegradation in theInternational journal of molecular sciences · 2024
    Article
  2. Article
  3. Purification and Characterization of NitFrontiers in bioengineering and biotechnology · 2021
    Article
  4. Review
  5. 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 at 1 institution in 1 country.

Nikhil SharmaSub-Distributed Information Centre, Himachal Pradesh University, Summer Hill, Shimla 171005, India.
Neerja ThakurDepartment of Biotechnology, Himachal Pradesh University, Summer Hill, Shimla 171005, India.
Tilak RajSub-Distributed Information Centre, Himachal Pradesh University, Summer Hill, Shimla 171005, India.
SavitriDepartment of Biotechnology, Himachal Pradesh University, Summer Hill, Shimla 171005, India.
Tek Chand BhallaDepartment of Biotechnology, Himachal Pradesh University, Summer Hill, Shimla 171005, India.ORCID 0000-0002-3244-2685
Himachal Pradesh University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Next-generation DNA sequencing (NGS) has made it feasible to sequence large number of microbial genomes and advancements in computational biology have opened enormous opportunities to mine genome sequence data for novel genes and enzymes or their sources. In the present communication in silico mining of microbial genomes has been carried out to find novel sources of nitrilases. The sequences selected were analyzed for homology and considered for designing motifs. The manually designed motifs based on amino acid sequences of nitrilases were used to screen 2000 microbial genomes (translated to proteomes). This resulted in identification of one hundred thirty-eight putative/hypothetical sequences which could potentially code for nitrilase activity. In vitro validation of nine predicted sources of nitrilases was done for nitrile/cyanide hydrolyzing activity. Out of nine predicted nitrilases,

Indexed as

Genome, BacterialHigh-Throughput Nucleotide SequencingAminohydrolasesBacteriaBacterial ProteinsSequence Analysis, DNAAminohydrolasesBacterial Proteinsnitrilase

Identifiers

PMID28497061
PMCPMC5405348
OpenAlexW2606023353

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.