ArticleBioinformatics and biology insights2019
Genome-Wide Analysis of Domain-Swap Predicted Products in the Genome of Anti-Stress Medicinal Plant:
Article in Bioinformatics and biology insights, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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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.
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.
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Who cites it
0 citing papers in PubMed, 6 citations in OpenAlex.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Computational approaches to high-throughput data are gaining importance because of explosion of sequences in the post-genomic era. This explosion of sequence data creates a huge gap among the domains of sequence structure and function, since the experimental techniques to determine the structure and function are very expensive, time taking, and laborious in nature. Therefore, there is an urgent need to emphasize on the development of computational approaches in the field of biological systems. Engagement of proteins in quaternary arrangements, such as domain swapping, might be relevant for higher compatibility of such genes at stress conditions. In this study, the capacity to engage in domain swapping was predicted from mere sequence information in the whole genome of holy Basil (
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Registered trials
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 Socratic graph.