Evidence map›Paper›PMID 31435159›Full record

ArticleBioinformation2019

Insights from the molecular docking analysis of phytohormone reveal brassinolide interaction with HSC70 from Pennisetum glaucum.

Gugulothu Baloji, Shobharani Pasham, Vinodha Mahankali, Mallikarjuna Garladinne, Srinivas Ankanagari

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.7field-weighted citation impact, top 31% 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

6 citing papers in PubMed, 10 citations in OpenAlex.

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  6. Genome-wide analysis ofPhysiology and molecular biology of plants : an international journal of functional plant biology · 2020
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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 2 institutions in 1 country.

Gugulothu BalojiDepartment of Genetics and Biotechnology, Osmania University,Hyderabad (T.S) - 500 007,India.
Shobharani PashamDepartment of Genetics and Biotechnology, Osmania University,Hyderabad (T.S) - 500 007,India.
Vinodha MahankaliDepartment of Genetics and Biotechnology, Osmania University,Hyderabad (T.S) - 500 007,India.
Mallikarjuna GarladinnePlant Molecular Biology Laboratory,Agri Biotech Foundation,Rajendra Nagar,Hyderabad (T.S) 500 030,India.
Srinivas AnkanagariDepartment of Genetics and Biotechnology, Osmania University,Hyderabad (T.S) - 500 007,India.
Osmania University · INAgri Biotech Foundation · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The prevailing abiotic stresses, especially heat stress is of great significance on the growth of plants, yield and distribution. In the conditions of heat stress, plants modulate protein processes leading to development of heat tolerance. Of such proteins, the molecular chaperone functions of HSP70/HSC70 proteins are important where their enhanced expression positively correlates with the acquisition of heat tolerance. The key players in the regulation of such tailored protein responses of plants to heat stress are the phytohormones. In the present study, phytohormone mediated interaction of Pennisetum glaucum HSC70 (PgHSC70) protein was performed through docking studies involving sequence analysis, 3D modeling and model evaluation. In silico analysis has shown better interaction and good binding energy of PgHSC70 with the phytohormone brassinolide. Furthermore, the predicted structural information can be helpful for future studies on role of interaction between HSC70 and brassinolide in heat tolerance.

Indexed as

heat stressheat toleranceHSP70/HSC70phytohormones

Identifiers

PMID31435159
PMCPMC6677904
OpenAlexW2953782018

What OpenQuestion holds

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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.