Evidence map›Paper›PMID 38965105›Full record

ArticleJournal of molecular modeling2024

Structural and molecular dynamics simulation studies of CBL-interacting protein kinase CIPK and its complexes related to plant salinity stress.

Prabir Kumar Das, Tanya Bhatnagar, Sanhita Banik, Sambit Majumdar, Debajyoti Dutta

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Article in Journal of molecular modeling, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
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

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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

4 citing papers in PubMed.

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4 · The record

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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.

Prabir Kumar DasMIGAL Galilee Research Institute, Kiryat Shmona, Israel. Prabirk@migal.org.il.ORCID http://orcid.org/0000-0002-4927-0293
Tanya BhatnagarDepartment of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India.
Sanhita BanikDepartment of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India.
Sambit MajumdarDepartment of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India.
Debajyoti DuttaDepartment of Biotechnology, Thapar Institute of Engineering and Technology, Patiala, India. debajyoti.47@gmail.com.ORCID http://orcid.org/0000-0003-0403-2192

Funding

Science and Engineering Research Board SRG/2022/000035 dt. 26/10/2022Thapar Institute of Engineering and Technology Institutional PhD fellowship
6 · The paper itself

Abstract

contextCalcium-dependent signaling in plants is responsible for several major cellular events, including the activation of the salinity-responsive pathways. Calcium binds to calcineurin B-like protein (CBL), and the resulting CBL-Ca

methodsComputational methods are used to model the entire Arabidopsis thaliana CIPK24 protein structure in its autoinhibited and open-activated states. Arabidopsis thaliana CIPK24-CBL4 complex is predicted based on the protein-protein docking methods. The available structural and functional data support the CIPK24 and the CIPK24-CBL4 complex models. Models are energy-minimized and subjected to molecular dynamics (MD) simulations. MD simulations for 500 ns and 300 ns enabled us to predict the importance of conserved residues of the proteins. Finally, the work is extended to predict the CIPK24-CBL4 complex with the upstream kinase GRIK2. MD simulation for 300 ns on the ternary complex structure enabled us to identify the critical CIPK24-GRIK2 interactions. Together, these data could be used to engineer the CBL-CIPK interaction network for developing salt tolerance in crops.

Indexed as

ArabidopsisArabidopsis ProteinsCalcium-Binding ProteinsMolecular Dynamics SimulationProtein Serine-Threonine KinasesSalt StressMolecular Docking SimulationPhosphorylationProtein BindingArabidopsis ProteinsAt5g01820 protein, ArabidopsisCalcium-Binding ProteinsProtein Serine-Threonine KinasesSOS2 protein, ArabidopsisSOS3 protein, ArabidopsisCalcineurin B-like proteinCBL-interacting protein kinasePlant salt toleranceProtein kinaseProtein–protein interactions

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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.