Evidence map›Paper›PMID 39306651›Full record

ArticleThe protein journal2024

Characterization of Cationic Amino Acid Binding Protein from Candidatus Liberibacter Asiaticus and in Silico Study to Identify Potential Inhibitor Molecules.

Sapna Lonare, Deena Nath Gupta, Harry Kaur, Surabhi Rode, Shalja Verma, Mrugendra Gubyad, Dilip Kumar Ghosh, Pravindra Kumar, Ashwani Kumar Sharma

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Article in The protein journal, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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9 authors.

Sapna LonareDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Deena Nath GuptaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Harry KaurDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Surabhi RodeDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Shalja VermaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Mrugendra GubyadPlant Virology Laboratory, ICAR Central Citrus Research Institute, Nagpur, India.
Dilip Kumar GhoshPlant Virology Laboratory, ICAR Central Citrus Research Institute, Nagpur, India.
Pravindra KumarDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India.
Ashwani Kumar SharmaDepartment of Biosciences and Bioengineering, Indian Institute of Technology Roorkee, Roorkee, 247667, India. ashwani.sharma@bt.iitr.ac.in.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cationic amino acid binding protein (CLasArgBP), one of the two amino acid binding receptor in Candidatus Liberibacter asiaticus (CLas), is predominately expressed in citrus psyllids as a part of ATP-binding cassette transport system. The present study describes characterization of CLasArgBP by various biophysical techniques and in silico study, to identify potential inhibitor molecules against CLasArgBP through virtual screening and MD simulations. Further, in planta study was carried out to assess the effect of selected inhibitors on Huanglongbing infected Mosambi plants. The results showed that CLasArgBP exhibits pronounced specificity for arginine, histidine and lysine. Surface plasmon resonance (SPR) study reports highest binding affinity for arginine (Kd, 0.14 µM), compared to histidine and lysine (Kd, 15 µΜ and 26 µΜ, respectively). Likewise, Differential Scanning Calorimetry (DSC) study showed higher stability of CLasArgBP for arginine, compared to histidine and lysine. N(omega)-nitro-L-arginine, Gamma-hydroxy-L-arginine and Gigartinine emerged as lead compounds through in silico study displaying higher binding energy and stability compared to arginine. SPR reports elevated binding affinities for N(omega)-nitro-L-arginine and Gamma-hydroxy-L-arginine (Kd, 0.038 µΜ and 0.061 µΜ, respectively) relative to arginine. DSC studies showed enhanced thermal stability for CLasArgBP in complex with selected inhibitors. Circular dichroism and fluorescence studies showed pronounced conformational changes in CLasArgBP with selected inhibitors than with arginine. In planta study demonstrated a substantial decrease in CLas titer in treated plants as compared to control plants. Overall, the study provides the first comprehensive characterization of cationic amino acid binding protein from CLas, as a potential drug target to manage HLB disease.

Indexed as

Bacterial ProteinsArginineCitrusLiberibacterMolecular Dynamics SimulationPlant DiseasesRhizobiaceaeArginineBacterial ProteinsCandidatus Liberibacter asiaticusCationic amino acid binding proteinDifferential scanning calorimetryHuanglongbingSurface plasmon resonanceTaqMan-qPCR

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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.