Geminivirus Database (GVDB): First Database of Family Geminiviridae and its genera Begomovirus

Prajapat, Rajneesh; Marwal, Avinash; Shaikh, Zuber; Gaur, Rajarshi Kumar

doi:10.3923/pjbs.2012.702.706

Cited by 10 publications

(2 citation statements)

References 12 publications

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“…Consequently, diagnosing host for viruses at earliest is the prime approach toward controlling and eliminating harmful virus [12,13]. The starter of a novel class of nanoscale particles with numerous exceptional properties and functions has flashed a series of innovative applications [14]. Engineered nano-materials (nanoparticles) range from 1 to 100 nm in size [15].…”

Section: Introductionmentioning

confidence: 99%

Nanophytovirology: An Emerging Field for Disease Management

Marwal¹,

Gaur²

2020

Plant Diseases - Current Threats and Management Trends

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Nanotechnology positions as a new armament in our collection against the increasing challenges in disease management and plant/human health. The application of nanotechnology in plant/human disease administration, diagnosis, and genetic transformations is still in its early stages. Apart from the scope of this chapter, there is also a mounting collection of new tools and techniques where nanoparticles are employed as delivery vehicles for genetic material in plants. Due to their nanoscale dimensions, nanoparticles may knockout virus particles and thus may open a novel arena of virus control in plants/humans. Our aim is to enlighten and enthuse researchers about the swiftly expanding prospects of nanotechnology in plant pathology i.e., "nanophytovirology."

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Section: Introductionmentioning

confidence: 99%

Nanophytovirology: An Emerging Field for Disease Management

Marwal¹,

Gaur²

2020

Plant Diseases - Current Threats and Management Trends

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“…The surface glycoprotein [QHD43416] sequence of SARS-CoV-2 was retrieved from NCBI and its PDB file was designed by using phyre 2 server. The analysis of sequence, algorithm design and biological data management is possible by in-silico methods [7,8,9,10]. In present study, the surface glycoprotein [QHD43416] of SARS-CoV-2 was characterized for structure analysis and validation to provide information about its three-dimensional structure by using in silico tools and techniques.…”

Section: Introductionmentioning

confidence: 99%

In Silico Characterization of Surface Glycoprotein [QHD43416] of Severe Acute Respiratory Syndrome-Coronavirus 2

Prajapat¹,

Jain²,

Vaishnav³

et al. 2020

Chinese J Med Res

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The novel coronavirus (SARS-CoV-2) reported from Wuhan, China, that spread rapidly and cause severe acute respiratory syndrome. The disease associated with infection of SARS-CoV-2 that is referred as COVID-19 (Coronavirus Disease 2019). In the present study, the surface glycoprotein [QHD43416] of SARS-CoV-2 was characterized for structure analysis and validation to provide information about its three-dimensional structure by using in silico tools and techniques. The surface glycoprotein [QHD43416] sequence of SARS-CoV-2 was retrieved from NCBI and its PDB file was designed by using phyre2 server. The RAMPAGE and UCLA-DOE (Verify 3D) was used for analysis and validation of structure model of protein. The model quality estimation based on the ProSA. Alignment of surface glycoprotein [QHD43416], revealed homology (72% identity) with spike protein of bat coronavirus [BM48-31/BGR/2008]. The model corresponding to probability conformation with 90.5% residue of core section, 9.1 % of allowed section and 0.4 % residue of outer section in φ-ψ plot, that specifies accuracy of prediction model. The Verify 3D results shows that 59.53% residues have average 3D-1D score >= 0.2 this determines compatibility of 3D model with its amino acid sequence (1D). ProSA Z-score -11.19 represents the good quality of the model. The structure and function of coronavirus surface glycoprotein could be predicted by in silico modeling studies. The protein model will be further used for designing of vaccine / drug development against coronavirus infection.

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