Table 1_Comprehensive genomics, systems, and structural assessment for novel target identi

665 PRSP genomes from Indian clinical isolates collected between 1996 and 2022 were analyzed for novel antimicrobial target identification. The dataset likely contains results from an integrated in silico strategy employing genomics, GWAS, network analysis, and structural modeling. It was authored by Avani Panickar and published on figshare under a CC-BY-4.0 license.

Use Cases

• Identifying gene clusters associated with penicillin resistance based on genome-wide association studies
• Prioritizing candidate drug targets based on essentiality screening and druggability assessment
• Analyzing evolutionary conservation of potential targets across the PRSP population
• Modeling protein structures and binding pockets for identified targets like OppC2

Strengths

• Includes 665 high-quality genome assemblies from a defined temporal range (1996-2022)
• Integrates multiple analysis methodologies (GWAS, network analysis, structural modeling) described in the study
• Published under an open CC-BY-4.0 license

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment
• The dataset is very small (25.9 KB), suggesting it contains summary results rather than raw genomic data
• Geographic scope is limited to Indian clinical isolates

Provenance

Source

figshare

Collection Method

Genomes were assembled, annotated, and analyzed from clinical isolates.

Time Range

1996-2022

Freshness

Last updated 2026-04-29 05:54:26

Geography

India