Streptomyces VITGV100 Genome Mining Data for Antimicrobial Discovery

Data Sheet 1_Genome mining strategies to unlock the metabolic potential of Streptomyces sp. VITGV100 (MCC 4961) for next-generation antimicrobial discovery.pdf contains computational and experimental data from an endophytic Streptomyces strain. The dataset includes genome sequencing results, antiSMASH analysis predicting 35 compounds across multiple biosynthetic gene clusters, and in silico pharmacokinetic and target prediction data. It was authored by Veilumuthu Pattapulavar and last updated on 2026-05-14.

Use Cases

• Prioritizing drug-like metabolites based on in silico pharmacokinetic profiles described in the study.
• Identifying potential antibacterial targets using molecular docking and dynamic simulation results mentioned in the description.
• Studying biosynthetic gene clusters for non-ribosomal peptide synthetases, polyketide synthases, and RiPPs as detailed in the methods.
• Validating computational predictions of antimicrobial activity with in vitro assay results against E. coli and S. aureus.

Strengths

• Integrates multiple analysis methods: genome sequencing, antiSMASH, SwissADME, SwissTargetPrediction, and molecular docking.
• Includes experimental validation with in vitro antibacterial assays showing 15–20 mm inhibitory zones.
• Identifies 11 compounds with favorable drug-like properties and no Lipinski violations.
• Target mapping implicated clinically relevant proteins such as carbonic anhydrase 2 (CA2), PARP1, and PPARA.

Limitations

• Dataset is a single 136.6 KB PDF file; underlying structured data (e.g., columnar results) is not directly accessible.
• Row count and column-level documentation are absent; field semantics must be inferred from the document.
• Data is specific to a single Streptomyces strain (VITGV100), limiting generalizability.

Provenance

Source

Veilumuthu Pattapulavar via figshare.

Collection Method

Genome sequencing and analysis of an endophytic Streptomyces strain isolated from tomato stems.

Freshness

Last updated 2026-05-14 05:43:17; freshness should be verified.