Evidence map›Paper›PMID 42137502›Full record

ArticleFrontiers in bioinformatics2026

Comprehensive genomics, systems, and structural assessment for novel target identification in penicillin-resistant

Avani Panickar, Suvitha Anbarasu, Anand Manoharan, Sudha Ramaiah, Anand Anbarasu

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

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.

Avani PanickarMedical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
Suvitha AnbarasuMedical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
Anand ManoharanInfectious Diseases Medical and Scientific Affairs, GlaxoSmithKline (GSK), Worli, Maharashtra, India.
Sudha RamaiahMedical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.
Anand AnbarasuMedical and Biological Computing Laboratory, School of Biosciences and Technology, Vellore Institute of Technology (VIT), Vellore, Tamil Nadu, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The increasing prevalence of penicillin-resistant Methodology: A total of 665 PRSP genomes from Indian clinical isolates collected between 1996 and 2022 were analyzed. High-quality genome assemblies were annotated and used for pangenome construction and GWASs to identify gene clusters associated with penicillin resistance. Candidate genes were further prioritized through essentiality screening, functional annotation, subcellular localization prediction, evolutionary conservation analysis, druggability assessment, and structural modeling. Results: Integrated analysis identified OppC2, an essential oligopeptide permease of the ABC transporter family, as a highly favorable drug target. Network and functional enrichment analyses linked OppC2 to transport-associated pathways relevant to pneumococcal survival and adaptation. Structural modeling revealed a high-confidence protein model with a druggable binding pocket, while molecular dynamics simulations confirmed the stability of the structure in a physiological membrane environment. Conclusion: This comprehensive approach enabled the identification of conserved, essential, and accessible drug targets within PRSP populations, providing an adaptable framework to guide next-generation antimicrobial target identification beyond traditional PBPs.

Indexed as

alternative targetantimicrobial resistanceessential gene analysisgenome-wide association studymembrane-protein simulationoligopeptide permease

Identifiers

PMID42137502
PMCPMC13168064

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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.