ArticleFrontiers in microbiology2019
Geptop 2.0: An Updated, More Precise, and Faster Geptop Server for Identification of Prokaryotic Essential Genes.
Article in Frontiers in microbiology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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35 citing papers in PubMed.
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- A proteome-driven strategy to discover novel therapeutic targets in Orientia tsutsugamushi.Antonie van Leeuwenhoek · 2026Article
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- Graph-based and molecular modeling approaches to identify TpiA as a noval therapeutic target in Neisseria meningitidis.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Proton pump inhibitor exposure modulates functional and transcriptional responses inFrontiers in cellular and infection microbiology · 2026Article
- Immunoinformatics-driven design of a multi-epitope vaccine againstFrontiers in immunology · 2026Article
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- Pangenome-Guided Reverse Vaccinology and Immunoinformatics Approach for Rational Design of a Multi-Epitope Subunit Vaccine Candidate Against the Multidrug-Resistant PathogenPharmaceuticals (Basel, Switzerland) · 2025Article
- Computational identification of potential antifungal targets against Claviceps purpurea via MD simulation and MM/GBSA.Scientific reports · 2025Article
- In Silico Development of a Chimeric Multi-Epitope Vaccine TargetingPharmaceuticals (Basel, Switzerland) · 2025Article
- Pan-vaccinomics strategy for developing a universal multi-epitope vaccine against endocarditis-related pathogens.Frontiers in immunology · 2025Article
- Computational Strategies in Drug Discovery: Leveraging Subtractive Genomic Analysis for Target Identification.Current pharmaceutical biotechnology · 2025Review
- Development of a Novel mRNA Vaccine AgainstBioinformatics and biology insights · 2025Article
- Human essential gene identification based on feature fusion and feature screening.IET systems biology · 2024Article
- In Silico Subtractive Proteome Analysis to Design Multi-Epitope-Based Subunit Vaccine againstJournal of microbiology and biotechnology · 2024Article
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- Recent advances in the characterization of essential genes and development of a database of essential genes.iMeta · 2024Review
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Geptop has performed effectively in the identification of prokaryotic essential genes since its first release in 2013. It estimates gene essentiality for prokaryotes based on orthology and phylogeny. Genome-scale essentiality data of more prokaryotic species are available, and the information has been collected into public essential gene repositories such as DEG and OGEE. A faster and more accurate toolkit is needed to meet the increasing prokaryotic genome data. We updated Geptop by supplementing more validated essentiality data into reference set (from 19 to 37 species), and introducing multi-process technology to accelerate the computing speed. Compared with Geptop 1.0 and other gene essentiality prediction models, Geptop 2.0 can generate more stable predictions and finish the computation in a shorter time. The software is available both as an online server and a downloadable standalone application. We hope that the improved Geptop 2.0 will facilitate researches in gene essentiality and the development of novel antibacterial drugs. The gene essentiality prediction tool is available at http://cefg.uestc.cn/geptop.
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