ArticleFrontiers in genetics2021
NetGenes: A Database of Essential Genes Predicted Using Features From Interaction Networks.
Article in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Antibiotic target discovery by integrated phenotypic and activity-based profiling of electrophilic fragments.Cell chemical biology · 2025Article
- Recent advances in the characterization of essential genes and development of a database of essential genes.iMeta · 2024Review
- Identification of discriminant features from stationary pattern of nucleotide bases and their application to essential gene classification.Frontiers in genetics · 2023Article
- Bacterial genome reductions: Tools, applications, and challenges.Frontiers in genome editing · 2022Review
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Authors and funding
3 authors.
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Abstract
Essential gene prediction models built so far are heavily reliant on sequence-based features, and the scope of network-based features has been narrow. Previous work from our group demonstrated the importance of using network-based features for predicting essential genes with high accuracy. Here, we apply our approach for the prediction of essential genes to organisms from the STRING database and host the results in a standalone website. Our database, NetGenes, contains essential gene predictions for 2,700+ bacteria predicted using features derived from STRING protein-protein functional association networks. Housing a total of over 2.1 million genes, NetGenes offers various features like essentiality scores, annotations, and feature vectors for each gene. NetGenes database is available from https://rbc-dsai-iitm.github.io/NetGenes/.
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