ArticleScientific reports2020
BacEffluxPred: A two-tier system to predict and categorize bacterial efflux mediated antibiotic resistance proteins.
Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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12 citing papers in PubMed, 22 citations in OpenAlex.
- Integrated bioinformatics and experimental analysis identify apoptosis- and pyroptosis-related hub genes as candidate diagnostic biomarkers in Alzheimer's disease.Journal of applied genetics · 2026Article
- A stacked ensemble classifier for the discovery of prokaryotic efflux proteins based on sequence information.BMC genomics · 2025Article
- Measurement and prediction of small molecule retention by Gram-negative bacteria based on a large-scale LC/MS screen.Scientific reports · 2025Article
- Unlocking the Gates: A Novel Diagnostic Molecule for Quantifying Efflux Levels in Gram-Positive Bacteria.Advanced healthcare materials · 2025Article
- Artificial intelligence tools for the identification of antibiotic resistance genes.Frontiers in microbiology · 2024Review
- Transcriptomic analysis using RNA sequencing and phenotypic analysis ofFrontiers in microbiology · 2024Article
- Genomic analysis of phylogroup D Escherichia coli strains using novel de-novo reference-based guided assembly.Scientific data · 2023Article
- Comprehensive genomic analysis of hypocholesterolemic probioticFrontiers in nutrition · 2023Article
- Article
- BacARscan: anBiology methods & protocols · 2022Article
- β-LacFamPred: An online tool for prediction and classification of β-lactamase class, subclass, and family.Frontiers in microbiology · 2022Article
- Accelerating antibiotic discovery through artificial intelligence.Communications biology · 2021Review
Corrections and comments
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Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Efflux proteins are transport proteins, which are involved in transporting different substrates from the cell to the external environment, including antibiotics. The efflux mechanism and efflux pumps are a major reason underlying emerging rampant antibiotic resistance (AR) in microbes. To reduce the resources required and time of identification, characterization and classification of bacterial efflux proteins, we have developed a fast and accurate support vector machine based two-tier prediction system, BacEffluxPred, which can predict bacterial efflux proteins responsible for AR and identify their corresponding families. A leave-one-out cross-validation also called jackknife procedure was used for performance evaluation. The accuracy to discriminate bacterial AR efflux from non-AR efflux was obtained as 85.81% (at tier-I) while accuracies for prediction of efflux pump families like ABC, MFS, RND and MATE family were found 92.13%, 85.39%, 91.01% and 99.44%, respectively (at tier-II). Benchmarking on an independent dataset also showed that BacEffluxPred had comparable accuracy for prediction of bacterial AR efflux pumps and their families. This is the first in-silico tool for predicting bacterial AR efflux proteins and their families and is freely available as both web-server and standalone versions at http://proteininformatics.org/mkumar/baceffluxpred/.
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