ArticleFrontiers in microbiology2018
PredT4SE-Stack: Prediction of Bacterial Type IV Secreted Effectors From Protein Sequences Using a Stacked Ensemble Method.
Article in Frontiers in microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.
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Who cites it
45 citing papers in PubMed.
- StackPVP: a stacked ensemble classification framework for predicting phage virion proteins using integrated evolutionary features.Frontiers in microbiology · 2026Article
- T4SEpp: A pipeline integrating protein language models to predict bacterial type IV secreted effectors.Computational and structural biotechnology journal · 2024Article
- A review on synthesis of MOF-derived carbon composites: innovations in electrochemical, environmental and electrocatalytic technologies.RSC advances · 2024Review
- Stack-VTP: prediction of vesicle transport proteins based on stacked ensemble classifier and evolutionary information.BMC bioinformatics · 2023Article
- EdeepSADPr: an extensive deep-learning architecture for prediction of theFrontiers in cell and developmental biology · 2023Article
- DeepSecE: A Deep-Learning-Based Framework for Multiclass Prediction of Secreted Proteins in Gram-Negative Bacteria.Research (Washington, D.C.) · 2023Article
- Prediction of polyreactive and nonspecific single-chain fragment variables through structural biochemical features and protein language-based descriptors.BMC bioinformatics · 2022Article
- PredAPP: Predicting Anti-Parasitic Peptides with Undersampling and Ensemble Approaches.Interdisciplinary sciences, computational life sciences · 2022Article
- ISTRF: Identification of sucrose transporter using random forest.Frontiers in genetics · 2022Article
- Ensemble Learning-Based Feature Selection for Phage Protein Prediction.Frontiers in microbiology · 2022Article
- A GHKNN model based on the physicochemical property extraction method to identify SNARE proteins.Frontiers in genetics · 2022Article
- A novel deep learning-assisted hybrid network for plasmodium falciparum parasite mitochondrial proteins classification.PloS one · 2022Article
- A method for identifying moonlighting proteins based on linear discriminant analysis and bagging-SVM.Frontiers in genetics · 2022Article
- HSM6AP: a high-precision predictor for the HomoRNA biology · 2021Article
- DeepVF: a deep learning-based hybrid framework for identifying virulence factors using the stacking strategy.Briefings in bioinformatics · 2021Article
- iT4SE-EP: Accurate Identification of Bacterial Type IV Secreted Effectors by Exploring Evolutionary Features from Two PSI-BLAST Profiles.Molecules (Basel, Switzerland) · 2021Article
- sgRNACNN: identifying sgRNA on-target activity in four crops using ensembles of convolutional neural networks.Plant molecular biology · 2021Article
- Predicting Hot Spot Residues at Protein-DNA Binding Interfaces Based on Sequence Information.Interdisciplinary sciences, computational life sciences · 2021Article
- Computational prediction of secreted proteins in gram-negative bacteria.Computational and structural biotechnology journal · 2021Review
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gram-negative bacteria use various secretion systems to deliver their secreted effectors. Among them, type IV secretion system exists widely in a variety of bacterial species, and secretes type IV secreted effectors (T4SEs), which play vital roles in host-pathogen interactions. However, experimental approaches to identify T4SEs are time- and resource-consuming. In the present study, we aim to develop an
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Registered trials
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.