ArticleGenes2020
pcPromoter-CNN: A CNN-Based Prediction and Classification of Promoters.
Article in Genes, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- PBP_ICBA: a prediction of bacterial promoters in specific organisms using an improved convolutional block attention module.Journal of computer-aided molecular design · 2026Article
- Article
- Characterization of archaeal promoters using explainable and web-based CNN model.BMC genomics · 2025Article
- Climate change prediction in Saudi Arabia using a CNN GRU LSTM hybrid deep learning model in al Qassim region.Scientific reports · 2025Article
- Negative dataset selection impacts machine learning-based predictors for multiple bacterial species promoters.Bioinformatics (Oxford, England) · 2025Article
- pACP-HybDeep: predicting anticancer peptides using binary tree growth based transformer and structural feature encoding with deep-hybrid learning.Scientific reports · 2025Article
- iPro-CSAF: identification of promoters based on convolutional spiking neural networks and spiking attention mechanism.PeerJ. Computer science · 2025Article
- Predicting Promoters in Multiple Prokaryotes with Prompt.Interdisciplinary sciences, computational life sciences · 2024Article
- CpGFuse: a holistic approach for accurate identification of methylation states of DNA CpG sites.Briefings in bioinformatics · 2024Article
- iProL: identifying DNA promoters from sequence information based on Longformer pre-trained model.BMC bioinformatics · 2024Article
- DeepReg: a deep learning hybrid model for predicting transcription factors in eukaryotic and prokaryotic genomes.Scientific reports · 2024Article
- Classification of Promoter Sequences from Human Genome.International journal of molecular sciences · 2023Article
- Computational methods for identifying enhancer-promoter interactions.Quantitative biology (Beijing, China) · 2023Review
- iProm-Sigma54: A CNN Base Prediction Tool forCells · 2023Article
- Article
- Database of Potential Promoter Sequences in theBiology · 2022Article
- Article
- Generative Adversarial Networks for Creating Synthetic Nucleic Acid Sequences of Cat Genome.International journal of molecular sciences · 2022Article
- iProm-phage: A two-layer model to identify phage promoters and their types using a convolutional neural network.Frontiers in microbiology · 2022Article
- Sigma70Pred: A highly accurate method for predicting sigma70 promoter inFrontiers in microbiology · 2022Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A promoter is a small region within the DNA structure that has an important role in initiating transcription of a specific gene in the genome. Different types of promoters are recognized by their different functions. Due to the importance of promoter functions, computational tools for the prediction and classification of a promoter are highly desired. Promoters resemble each other; therefore, their precise classification is an important challenge. In this study, we propose a convolutional neural network (CNN)-based tool, the pcPromoter-CNN, for application in the prediction of promotors and their classification into subclasses σ70, σ54, σ38, σ32, σ28 and σ24. This CNN-based tool uses a one-hot encoding scheme for promoter classification. The tools architecture was trained and tested on a benchmark dataset. To evaluate its classification performance, we used four evaluation metrics. The model exhibited notable improvement over that of existing state-of-the-art tools.
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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.