ArticleMolecular therapy. Nucleic acids2019
iPromoter-2L2.0: Identifying Promoters and Their Types by Combining Smoothing Cutting Window Algorithm and Sequence-Based Features.
Article in Molecular therapy. Nucleic acids, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
31 citing papers in PubMed.
- Predicting Promoters in Multiple Prokaryotes with Prompt.Interdisciplinary sciences, computational life sciences · 2024Article
- CryptKeeper: a negative design tool for reducing unintentional gene expression in bacteria.bioRxiv : the preprint server for biology · 2024Article
- CryptKeeper: a negative design tool for reducing unintentional gene expression in bacteria.Synthetic biology (Oxford, England) · 2024Article
- Nucleic Transformer: Classifying DNA Sequences with Self-Attention and Convolutions.ACS synthetic biology · 2023Article
- Computational methods for identifying enhancer-promoter interactions.Quantitative biology (Beijing, China) · 2023Review
- iProm-Sigma54: A CNN Base Prediction Tool forCells · 2023Article
- iPromoter-Seqvec: identifying promoters using bidirectional long short-term memory and sequence-embedded features.BMC genomics · 2022Article
- Critical assessment of computational tools for prokaryotic and eukaryotic promoter prediction.Briefings in bioinformatics · 2022Article
- Sigma70Pred: A highly accurate method for predicting sigma70 promoter inFrontiers in microbiology · 2022Article
- iProm-phage: A two-layer model to identify phage promoters and their types using a convolutional neural network.Frontiers in microbiology · 2022Article
- Accurate identification of RNA D modification using multiple features.RNA biology · 2021Article
- RFPR-IDP: reduce the false positive rates for intrinsically disordered protein and region prediction by incorporating both fully ordered proteins and disordered proteins.Briefings in bioinformatics · 2021Article
- iPTT(2 L)-CNN: A Two-Layer Predictor for Identifying Promoters and Their Types in Plant Genomes by Convolutional Neural Network.Computational and mathematical methods in medicine · 2021Article
- Article
- NonClasGP-Pred: robust and efficient prediction of non-classically secreted proteins by integrating subset-specific optimal models of imbalanced data.Microbial genomics · 2020Article
- Prediction of m5C Modifications in RNA Sequences by Combining Multiple Sequence Features.Molecular therapy. Nucleic acids · 2020Article
- sgRNA-PSM: Predict sgRNAs On-Target Activity Based on Position-Specific Mismatch.Molecular therapy. Nucleic acids · 2020Article
- Is There Any Sequence Feature in the RNA Pseudouridine Modification Prediction Problem?Molecular therapy. Nucleic acids · 2020Article
- Identifying Antioxidant Proteins by Using Amino Acid Composition and Protein-Protein Interactions.Frontiers in cell and developmental biology · 2020Article
- Discrimination of Thermophilic Proteins and Non-thermophilic Proteins Using Feature Dimension Reduction.Frontiers in bioengineering and biotechnology · 2020Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Promoters are short regions at specific locations of DNA sequences, which are playing key roles in directing gene transcription. They can be grouped into six types (σ
Indexed as
Identifiers
What OpenQuestion holds
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.