ArticleNucleic acids research2009
DiProDB: a database for dinucleotide properties.
Article in Nucleic acids research, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.
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Who cites it
57 citing papers in PubMed.
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- Predicting Polymerase Chain Reaction Success: Integrating theCombinatorial chemistry & high throughput screening · 2026Article
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- BacTermFinder: a comprehensive and general bacterial terminator finder using a CNN ensemble.NAR genomics and bioinformatics · 2025Article
- Structural Features of DNA in tRNA Genes and Their Upstream Sequences.International journal of molecular sciences · 2024Article
- DrivR-Base: a feature extraction toolkit for variant effect prediction model construction.Bioinformatics (Oxford, England) · 2024Article
- CDBProm: the Comprehensive Directory of Bacterial Promoters.NAR genomics and bioinformatics · 2024Article
- Core Promoter Regions of Antisense and Long Intergenic Non-Coding RNAs.International journal of molecular sciences · 2023Article
- Explainable artificial intelligence as a reliable annotator of archaeal promoter regions.Scientific reports · 2023Article
- Evolutionary Invariant of the Structure of DNA Double Helix in RNAP II Core Promoters.International journal of molecular sciences · 2022Article
- From shallow to deep: some lessons learned from application of machine learning for recognition of functional genomic elements in human genome.Human genomics · 2022Review
- Sigma70Pred: A highly accurate method for predicting sigma70 promoter inFrontiers in microbiology · 2022Article
- BioSeq-BLM: a platform for analyzing DNA, RNA and protein sequences based on biological language models.Nucleic acids research · 2021Article
- TSSFinder-fast and accurate ab initio prediction of the core promoter in eukaryotic genomes.Briefings in bioinformatics · 2021Article
- Energetics of twisted DNA topologies.Biophysical journal · 2021Review
- Computational prediction and interpretation of both general and specific types of promoters in Escherichia coli by exploiting a stacked ensemble-learning framework.Briefings in bioinformatics · 2021Article
- Quantitative differences between intra-host HCV populations from persons with recently established and persistent infections.Virus evolution · 2021Article
- Classification of seed members of five riboswitch families as short sequences based on the features extracted by Block Location-Based Feature Extraction (BLBFE) method.BioImpacts : BI · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
DiProDB (http://diprodb.fli-leibniz.de) is a database of conformational and thermodynamic dinucleotide properties. It includes datasets both for DNA and RNA, as well as for single and double strands. The data have been shown to be important for understanding different aspects of nucleic acid structure and function, and they can also be used for encoding nucleic acid sequences. The database is intended to facilitate further applications of dinucleotide properties. A number of property datasets is highly correlated. Therefore, the database comes with a correlation analysis facility. Authors having determined new sets of dinucleotide property values are invited to submit these data to DiProDB.
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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.