ReviewCells2019
Large-Scale Assessment of Bioinformatics Tools for Lysine Succinylation Sites.
Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
27 citing papers in PubMed, 46 citations in OpenAlex.
- CPT1A Alleviates Senescence and Restores Osteogenic Differentiation of BM-MSC Through SOD2 Succinylation.Journal of cellular and molecular medicine · 2025Article
- CPT1A ameliorates microglia-induced neuroinflammation via facilitating VDR succinylation.Scientific reports · 2025Article
- Impact of Lysine Succinylation on the Biology of Fungi.Current issues in molecular biology · 2024Review
- Investigating the Precise Identification of Citrullination Sites with High- Performance Score Metrics Using a Powerful Computation Predicting Tool.Combinatorial chemistry & high throughput screening · 2024Article
- SUCLG2 Regulates Mitochondrial Dysfunction through Succinylation in Lung Adenocarcinoma.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023Article
- Protein post-translational modification by lysine succinylation: Biochemistry, biological implications, and therapeutic opportunities.Genes & diseases · 2023Review
- Protein succinylation associated with the progress of hepatocellular carcinoma.Journal of cellular and molecular medicine · 2022Article
- pSuc-EDBAM: Predicting lysine succinylation sites in proteins based on ensemble dense blocks and an attention module.BMC bioinformatics · 2022Article
- Deep_KsuccSite: A novel deep learning method for the identification of lysine succinylation sites.Frontiers in genetics · 2022Article
- The Mystery of Extramitochondrial Proteins Lysine Succinylation.International journal of molecular sciences · 2021Review
- First comprehensive analysis of lysine succinylation in paper mulberry (Broussonetia papyrifera).BMC genomics · 2021Article
- PredNTS: Improved and Robust Prediction of Nitrotyrosine Sites by Integrating Multiple Sequence Features.International journal of molecular sciences · 2021Article
- PUP-Fuse: Prediction of Protein Pupylation Sites by Integrating Multiple Sequence Representations.International journal of molecular sciences · 2021Article
- Role of succinylation modification in thyroid cancer and breast cancer.American journal of cancer research · 2021Review
- LSTMCNNsucc: A Bidirectional LSTM and CNN-Based Deep Learning Method for Predicting Lysine Succinylation Sites.BioMed research international · 2021Article
- ProIn-Fuse: improved and robust prediction of proinflammatory peptides by fusing of multiple feature representations.Journal of computer-aided molecular design · 2020Article
- iHyd-LysSite (EPSV): Identifying Hydroxylysine Sites in Protein Using Statistical Formulation by Extracting Enhanced Position and Sequence Variant Feature Technique.Current genomics · 2020Article
- iLBE for Computational Identification of Linear B-cell Epitopes by Integrating Sequence and Evolutionary Features.Genomics, proteomics & bioinformatics · 2020Article
- Evolution of Sequence-based Bioinformatics Tools for Protein-protein Interaction Prediction.Current genomics · 2020Review
- Lysine-222 succinylation reduces lysosomal degradation of lactate dehydrogenase a and is increased in gastric cancer.Journal of experimental & clinical cancer research : CR · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Lysine succinylation is a form of posttranslational modification of the proteins that play an essential functional role in every aspect of cell metabolism in both prokaryotes and eukaryotes. Aside from experimental identification of succinylation sites, there has been an intense effort geared towards the development of sequence-based prediction through machine learning, due to its promising and essential properties of being highly accurate, robust and cost-effective. In spite of these advantages, there are several problems that are in need of attention in the design and development of succinylation site predictors. Notwithstanding of many studies on the employment of machine learning approaches, few articles have examined this bioinformatics field in a systematic manner. Thus, we review the advancements regarding the current state-of-the-art prediction models, datasets, and online resources and illustrate the challenges and limitations to present a useful guideline for developing powerful succinylation site prediction tools.
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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.