ArticleAdvances and applications in bioinformatics and chemistry : AABC2010
Insights into the classification of small GTPases.
Article in Advances and applications in bioinformatics and chemistry : AABC, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- The anticancer effects of PCAIs in pancreatic cancer cells involve MAPK and PI3K/AKT pathways hyperactivation.Oncotarget · 2026Article
- Polyisoprenylated cysteinyl amide inhibitors deplete singly polyisoprenylated monomeric G-proteins in lung and breast cancer cell lines.Oncotarget · 2023Article
- Complete genomes of the eukaryotic poultry parasite Histomonas meleagridis: linking sequence analysis with virulence / attenuation.BMC genomics · 2021Article
- Small GTPases in Cancer: Still Signaling the Way.Cancers · 2021Article
- Upregulation of GTPBP4 Promotes the Proliferation of Liver Cancer Cells.Journal of oncology · 2021Article
- Peroxisome Proliferator-Activated Receptor Alpha Mediates the Beneficial Effects of Atorvastatin in Experimental Colitis.Frontiers in immunology · 2021Article
- Review
- Variable-order sequence modeling improves bacterial strain discrimination for Ion Torrent DNA reads.BMC bioinformatics · 2017Article
- Recent Successes and Future Directions in Immunotherapy of Cutaneous Melanoma.Frontiers in immunology · 2017Review
- Compensation of feature selection biases accompanied with improved predictive performance for binary classification by using a novel ensemble feature selection approach.BioData mining · 2016Article
- MANIA-a pattern classification toolbox for neuroimaging data.Neuroinformatics · 2014Article
- A simple structure-based model for the prediction of HIV-1 co-receptor tropism.BioData mining · 2014Article
- Interpol: An R package for preprocessing of protein sequences.BioData mining · 2011Article
- Machine learning on normalized protein sequences.BMC research notes · 2011Article
- Single-domain parvulins constitute a specific marker for recently proposed deep-branching archaeal subgroups.Evolutionary bioinformatics online · 2011Article
- Computational Design of a DNA- and Fc-Binding Fusion Protein.Advances in bioinformatics · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study we used a Random Forest-based approach for an assignment of small guanosine triphosphate proteins (GTPases) to specific subgroups. Small GTPases represent an important functional group of proteins that serve as molecular switches in a wide range of fundamental cellular processes, including intracellular transport, movement and signaling events. These proteins have further gained a special emphasis in cancer research, because within the last decades a huge variety of small GTPases from different subgroups could be related to the development of all types of tumors. Using a random forest approach, we were able to identify the most important amino acid positions for the classification process within the small GTPases superfamily and its subgroups. These positions are in line with the results of earlier studies and have been shown to be the essential elements for the different functionalities of the GTPase families. Furthermore, we provide an accurate and reliable software tool (GTPasePred) to identify potential novel GTPases and demonstrate its application to genome sequences.
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.