ArticleDatabase : the journal of biological databases and curation2015
MAPanalyzer: a novel online tool for analyzing microtubule-associated proteins.
Article in Database : the journal of biological databases and curation, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Tau is required for glial lipid droplet formation and resistance to neuronal oxidative stress.Nature neuroscience · 2024Article
- The thrombin receptor (PAR1) is associated with microtubules, mitosis and process formation in glioma cells.Heliyon · 2024Article
- Prediction of anti-microtubular target proteins of tubulins and their interacting proteins using Gene Ontology tools.Journal, genetic engineering & biotechnology · 2023Article
- Poly(A)-binding protein is an ataxin-2 chaperone that regulates biomolecular condensates.Molecular cell · 2023Article
- New spinocerebellar ataxia subtype caused byBrain communications · 2022Article
- Rudhira/BCAS3 couples microtubules and intermediate filaments to promote cell migration for angiogenic remodeling.Molecular biology of the cell · 2019Article
- Cell and context-dependent sorting of neuropathy-associated protein NDRG1 - insights from canine tissues and primary Schwann cell cultures.BMC veterinary research · 2019Article
- Subcellular Localization Screening ofFrontiers in plant science · 2018Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The wide functional impacts of microtubules are unleashed and controlled by a battery of microtubule-associated proteins (MAPs). Specialists in the field appreciate the diversity of known MAPs and propel the identifications of novel MAPs. By contrast, there is neither specific database to record known MAPs, nor MAP predictor that can facilitate the discovery of potential MAPs. We here report the establishment of a MAP-centered online analysis tool MAPanalyzer, which consists of a MAP database and a MAP predictor. In the database, a core MAP dataset, which is fully manually curated from the literature, is further enriched by MAP information collected via automated pipeline. The core dataset, on the other hand, enables the building of a novel MAP predictor which combines specialized machine learning classifiers and the BLAST homology searching tool. Benchmarks on the curated testing dataset and the Arabidopsis thaliana whole genome dataset have shown that the proposed predictor outperforms not only its own components (i.e. the machine learning classifiers and BLAST), but also another popular homology searching tool, PSI-BLAST. Therefore, MAPanalyzer will serve as a promising computational resource for the investigations of MAPs. Database URL: http://systbio.cau.edu.cn/mappred/.
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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.