ArticleBioinformatics (Oxford, England)2019
TADOSS: computational estimation of tandem domain swap stability.
Article in Bioinformatics (Oxford, England), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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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.
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Who cites it
5 citing papers in PubMed, 8 citations in OpenAlex.
- Tandem repeats of highly bioluminescent NanoLuc are refolded noncanonically by the Hsp70 machinery.Protein science : a publication of the Protein Society · 2024Article
- Creative destruction: New protein folds from old.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
- Periscope Proteins are variable-length regulators of bacterial cell surface interactions.Proceedings of the National Academy of Sciences of the United States of America · 2021Article
- Exploring the sequence fitness landscape of a bridge between protein folds.PLoS computational biology · 2020Article
- Tandem domain swapping: determinants of multidomain protein misfolding.Current opinion in structural biology · 2019Review
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
Abstract
summaryProteins with highly similar tandem domains have shown an increased propensity for misfolding and aggregation. Several molecular explanations have been put forward, such as swapping of adjacent domains, but there is a lack of computational tools to systematically analyze them. We present the TAndem DOmain Swap Stability predictor (TADOSS), a method to computationally estimate the stability of tandem domain-swapped conformations from the structures of single domains, based on previous coarse-grained simulation studies. The tool is able to discriminate domains susceptible to domain swapping and to identify structural regions with high propensity to form hinge loops. TADOSS is a scalable method and suitable for large scale analyses. AVAILABILITY AND IMPLEMENTATION: Source code and documentation are freely available under an MIT license on GitHub at https://github.com/lafita/tadoss. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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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.