ArticleBioMed research international2013
Cloud prediction of protein structure and function with PredictProtein for Debian.
Article in BioMed research international, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
7 citing papers in PubMed.
- PredictProtein - Predicting Protein Structure and Function for 29 Years.Nucleic acids research · 2021Article
- Extracellular loops matter - subcellular location and function of the lysine transporter Lyp1 from Saccharomyces cerevisiae.The FEBS journal · 2020Article
- Noumeavirus replication relies on a transient remote control of the host nucleus.Nature communications · 2017Article
- PredictProtein--an open resource for online prediction of protein structural and functional features.Nucleic acids research · 2014Article
- LocTree3 prediction of localization.Nucleic acids research · 2014Article
- FreeContact: fast and free software for protein contact prediction from residue co-evolution.BMC bioinformatics · 2014Article
- Community-driven development for computational biology at Sprints, Hackathons and Codefests.BMC bioinformatics · 2014Article
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Authors and funding
13 authors.
Funding
Abstract
We report the release of PredictProtein for the Debian operating system and derivatives, such as Ubuntu, Bio-Linux, and Cloud BioLinux. The PredictProtein suite is available as a standard set of open source Debian packages. The release covers the most popular prediction methods from the Rost Lab, including methods for the prediction of secondary structure and solvent accessibility (profphd), nuclear localization signals (predictnls), and intrinsically disordered regions (norsnet). We also present two case studies that successfully utilize PredictProtein packages for high performance computing in the cloud: the first analyzes protein disorder for whole organisms, and the second analyzes the effect of all possible single sequence variants in protein coding regions of the human genome.
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Registered trials
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