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- W4366991602 abstract "CRISPR-Cas-Docker is a web server for in silico docking experiments with CRISPR RNAs (crRNAs) and Cas proteins. This web server aims at providing experimentalists with the optimal crRNA-Cas pair predicted computationally when prokaryotic genomes have multiple CRISPR arrays and Cas systems, as frequently observed in metagenomic data.CRISPR-Cas-Docker provides two methods to predict the optimal Cas protein given a particular crRNA sequence: a structure-based method (in silico docking) and a sequence-based method (machine learning classification). For the structure-based method, users can either provide experimentally determined 3D structures of these macromolecules or use an integrated pipeline to generate 3D-predicted structures for in silico docking experiments.CRISPR-Cas-Docker addresses the need of the CRISPR-Cas community to predict RNA-protein interactions in silico by optimizing multiple stages of computation and evaluation, specifically for CRISPR-Cas systems. CRISPR-Cas-Docker is available at www.crisprcasdocker.org as a web server, and at https://github.com/hshimlab/CRISPR-Cas-Docker as an open-source tool." @default.
- W4366991602 created "2023-04-27" @default.
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- W4366991602 date "2023-04-25" @default.
- W4366991602 modified "2023-10-10" @default.
- W4366991602 title "CRISPR-Cas-Docker: web-based in silico docking and machine learning-based classification of crRNAs with Cas proteins" @default.
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- W4366991602 doi "https://doi.org/10.1186/s12859-023-05296-y" @default.
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