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• W2997449405 abstract "Abstract This work provides a systematic and comprehensive overview of available resources for the molecular-scale modelling of the translation process through agent-based modelling. The case study is the translation in Saccharomyces cerevisiae, one of the most studied yeasts. The data curation workflow encompassed structural information about the yeast (i.e. the simulation environment), and the proteins, ribonucleic acids and other types of molecules involved in the process (i.e. the agents). Moreover, it covers the main process events, such as diffusion (i.e. motion of molecules in the environment) and collision efficiency (i.e. interaction between molecules). Data previously determined by wet-lab techniques were preferred, resorting to computational predictions/extrapolations only when strictly necessary. The computational modelling of the translation processes is of added industrial interest, since it may bring forward knowledge on how to control such phenomena and enhance the production of proteins of interest in a faster and more efficient manner." @default.
• W2997449405 created "2020-01-10" @default.
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• W2997449405 creator A5035712663 @default.
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• W2997449405 date "2019-12-23" @default.
• W2997449405 modified "2023-09-26" @default.
• W2997449405 title "Computational resources and strategies to assess single-molecule dynamics of the translation process in S. cerevisiae" @default.
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• W2997449405 doi "https://doi.org/10.1093/bib/bbz149" @default.
• W2997449405 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31879749" @default.
• W2997449405 hasPublicationYear "2019" @default.
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