@inproceedings{0b2d40fe15a843fc947e66afacef71b7,
title = "A Ribosome Flow Model for Analyzing Translation Elongation: (Extended Abstract)",
abstract = "We describe the first genome wide analysis of translation based on a model aimed at capturing the physical and dynamical aspects of this process. The Ribosomal Flow Model (RFM) is a computationally efficient approximation of the Totally Asymmetric Exclusion Process (TASEP) model (e.g. see [1]). The RFM is sensitive to the order of codons in the coding sequence, the tRNA pool of the organism, interactions between ribosomes and their size (see Figure [1]). The RFM predicts fundamental outcomes of the translation process, including translation rates, protein abundance and ribosomal densities [2] and the relation between all these variables, better than alternative ({\textquoteright}non-physical{\textquoteright}) approaches (e.g. see [3,4]). In addition, we show that the RFM model can be used for accurate inference of initiation rates, the effect of codon order on protein abundance and the cost of translation. All these variables could not be inferred by previous predictors.",
author = "Shlomi Reuveni and Isaac Meilijson and Martin Kupiec and Eytan Ruppin and Tamir Tuller",
note = "Publisher Copyright: {\textcopyright} 2011, Springer-Verlag Berlin Heidelberg.; 15th Annual International Conference on Research in Computational Molecular Biology, RECOMB 2011 ; Conference date: 28-03-2011 Through 31-03-2011",
year = "2011",
doi = "10.1007/978-3-642-20036-6_34",
language = "الإنجليزيّة",
isbn = "9783642200359",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "358--360",
editor = "Vineet Bafna and Sahinalp, {S. Cenk}",
booktitle = "Research in Computational Molecular Biology - 15th Annual International Conference, RECOMB 2011, Proceedings",
address = "ألمانيا",
}