کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
8406737 1544959 2016 10 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Advances in the integration of transcriptional regulatory information into genome-scale metabolic models
ترجمه فارسی عنوان
پیشرفت در ادغام اطلاعات نظارتی رونویسی در مدل های متابولیکی در مقیاس ژنوم
کلمات کلیدی
تجزیه و تحلیل تعادل شار شبکه های متابولیک، شبکه های نظارتی رونویسی، یکپارچه سازی داده ها، یکپارچه سازی مدل های متابولیک
موضوعات مرتبط
مهندسی و علوم پایه ریاضیات مدل‌سازی و شبیه سازی
چکیده انگلیسی
A major goal of systems biology is to build predictive computational models of cellular metabolism. Availability of complete genome sequences and wealth of legacy biochemical information has led to the reconstruction of genome-scale metabolic networks in the last 15 years for several organisms across the three domains of life. Due to paucity of information on kinetic parameters associated with metabolic reactions, the constraint-based modelling approach, flux balance analysis (FBA), has proved to be a vital alternative to investigate the capabilities of reconstructed metabolic networks. In parallel, advent of high-throughput technologies has led to the generation of massive amounts of omics data on transcriptional regulation comprising mRNA transcript levels and genome-wide binding profile of transcriptional regulators. A frontier area in metabolic systems biology has been the development of methods to integrate the available transcriptional regulatory information into constraint-based models of reconstructed metabolic networks in order to increase the predictive capabilities of computational models and understand the regulation of cellular metabolism. Here, we review the existing methods to integrate transcriptional regulatory information into constraint-based models of metabolic networks.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Biosystems - Volume 147, September 2016, Pages 1-10
نویسندگان
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