The ultimate goal of metabolic engineering is to produce desired compounds on an industrial scale in a cost effective manner. To address challenges engineering, computational strain optimization algorithms based genome-scale models have increasingly been used aid overproducing products interest. However, most these utilize network alone, with few approaches providing strategies that also include transcriptional regulation. Moreover previous integrated generally require pre-existing...

Histone acetylation plays a central role in gene regulation and is sensitive to the levels of metabolic intermediates. However, predicting impact alterations on pathological conditions significant challenge. Here, we present genome-scale network model that predicts nutritional environment genetic histone acetylation. It identifies cell types are deacetylase inhibitors based their state, validate metabolites alter drug sensitivity. Our provides mechanistic framework for how perturbations...

Since the television has gradually been expanded into digital world, streaming platforms are becoming more and popular. Netflix, as one of most representative around worlds, made an impact on media infrastructures. Its ambition is not merely about content transmission but to be a institution control resources. This essay concentrates condition Netflix in China, representing that its inclusion inaccessibility were embedded complex relations. Netflix’s case China serves striking example how...

Acetylation and phosphorylation are highly conserved posttranslational modifications (PTMs) that regulate cellular metabolism, yet how metabolic control is shared between these PTMs unknown. Here we analyze transcriptome, proteome, acetylome, phosphoproteome datasets in E. coli, S. cerevisiae, mammalian cells across diverse conditions using CAROM, a new approach uses genome-scale networks machine learning to classify targets of PTMs. We built single model predicted each PTM condition all...

With the rapid development of civil aviation and significant improvement people's living standards, taking an air plane has become a common efficient way travel. However, due to flight characteris-tics aircraft sophistication fuselage structure, de-lays accidents occur from time time. In addition, life risk factor brought by after accident is also highest among all means transportation. this work, model based on back-propagation neural network was used predict accidents. By collecting...

With the improvement of computer, artificial intelligence, information technology and other technical levels, relationship between man-machine environment systems is more complicated diversified. The optimization, iteration development new generation intelligent equipment system human-computer interaction interface put forward higher requirements for ensuring safety personnel, improving efficiency system. Such as cabin adaptive cognitive decision aid system, how to adopt display interaction,...

Multi-scale investigation from gene transcript level to metabolic activity is important uncover plant response environment perturbation. Here we integrated a genome-scale constraint-based model with transcriptome data explore Arabidopsis thaliana both elevated and low CO2 conditions. The four condition-specific models high concentrations show differences in active reaction sets, enriched pathways for increased/decreased fluxes, putative post-transcriptional regulation, which indicates that...

Rice (Oryza sativa) is one of the most important grain crops, which serves as food source for nearly half world population. The study rice development process well related strategies production has made significant progress. However, comprehensive on different tissues at both transcriptomic and metabolic flux level across stages was lacked. In this study, we performed RNA-Seq characterized expression profiles differentiated from Oryza sativa Zhonghua 11, including leaves, sheath, stamen,...

The collision and interactions between counterflowing density currents frequently occur in nature engineering practices along the coastal regions. However, mechanisms implications of these remain an active research area. In this study, we developed a high-resolution numerical model to simulate hydrodynamic characteristics symmetric asymmetric colliding saline currents. aim was understand interaction mechanisms, quantify parameters, provide baseline physical insights into such interactions....

Typhoons are extreme weather events that cause serious social and economic losses in coastal estuarine areas worldwide. Understanding the impact of typhoons on sediment dynamics is essential for protecting from these marine disasters. Hangzhou Bay macro-tidal, turbid, frequently affected by strong typhoons. In this study, we established validated a three-dimensional model coupling waves, current, to investigate during Typhoon Chan-hom. The results showed high suspended concentration (SSC)...

Cancer cells have different metabolism in contrast to normal cells. The advancement omics measurement technology enables the genome-wide characterization of altered cellular processes cancers, but metabolic flux landscape cancer is still far from understood. In this study, we compared well-reconstructed tissue-specific models five including breast, liver, lung, renal, and urothelial cancer, their corresponding There are similar patterns majority significantly regulated pathways enriched...

Abstract Acetylation and phosphorylation are highly conserved post-translational modifications (PTMs) that regulate cellular metabolism, yet how metabolic control is shared between these PTMs unknown. Here we analyze transcriptome, proteome, acetylome, phosphoproteome datasets in E.coli , S.cerevisiae mammalian cells across diverse conditions using CAROM, a new approach uses genome-scale networks machine-learning to classify regulation by PTMs. We built single model accurately distinguished...

The curved tidal channel, Luotou Deep-water Navigational Channel, is the main channel of Ningbo Zhoushan Port, which ranked first in world. Tidal dynamics are spatially and temporally asymmetric. In this study, three-dimensional were analyzed using field data simulated FVCOM. results show that tides flood/ebb along northern/southern bank near bottom/surface layer these asymmetries due to imbalanced Coriolis force, centrifugal sea-level gradient, density gradient. Residual current velocity...

Tidal flat plays an important role in coastal development because of its ecological and spatial resources. We take the southern tidal macro-tidal turbid Hangzhou Bay as example to study long-term (1990–2020) evolution muddy flat, using remote sensing data field observational data. The detailed bathymetric elevation is obtained, images Landsat Sentinel-2, combined with real-time kinematic (RTK) correlation coefficient between RTK 0.73. vegetation areas are affected by reclamation. total area...

A key process in the application of volume rendering is to design an appropriate transfer function according needs visualization. In this paper, 1D histogram based firstly introduced make full use gray levels 3D cardiac data. Opacity modulation on statistics specific level then presented observe interior subtle tissues clearly. Furthermore, 2D using and gradient magnitude also proposed enhance boundaries tissues. Experimental results validate that our functions are effective efficient for data set.

ABSTRACT Cell cycle is a fundamental process for cell growth and proliferation, its dysregulation leads to many diseases. How metabolic networks are regulated rewired during the unknown. Here we apply dynamic genome-scale modeling framework (DFA) simulate of cytokine-activated murine pro-B cells. Phase-specific reaction activity predicted by DFA using time-course metabolomics were validated matched proteomics phospho-proteomics data. Our model correctly changes in methionine metabolism at...