Selvarajoo K
Identifying Key In Silico Knockout for Enhancement of Limonene Yield Through Dynamic Metabolic Modelling
Keywords: COPASI; Dynamic metabolic modelling; Limonene; Parameter estimation; Time-series data.
ReadSystems Biology and Omics Approaches for Complex Human Diseases
For many years, there has been general interest in developing virtual cells or digital twin models [1,2]. This is due to (i) a purely curiosity-driven need to build theories of life and, (ii) the potential to quickly and safely find cures for diseases by testing drugs in silico before testing them on actual organisms.
ReadGlobally invariant behavior of oncogenes and random genes at population but not at single cell level
Cancer is widely considered a genetic disease. Notably, recent works have highlighted that every human gene may possibly be associated with cancer. Thus, the distinction between genes that drive oncogenesis and those that are associated to the disease, but do not play a role, requires attention
ReadA concerted increase in readthrough and intron retention drives transposon expression during aging and senescence
This study presents fundamental findings on the role of transcription readout and intron retention in transposon expression during aging in mammals. The evidence supporting the claims of the authors is compelling, strongly supporting the authors' claims. The work will be of interest to scientists studying aging, transcription regulation, and epigenetics.
ReadPerspective: Multiomics and Machine Learning Help Unleash the Alternative Food Potential of Microalgae
Keywords : microalgae, omics, machine learning, alternative proteins, systems biology
ReadMetabolomics and modelling approaches for systems metabolic engineering
Metabolic engineering involves the manipulation of microbes to produce desirable compounds through genetic engineering or synthetic biology approaches. Metabolomics involves the quantitation of intracellular and extracellular metabolites, where mass spectrometry and nuclear magnetic resonance based analytical instrumentation are often used. Here, the experimental designs, sample preparations, metabolite quenching and extraction are essential to the quantitative metabolomics workflow.
ReadApplication of GeneCloudOmics: Transcriptomic Data Analytics for Synthetic Biology
Part of the Methods in Molecular Biology book series (MIMB,volume 2553)
ReadComputational Biology and Machine Learning for Metabolic Engineering and Synthetic Biology
Part of the book series: Methods in Molecular Biology (MIMB, volume 2553)
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