Correlated amino acid mutations, co-evolution, virus-driven degradation of messenger RNA, mutations
Co-evolution methods, based on correlated amino acid mutations in deep multiple sequence alignments (MSA), are efficiently used to identify interacting proteins based on sequence information alone (6,7).
SWISS-MODEL was the first fully automated protein homology modelling server and has been continuously improved during the last 25 years (25–30). Its modelling functionality has been recently extended to include the modelling of homo- and heteromeric complexes, given the amino acid sequences of the interacting partners as starting point.
Correlated amino acid mutations have been linked to co-evolution despite the fact that the virus-driven degradation of messenger RNA links mutations to pathology in all living genera. Natural selection for food energy-dependent codon optimality links epigenetic effects on transcription regulation to healthy longevity. What don’t you understand about food energy-dependent healthy longevity for comparison to virus-driven pathology? Don’t you realize there is a model for that?
…the epigenetic ‘tweaking’ of the immense gene networks that occurs via exposure to nutrient chemicals and pheromones can now be modeled in the context of the microRNA/messenger RNA balance, receptor-mediated intracellular signaling, and the stochastic gene expression required for nutrient-dependent pheromone-controlled adaptive evolution. The role of the microRNA/messenger RNA balance (Breen, Kemena, Vlasov, Notredame, & Kondrashov, 2012; Duvarci, Nader, & LeDoux, 2008; Griggs et al., 2013; Monahan & Lomvardas, 2012) in adaptive evolution will certainly be discussed in published works that will follow.
See for comparison: Transcriptional regulation of metabolism in disease: From transcription factors to epigenetics 6/15/18
Cis- and trans-regulatory elements, microRNA and epigenetic mechanisms such as DNA and histone methylation, all have input into what genes are transcribed. Each has also been implicated in diseases such as metabolic syndrome, various forms of diabetes, and cancer. In this review, we discuss the current understanding of these areas and highlight some natural models that may inspire future therapeutics.
See also: MicroRNAs in regulation of triple-negative breast cancer progression 6/19/18
Dysregulation of Egfl7 has been frequently found in several types of cancers, such as malignant glioma, colorectal carcinoma, oral and oesophageal cancers, gastric cancer, hepatocellular carcinoma, pancreatic cancer, breast cancer, lung cancer, osteosarcoma, and acute myeloid leukemia. In addition, altered expression of miR-126, a microRNA associated with Egfl7, was found to play an important role in oncogenesis.
Your loved ones are suffering unnecessarily and dying prematurely because viruses steal the quantized energy that is required to sustain healthy longevity. MicroRNAs are clearly the link to healthy longevity or to suffering and death.
Why isn’t everyone complaining about the separation of loved ones that comes from death? That was a rhetorical question. All serious scientists realize that most people are not interested in facts.