We investigate the adaptation of random boolean networks that are a model for regulatory gene networks. The model …

A gene regulatory network depicts which genes turn on which and at what moment. Knowledge of such gene networks is key … to an understanding of the biological process. We propose here to use a statistical method for the reconstruction of gene … regulatory networks based on Bayesian networks from microarray data. We describe a nonlinear model for the rate of gene …

&J), mRNA1273 (Moderna), BBIBP-CorV (Sinopharm/Beijing), Coronavac (Sinovac), Covaxin (Bharat/ICMR), and NVX-CoV2373 (Novavax …

Previous studies of genetic interactions have focused on measuring and analyzing the level of mRNA expressed by each … gene and then finding statistical correlations between them. Here we focus on assessing the global pattern, not the level … probability density function (PDF) of the mRNA levels produced by each model. Thus, we make a dictionary of the mRNA patterns …

The kinetics of gene expression can be bistable due to the feedback between the mRNA and protein formation. In …

infectious diseases, we simulate the financial performance of a hypothetical vaccine megafund consisting of 120 mRNA vaccine … may cause the next global pandemic. We calibrate the simulation parameters with input from domain experts in mRNA … investment of −6.0% per annum and a negative net present value of −$9.5 billion, despite the scientific advantages of mRNA …

&J), mRNA1273 (Moderna), BBIBP-CorV (Sinopharm/Beijing), Coronavac (Sinovac), Covaxin (Bharat/ICMR), and NVX-CoV2373 (Novavax …

We analyze the financial performance of a hypothetical portfolio of 120 mRNA vaccine candidates in the preclinical … mRNA technology and an extensive literature review. We find that the portfolio generates an average annualized return on … investment of -6.0% per annum and a net present value of -$9.5 billion, despite the scientific advantages of mRNA technology and …