Figure 1: Structural modelling of transmembrane domains of human Na V 1.7 channel. Figure 2: Mutant cycle analysis of voltage dependence of activation of Na V 1.7 mutations. Structural modelling ...

The seamless integration of human disease-related mutation data into protein structures is an essential component of any attempt to correctly assess the impact of the mutation. The key step ...

The most popular approach for predicting a time series that has been auto-regressive integrated with moving average (ARIMA) methodology is called Time Series, which is a stochastic process indexed by ...

Abstract: We describe an ongoing project which aims at a better understanding of the development and functioning of apple trees by modelling them at several spatial and temporal scales. Dependence of ...

This area of research is motivated by the desire to produce a more efficient framework for modelling the musculoskeletal system. It is striking that the early works of Culmann and von Meyer focused on ...

Structural equation modelling (SEM) is a multivariate statistical technique for estimating complex relationships between observed and latent variables. Although numerous SEM packages exist, each of ...

The majority of central banks use time series models for research, but they are slightly more likely to utilise semi-structural modelling for forecasting, the Economics Benchmarks 20204 find. Of the ...