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Gene networks are one of the main computational models used to study the interaction between different elements during biological processes being widely used to represent gene gene, or protein protein interaction complexes.
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We agree with the reviewers' comments and we have included this section in the section describing the computation models in the Methods part of the main text ("Computational models" section).
Therefore, side by side comparison of these biological models (for a single pathway) can allow researchers to identify the main similarities/differences between such computational models.
This approach relies on two main computational methods, CG and homology modelling, to 'fill-in' missing residues from incomplete crystal structures at both the subunit and/or oligomeric level.
Under this model, our main computational objective is to reconstruct Ttrue from Q with a high success probability while minimizing the time complexity.
The main priority for systems medicine is the development of computational models that integrate data and knowledge from the clinics and basic science (in vitro and animal model experiments) and are applicable to individual patients.
The model presented here can be compared with the main computational hypotheses proposed in the literature to describe the functional interaction between cortex and basal ganglia by appealing to dynamical concepts as here.
Since one of the main aims of systems and synthetic biology is to scale up the development of computational models corresponding formal validation methods need to be in place.
Here we review previous computational models of chaperonin-mediated protein folding in the context of the two main hypotheses for chaperonin function: iterative annealing and landscape modulation.
One of the main computational goals in the methods presented here is to develop real-time techniques for modeling and coupling the valuation between the user and the BMI (to enhance symbiosis) in a variety of tasks.
The main effect, a redshift resulting from an increase in the solvent polarity, could be reproduced with all computational models.
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