The Creative Commons Attribution License and the Science Commons Open Access Data Mark provide good models of legal mechanisms for computational reuse, integration, and distillation.
We review the emerging characteristics of lincRNAs, the experimental and computational approaches to identify lincRNAs, their known mechanisms of regulation, the computational methods and resources for lincRNA functional predictions, and discuss the challenges to understanding lincRNA comprehensively.
Even though the system is complicated, with more than 10 reductants along with some promoting or inhibiting effects of other species, a hierarchical approach for mechanism development is used to retain the simplicity of the mechanism in terms of computational implementation.
The aim of this study was to elucidate the frequency-decoding mechanism through use of computational and experimental methods.
Henceforth, an attempt was made to study the dynamics, stability, and ATP binding mechanisms of PfCKI through computational modelling, docking, molecular dynamics (MD) simulations, and MM/PBSA binding free energy estimation.
To study molecular mechanisms of cell differentiation, computational systems biology approaches can be used to represent these processes; however, the latter often requires building complex intracellular signaling models with a large number of equations to accurately represent intracellular pathways and biochemical reactions.
Three different initial solution (IS) finding mechanisms with varying levels of computational difficulty are proposed to aid the search algorithms in identifying an IS.
However, the strong similarities between the two do suggest that their output is produced by –at least partially- similar computational mechanisms, justifying a generalization of computational models of visual competition over binocular and perceptual rivalry.
Under the investigated activity conditions/anesthesia, transmission seems to remain largely unimpeded in the MNTB, whereas in the AVCN the occurrence of failures is related to inhibition and could be the basis/result of computational mechanisms for temporal processing.
These include some of the clearest examples of computational mechanisms of general interest to neuroscience, such as attractor dynamics, temporal coding and multi-modal integration.
