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Since RNA-RNA interactions can be modeled computationally, several excellent programs have been developed to predict the interaction of miRNAs with target transcripts.
An analytical model is proposed to predict the interaction of two defects in lattice materials based on a single defect model.
With these feature vectors as input, standard machine learning methods such as Support Vector Machines (SVM), Naïve Bayes (NB) or Neural Networks (NN) can be used to predict the interaction of new drug target pairs.
Based on the observation of experiment (Leonard et al. 2014), composite damage like splitting might promote deflection, even crack of their neighboured aluminium, and therefore the cohesive zone element discussed in section 3 of this paper could help to predict the interaction of damages between composite and metal layer in FMLs for improved accuracy.
We were able to predict the interaction of drugs with known targets to an average sensitivity of 63% (Supplementary Table S1).
Clusters that contain compounds with a predominant interaction within the pathway were created, which were then used to predict the interaction of compounds not included in the clustering analysis.
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Various empirical approaches have been developed to predict the interactions of coiled-coil proteins [25].
Molecular docking of E. coli Biotin Carboxylase (EcBC) enzyme was also performed in order to predict the interactions of the synthesized compounds.
In a chaotic system you can look at the initial starting conditions and the topology of a simulation and try to predict the interactions of strange attractors as much as you like, but you generally don't really get what the hell the simulation is doing until you observe it in motion.
CG−MD simulations have provided a successful tool for predicting interactions of lipids with proteins (29), and therefore, this method was used to predict the interactions of the anionic lipid PIP2 with Kir channels.
The SVM with 217-dimensional vector was employed to predict the interactions of HPV16 and HPV18 proteins with human proteins by Cui et al. at the same time [ 19].
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