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Many advances have been made in computational ADME modeling.
With the advances made in computational techniques, two-dimensional (2D) depth-averaged numerical models have become valuable tools for resolving many engineering problems dealing with sediment transport.
A lot of effort has been made in Computational Auditory Scene Analysis (CASA) to segregate target speech from monaural mixtures.
Building on initial work [ 74], recent strides have been made in computational techniques for meeting this challenge.
Although much progress has been made in computational approaches for B-cell epitope prediction, there still exist several aspects for further investigation.
Despite the significant advances made in computational methods for modeling DNA-binding affinity landscapes, there are still bottlenecks that continue to hamper the progress.
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Significant progress has been made in the computational identification of putative CREs in a variety of species [3] [7].
Several assumptions and simplifications were made in the computational model.
Much progress has been made in developing computational methods that predict single locations for proteins.
Although some progress has been made in the computational prediction of FRET changes [ 4], empirical screening remains the most effective method of achieving substantial improvements.
While excellent progress has been made in using computational RNA structure prediction tools to engineer RNA gene regulatory mechanisms, we emphasize that their inherent approximations should be kept in mind when applying them.
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