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The powerful empirical binding data and crystal structures present a unique opportunity for computational studies of peptide inhibition of the p53 MDM2/MDMX interactions.
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Insights into the binding of aminoglycosides, macrolides, tetracyclines and other antibiotics provide opportunities for computational, structure-based approaches to be used in the design of appropriate modifications to existing antibiotics as well as in the discovery of completely new drug classes.
Advances in the field of structural biology have provided tremendous opportunities for computational biologists to design small-molecule drug leads with better biological activity and minimal side effects for a disease-specific target.
The rapidly growing metagenomic databases provide increasing opportunities for computational discovery of new groups of organisms.
The big data era provides ample opportunities for computational analysis and design.
Establishing systems biology concepts and understanding the microbe as a whole opens up new opportunities for computational target identification.
Regulon inference mostly remains a field of semi-manual examination since absence of a knowledgebase and informatics platform for automated and systematic investigation restricts opportunities for computational prediction.
This suggests that physiology pedagogy should include pertinent math reviews or opportunities for computational skills practice when introducing the quantitative relationships.
But Eliasmith's biggest obstacle means opportunity for aspiring computational neuroscientists.
There continues to be an opportunity for innovative computational approaches to solving problems in medicinal chemistry.
The benchmark databases of NCIs developed by Hobza et al. offer an excellent opportunity for novel computational techniques to examine NCIs [29 31].
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