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Alex is interested in the use of computational methods to understand media ecosystems.
This is accompanied by an increasing use of computational methods in stapled peptide design.
It entails the use of computational methods (e.g., algorithms) for the representation and simulation of biological systems, as well as for the interpretation of experimental data, often on a very large scale.
Constraint-based metabolic modelling (CBMM) consists in the use of computational methods and tools to perform genome-scale simulations and predict metabolic features at the whole cellular level.
With the use of computational methods in the field of drug design becoming ever more prevalent, there is pressure to port these technologies to other fields.
The natural consequence is the use of computational methods at least for initial research, such as the prediction of putative binding sites of ligands or metal ions.
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These signatures use a range of computational methods to infer potential structure, function and/or evolutionary relationships for a query sequence.
We then examine available high resolution structural data and use a suite of computational methods to account for missing residues at the subunit and/or domain level.
We used a variety of computational methods to investigate the interaction between hAMCase and the natural-product cyclopentapeptide chitinase inhibitor argifin.
Using a collection of computational methods, the IgM sequences from 14 fish were analyzed.
Using an array of computational methods we identified possible point mutations that could predispose PrPC to misfold into PrPSc.
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