Computational chemistry in drug discovery

Description of the research topic

Development and application of computational methods supporting drug discovery projects. The methods include classical and quantum mechanical molecular modelling tools, like ligand and protein structure based virtual screening, quantitative structure-activity relationship studies, molecular dynamics and data mining. Analysis and prediction of physico-chemical properties and ligand-protein interactions of drug candidates in order to optimize these features and to develop potential drug candidates.

Thesis supervisor: György Ferenczy

Required language skills: English

How to Apply?

If you are interested apply here: [PhD] György Hevesy Doctoral School of Chemistry – Eötvös Loránd University (elte.hu)

For more information visite the following website: György Hevesy Doctoral School of Chemistry (elte.hu)

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