Projects per year
Personal profile
Research interests
We are interested in the structure and function of bio-macromolecules in biological systems. We use methods of computational biochemistry and bioinformatics in areas such as antiviral/antimicrobial drug target characterisation and drug discovery.
Visiting researchers with their own funding are welcome. Additionally, I will support applications for research fellowships and PhD studentships via overseas or EU/UK funding organisations. Please see the Research Degrees page.
Teaching specialisms
Protein Structure, Enzyme Kinetics, Nitrogen Metabolism, Fluorescence, Protein-Ligand Binding, Membrane Proteins, Single Molecule Methods, Computational Biochemistry, Industrial Enzymology
Commercial and public engagement
The book 'Molecular Modeling of Proteins' covers molecular dynamics simulations, force fields, normal modes and essential dynamics, free energy calculations, membrane proteins, protein structure determination, protein folding and drug design.
Press coverage of research:
Fingerprint
Dive into the research topics where Andreas Kukol is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Projects
- 10 Finished
-
-
-
-
£199,148 Durable Resistance
European Commission (EC) - Horizon 2020
1/05/11 → 1/04/13
Project: Research
-
-
Modelling and Simulation of Proteins
Patel, H. & Kukol, A., 17 May 2021, Molecular Biology and Biotechnology. Rapley, R. (ed.). 7 ed. United Kingdom: Royal Society of Chemistry, p. 394-409Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review
-
Integrating molecular modelling methods to advance influenza A virus drug discovery
Patel, H. & Kukol, A., 19 Nov 2020, (E-pub ahead of print) In: Drug Discovery Today.Research output: Contribution to journal › Article › peer-review
Open AccessFile1 Citation (Scopus)32 Downloads (Pure) -
Prediction of ligands to universally conserved binding sites of the influenza A virus nuclear export protein
Patel, H. & Kukol, A., 1 Nov 2019, In: Virology. 537, p. 97-103 7 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Citations (Scopus)14 Downloads (Pure) -
Comparative modelling of the kinase IKK-beta and prediction of inhibitors
Kalia, M., Varsani, P. & Kukol, A., 8 Oct 2019.Research output: Contribution to conference › Poster › peer-review
Open AccessFile34 Downloads (Pure) -
Genomic evidence for genes encoding leucine-rich repeat receptors linked to resistance against the eukaryotic extra- and intracellular Brassica napus pathogens Leptosphaeria maculans and Plasmodiophora brassicae
Stotz, H., Pascoe, H., Parham, H., Fitt, B., Mashanova, A., Kukol, A., Larkan, N. & Hossein, B., 1 Jun 2018, In: PLoS ONE. 13, 6, p. 1-17 e0198201.Research output: Contribution to journal › Article › peer-review
Open AccessFile5 Citations (Scopus)80 Downloads (Pure)