| SoluProt: prediction of soluble protein expression in Escherichia coli J Hon, M Marusiak, T Martinek, A Kunka, J Zendulka, D Bednar, ... Bioinformatics 37 (1), 23-28, 2021 | 113 | 2021 |
| Computer‐assisted engineering of hyperstable fibroblast growth factor 2 P Dvorak, D Bednar, P Vanacek, L Balek, L Eiselleova, V Stepankova, ... Biotechnology and bioengineering 115 (4), 850-862, 2018 | 67 | 2018 |
| Exploration of protein unfolding by modelling calorimetry data from reheating S Mazurenko, A Kunka, K Beerens, CM Johnson, J Damborsky, Z Prokop Scientific reports 7 (1), 16321, 2017 | 53 | 2017 |
| CalFitter: a web server for analysis of protein thermal denaturation data S Mazurenko, J Stourac, A Kunka, S Nedeljković, D Bednar, Z Prokop, ... Nucleic acids research 46 (W1), W344-W349, 2018 | 39 | 2018 |
| Evolutionary analysis as a powerful complement to energy calculations for protein stabilization K Beerens, S Mazurenko, A Kunka, SM Marques, N Hansen, M Musil, ... ACS Catalysis 8 (10), 9420-9428, 2018 | 27 | 2018 |
| Haloalkane dehalogenases from marine organisms A Kunka, J Damborsky, Z Prokop Methods in enzymology 605, 203-251, 2018 | 23 | 2018 |
| Advanced database mining of efficient haloalkane dehalogenases by sequence and structure bioinformatics and microfluidics M Vasina, P Vanacek, J Hon, D Kovar, H Faldynova, A Kunka, T Buryska, ... Chem Catalysis 2 (10), 2704-2725, 2022 | 17 | 2022 |
| Metagenome-derived haloalkane dehalogenases with novel catalytic properties M Kotik, P Vanacek, A Kunka, Z Prokop, J Damborsky Applied microbiology and biotechnology 101, 6385-6397, 2017 | 14 | 2017 |
| Discovery of novel haloalkane dehalogenase inhibitors T Buryska, L Daniel, A Kunka, J Brezovsky, J Damborsky, Z Prokop Applied and Environmental Microbiology 82 (6), 1958-1965, 2016 | 12 | 2016 |
| Advancing enzyme’s stability and catalytic efficiency through synergy of force-field calculations, evolutionary analysis, and machine learning A Kunka, SM Marques, M Havlasek, M Vasina, N Velatova, L Cengelova, ... ACS catalysis 13 (19), 12506-12518, 2023 | 11 | 2023 |
| Computational enzyme stabilization can affect folding energy landscapes and lead to catalytically enhanced domain-swapped dimers K Markova, A Kunka, K Chmelova, M Havlasek, P Babkova, SM Marques, ... ACS Catalysis 11 (21), 12864-12885, 2021 | 11 | 2021 |
| Domino-like effect of C112R mutation on ApoE4 aggregation and its reduction by Alzheimer’s Disease drug candidate M Nemergut, SM Marques, L Uhrik, T Vanova, M Nezvedova, DC Gadara, ... Molecular Neurodegeneration 18 (1), 38, 2023 | 7 | 2023 |
| Droplet-based microfluidic temperature-jump platform for the rapid assessment of biomolecular kinetics T Yang, A Villois, A Kunka, F Grigolato, P Arosio, Z Prokop, A deMello, ... Analytical Chemistry 94 (48), 16675-16684, 2022 | 4 | 2022 |
| CalFitter 2.0: Leveraging the power of singular value decomposition to analyse protein thermostability A Kunka, D Lacko, J Stourac, J Damborsky, Z Prokop, S Mazurenko Nucleic Acids Research 50 (W1), W145-W151, 2022 | 4 | 2022 |
| Effects of Alzheimer’s Disease Drug Candidates on Disordered Aβ42 Dissected by Comparative Markov State Analysis (CoVAMPnet) SM Marques, P Kouba, A Legrand, J Sedlar, L Disson, J Planas-Iglesias, ... bioRxiv, 2023 | 3 | 2023 |
| Thermodynamic characterization of amyloid polymorphism by microfluidic transient incomplete separation A Farzadfard, A Kunka, TO Mason, JA Larsen, RK Norrild, ET Dominguez, ... Chemical Science 15 (7), 2528-2544, 2024 | 2 | 2024 |
| Functional and Mechanistic Characterization of an Enzyme Family Combining Bioinformatics and High-Throughput Microfluidics M Vasina, P Vanacek, J Hon, D Kovar, H Faldynova, A Kunka, ... | 2 | 2021 |
| AggreProt: a web server for predicting and engineering aggregation prone regions in proteins J Planas-Iglesias, S Borko, J Swiatkowski, M Elias, M Havlasek, ... Nucleic Acids Research, gkae420, 2024 | 1 | 2024 |
| CoVAMPnet: comparative Markov state analysis for studying effects of drug candidates on disordered biomolecules SM Marques, P Kouba, A Legrand, J Sedlar, L Disson, J Planas-Iglesias, ... JACS Au, 2024 | 1 | 2024 |
| Prediction of aggregation prone regions in proteins using deep neural networks and their suppression by computational design V Cima, A Kunka, E Grakova, J Planas-Iglesias, M Havlasek, ... bioRxiv, 2024.03. 06.583680, 2024 | 1 | 2024 |
