Publication Records

MIČAN, Jan, Da 'san M. M. JARADAT, Weidong LIU, Gert WEBER, Stanislav MAZURENKO, Uwe T. BORNSCHEUER, Jiří DAMBORSKÝ, Ren WEI and David BEDNÁŘ. Exploring new galaxies: Perspectives on the discovery of novel PET-degrading enzymes. Applied Catalysis B: Environment and Energy. Amsterdam: Elsevier, 2024, vol. 342, March 2024, p. 1-16. ISSN 0926-3373. Available from: https://dx.doi.org/10.1016/j.apcatb.2023.123404.

BUSHUIEV, Anton, Roman BUSHUIEV, Petr KOUBA, Anatolii FILKIN, Marketa GABRIELOVA, Michal GABRIEL, Jiri SEDLAR, Tomas PLUSKAL4, Jiří DAMBORSKÝ, Stanislav MAZURENKO and Josef SIVIC. Learning to design protein-protein interactions with enhanced generalization. Online. In 12th International Conference on Learning Representations 2024. 2024, 26 pp.

ŠTOURAČ, Jan, Simeon BORKO, Rayyan Tariq KHAN, Petra POKORNÁ, Adam DOBIÁŠ, Joan PLANAS IGLESIAS, Stanislav MAZURENKO, José Gaspar RANGEL PAMPLONA PIZARRO PINTO, Veronika SZOTKOWSKÁ, Jaroslav ŠTĚRBA, Ondřej SLABÝ, Jiří DAMBORSKÝ and David BEDNÁŘ. PredictONCO: a web tool supporting decision-making in precision oncology by extending the bioinformatics predictions with advanced computing and machine learning. Briefings in Bioinformatics. Oxford University Press, 2024, vol. 25, No 1, p. 1-10. ISSN 1467-5463. Available from: https://dx.doi.org/10.1093/bib/bbad441.

BUSHUIEV, Anton, Roman BUSHUIEV, Jiri SEDLAR, Tomas PLUSKAL, Jiří DAMBORSKÝ, Stanislav MAZURENKO and Josef SIVIC. Revealing data leakage in protein interaction benchmarks. In ICLR 2024 Workshop on Generative and Experimental Perspectives for Biomolecular Design. 2024, 13 pp.

MARTIN, Hector Garcia, Stanislav MAZURENKO and Huimin ZHAO. Special Issue on Artificial Intelligence for Synthetic Biology. ACS Synthetic Biology. American Chemical Society, 2024, vol. 13, No 2, p. 408-410. ISSN 2161-5063. Available from: https://dx.doi.org/10.1021/acssynbio.3c00760.

VAŠINA, Michal, David KOVÁŘ, Jiří DAMBORSKÝ, Ding YUN, Tianjin YANG, Andrew DE MELLO, Stanislav MAZURENKO, Stavros STAVRAKIS and Zbyněk PROKOP. In-depth analysis of biocatalysts by microfluidics: An emerging source of data for machine learning. Biotechnology Advances. OXFORD: Elsevier, 2023, vol. 66, September 2023, p. 1-22. ISSN 0734-9750. Available from: https://dx.doi.org/10.1016/j.biotechadv.2023.108171.

KOUBA, Petr, Pavel KOHOUT, Faraneh HADDADI, Anton BUSHUIEV, Raman SAMUSEVICH, Jiri SEDLAR, Jiří DAMBORSKÝ, Tomáš PLUSKAL, Josef SIVIC and Stanislav MAZURENKO. Machine Learning-Guided Protein Engineering. ACS Catalysis. WASHINGTON: AMER CHEMICAL SOC, 2023, vol. 13, No 21, p. 13863-13895. ISSN 2155-5435. Available from: https://dx.doi.org/10.1021/acscatal.3c02743.

VAŠINA, Michal, Pavel VAŇÁČEK, Jiri HON, David KOVÁŘ, Hana FALDYNOVÁ, Antonín KUNKA, Tomáš BURYŠKA, Christoffel P. S. BADENHORST, Stanislav MAZURENKO, David BEDNÁŘ, Stavros STAVRAKIS, Uwe T. BORNSCHEUER, Andrew DEMELLO, Jiří DAMBORSKÝ and Zbyněk PROKOP. Advanced database mining of efficient haloalkane dehalogenases by sequence and structure bioinformatics and microfluidics. Chem Catalysis. Elsevier, 2022, vol. 2, No 10, p. 2704-2725. ISSN 2667-1093. Available from: https://dx.doi.org/10.1016/j.checat.2022.09.011.

KUNKA, Antonín, David LACKO, Jan ŠTOURAČ, Jiří DAMBORSKÝ, Zbyněk PROKOP and Stanislav MAZURENKO. CalFitter 2.0: Leveraging the power of singular value decomposition to analyse protein thermostability. Nucleic acids research. Oxford: Oxford University Press, 2022, vol. 50, W1, p. "W145"-"W151", 7 pp. ISSN 0305-1048. Available from: https://dx.doi.org/10.1093/nar/gkac378.

KOVÁŘ, David, Stanislav MAZURENKO, Jiří DAMBORSKÝ and Zbyněk PROKOP. MAPityser 2.1 - Analyzátor dat pro mikrofluidní platformu MAPit (MAPityser 2.1 - Data Analyser for the microfluidic platform MAPit). 2022.

KOVÁŘ, David, Stanislav MAZURENKO, Michal VAŠINA, Jiří DAMBORSKÝ and Zbyněk PROKOP. MicroPEX Data Analyser 1.0* (MicroPEX Data Analyser 1.0). 2022.

VELECKÝ, Jan, Marie HAMŠÍKOVÁ, Jan ŠTOURAČ, Miloš MUSIL, Jiří DAMBORSKÝ, David BEDNÁŘ and Stanislav MAZURENKO. SoluProtMutDB: A manually curated database of protein solubility changes upon mutations. Computational and Structural Biotechnology Journal. Elsevier, 2022, vol. 20, November 2022, p. 6339-6347. ISSN 2001-0370. Available from: https://dx.doi.org/10.1016/j.csbj.2022.11.009.

VAŠINA, Michal, Jan VELECKÝ, Joan PLANAS IGLESIAS, Sérgio Manuel MARQUES, Jana ŠKAŘUPOVÁ, Jiří DAMBORSKÝ, David BEDNÁŘ, Stanislav MAZURENKO and Zbyněk PROKOP. Tools for computational design and high-throughput screening of therapeutic enzymes. ADVANCED DRUG DELIVERY REVIEWS. NETHERLANDS: ELSEVIER, 2022, vol. 183, April 2022, p. 1-16. ISSN 0169-409X. Available from: https://dx.doi.org/10.1016/j.addr.2022.114143.

DAMBORSKÝ, Jiří, David BEDNÁŘ, Zbyněk PROKOP, Martin MAREK, Stanislav MAZURENKO, Jan ŠTOURAČ, Sérgio Manuel MARQUES, Gabriela Filipa FONSECA PINTO, Joan PLANAS IGLESIAS, Miloš MUSIL, Jiří HON, Ondřej VÁVRA, Rayyan Tariq KHAN, Jiří FILIPOVIČ and Barbora KOZLÍKOVÁ. Computational enzyme design for metabolic engineering. In The 45th FEBS Congress. 2021. ISSN 2211-5463.

ŠTOURAČ, Jan, Juraj DUBRAVA, Miloš MUSIL, Jana HORÁČKOVÁ, Jiří DAMBORSKÝ, Stanislav MAZURENKO and David BEDNÁŘ. FireProt(DB): database of manually curated protein stability data. Nucleic acids research. Oxford: Oxford University Press, 2021, vol. 49, D1, p. "D319"-"D324", 6 pp. ISSN 0305-1048. Available from: https://dx.doi.org/10.1093/nar/gkaa981.

CLASON, Christian, Stanislav MAZURENKO and Tuomo VALKONEN. Primal-Dual Proximal Splitting and Generalized Conjugation in Non-smooth Non-convex Optimization. Applied Mathematics and Optimization. New York: Springer, 2021, vol. 84, No 2, p. 1239-1284. ISSN 0095-4616. Available from: https://dx.doi.org/10.1007/s00245-020-09676-1.

KOKKONEN, Piia Pauliina, Andy BEIER, Stanislav MAZURENKO, Jiří DAMBORSKÝ, David BEDNÁŘ and Zbyněk PROKOP. Substrate inhibition by the blockage of product release and its control by tunnel engineering. RSC Chemical Biology. Cambridge: Royal Society of Chemistry, 2021, vol. 2, No 2, p. 645-655. ISSN 2633-0679. Available from: https://dx.doi.org/10.1039/d0cb00171f.

MAZURENKO, Stanislav, Zbyněk PROKOP and Jiří DAMBORSKÝ. Machine Learning in Enzyme Engineering. ACS Catalysis. Washington, D.C.: American Chemical Society, 2020, vol. 10, No 2, p. 1210-1223. ISSN 2155-5435. Available from: https://dx.doi.org/10.1021/acscatal.9b04321.

MAZURENKO, Stanislav. Predicting protein stability and solubility changes upon mutations: data perspective. ChemCatChem. Weinheim: Wiley-VCH GmbH, 2020, vol. 12, No 22, p. 5590-5598. ISSN 1867-3880. Available from: https://dx.doi.org/10.1002/cctc.202000933.

MAZURENKO, Stanislav, Jyrki JAUHIAINEN and Tuomo VALKONEN. Primal-dual block-proximal splitting for a class of non-convex problems. Electronic Transactions on Numerical Analysis. Kent: Kent State University, 2020, vol. 52, No 2020, p. 509-552. ISSN 1068-9613. Available from: https://dx.doi.org/10.1553/etna_vol52s509.

CLASON, Christian, Stanislav MAZURENKO and Tuomo VALKONEN. ACCELERATION AND GLOBAL CONVERGENCE OF A FIRST-ORDER PRIMAL-DUAL METHOD FOR NONCONVEX PROBLEMS. SIAM JOURNAL ON OPTIMIZATION. PHILADELPHIA: SIAM PUBLICATIONS, 2019, vol. 29, No 1, p. 933-963. ISSN 1052-6234. Available from: https://dx.doi.org/10.1137/18M1170194.

NEVOLOVÁ, Šárka, Elisabet MAŇÁSKOVÁ, Stanislav MAZURENKO, Jiří DAMBORSKÝ and Zbyněk PROKOP. Development of Fluorescent Assay for Monitoring of Dehalogenase Activity. Biotechnology Journal. WEINHEIM: WILEY-V C H VERLAG GMBH, 2019, vol. 14, No 3, p. 1-6. ISSN 1860-6768. Available from: https://dx.doi.org/10.1002/biot.201800144.