Patrizia; Babić Janković, Marko; Perčić Marko; Pina In: Molecular Systems Design & Engineering, vol. 8, iss. 11, pp. 1371-1380, 2023. @article{nokey, |
Janković, Patrizia; Otović, Erik; Mauša, Goran; Kalafatovic, Daniela Manually curated dataset of catalytic peptides for ester hydrolysis Journal Article In: Data in Brief, pp. 109290, 2023. @article{jankovic2023manually, |
Mauša, Goran; Njirjak, Marko; Otović, Erik; Kalafatovic, Daniela Configurable soft computing-based generative model: The search for catalytic peptides Journal Article In: MRS Advances, pp. 1–7, 2023. @article{mauvsa2023configurable, |
Erjavac, Ivan; Kalafatovic, Daniela; Mauša, Goran Coupled encoding methods for antimicrobial peptide prediction: How sensitive is a highly accurate model? Journal Article In: Artificial Intelligence in the Life Sciences, vol. 2, no. 100034, pp. 10, 2022. @article{Erjavac2022, |
Pina, Ana S.; Morgado, Leonor; Duncan, Krystyna L.; Carvalho, Sara; Carvalho, Henrique F.; Barbosa, Arménio J. M.; de P. Mariz, Beatriz; Moreira, Inês P.; Kalafatovic, Daniela; Morais Faustino, Bruno M.; Narang, Vishal; Wang, Tong; Pappas, Charalampos G.; Ferreira, Isabel; Roque, A. Cecília A.; Ulijn, Rein V. Discovery of phosphotyrosine-binding oligopeptides with supramolecular target selectivity Journal Article In: Chemical Science , vol. 13, pp. 210-217, 2022. @article{nokey, We demonstrate phage-display screening on self-assembled ligands that enables the identification of oligopeptides that selectively bind dynamic supramolecular targets over their unassembled counterparts. The concept is demonstrated through panning of a phage-display oligopeptide library against supramolecular tyrosine-phosphate ligands using 9-fluorenylmethoxycarbonyl-phenylalanine-tyrosine-phosphate (Fmoc-FpY) micellar aggregates as targets. The 14 selected peptides showed no sequence consensus but were enriched in cationic and proline residues. The lead peptide, KVYFSIPWRVPM-NH2 (P7) was found to bind to the Fmoc-FpY ligand exclusively in its self-assembled state with KD = 74 ± 3 μM. Circular dichroism, NMR and molecular dynamics simulations revealed that the peptide interacts with Fmoc-FpY through the KVYF terminus and this binding event disrupts the assembled structure. In absence of the target micellar aggregate, P7 was further found to dynamically alternate between multiple conformations, with a preferred hairpin-like conformation that was shown to contribute to supramolecular ligand binding. Three identified phages presented appreciable binding, and two showed to catalyze the hydrolysis of a model para-nitro phenol phosphate substrate, with P7 demonstrating conformation-dependent activity with a modest kcat/KM = 4 ± 0.3 × 10−4 M−1 s−1. |
Otović, Erik; Njirjak, Marko; Kalafatovic, Daniela; Mauša, Goran Sequential properties representation scheme for recurrent neural network-based prediction of therapeutic peptides Journal Article In: Journal of Chemical Information and Modeling, vol. 62, no. 12, pp. 2961–2972, 2022. @article{otović2022sequential, |
Babić, Marko; Janković, Patrizia; Marchesan, Silvia; Mauša, Goran; Kalafatovic, Daniela Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs Journal Article In: Journal of Chemical Information and Modeling, vol. 62, no. 24, pp. 6398–6410, 2022. @article{babić2022esterase, |
Janković, Patrizia; Šantek, Iva; Pina, Ana Sofia; Kalafatovic, Daniela Exploiting Peptide Self-Assembly for the Development of Minimalistic Viral Mimetics Journal Article In: Frontiers in Chemistry, vol. 9, pp. 594, 2021. @article{jankovic2021virusmimetics, Viruses are natural supramolecular nanostructures that form spontaneously by molecular self-assembly of complex biomolecules. Peptide self-assembly is a versatile tool that allows mimicking viruses by creating their simplified versions through the design of functional, supramolecular materials with modularity, tunability, and responsiveness to chemical and physical stimuli. The main challenge in the design and fabrication of peptide materials is related to the precise control between the peptide sequence and its resulting supramolecular morphology. We provide an overview of existing sequence patterns employed for the development of spherical and fibrillar peptide assemblies that can act as viral mimetics, offering the opportunity to tackle the challenges of viral infections. |
Kalafatovic, Daniela; Mauša, Goran; Maslov, Dina Rešetar; Giralt, Ernest Bottom-Up Design Approach for OBOC Peptide Libraries Journal Article In: Molecules, vol. 25, no. 15, pp. 15, 2020. @article{Kalafatovic2020, |
Kalafatovic, Daniela; Mauša, Goran; Todorovski, Toni; Giralt, Ernest Algorithm-supported, mass and sequence diversity-oriented random peptide library design Journal Article In: Journal of cheminformatics, vol. 11, no. 1, pp. 25, 2019. @article{kalafatovic2019algorithm, |
2023 |
Patrizia; Babić Janković, Marko; Perčić Marko; Pina In: Molecular Systems Design & Engineering, vol. 8, iss. 11, pp. 1371-1380, 2023. @article{nokey, |
Toni; Kalafatovic Todorovski, Daniela; Andreu Antiviral Peptide-Based Conjugates: State of the Art and Future Perspectives Journal Article In: Pharmaceutics, vol. 15, iss. 2, pp. 357, 2023. @article{nokey, |
Janković, Patrizia; Otović, Erik; Mauša, Goran; Kalafatovic, Daniela Manually curated dataset of catalytic peptides for ester hydrolysis Journal Article In: Data in Brief, pp. 109290, 2023. @article{jankovic2023manually, |
Otović, E; Lerga, J; Kalafatovic, D; Mauša, G Neuroevolution for the Sustainable Evolution of Neural Networks Proceedings Article In: 2023 46th MIPRO ICT and Electronics Convention (MIPRO), pp. 1045–1051, IEEE 2023. @inproceedings{otovic2023neuroevolution, |
Mauša, Goran; Njirjak, Marko; Otović, Erik; Kalafatovic, Daniela Configurable soft computing-based generative model: The search for catalytic peptides Journal Article In: MRS Advances, pp. 1–7, 2023. @article{mauvsa2023configurable, |
2022 |
Erjavac, Ivan; Kalafatovic, Daniela; Mauša, Goran Coupled encoding methods for antimicrobial peptide prediction: How sensitive is a highly accurate model? Journal Article In: Artificial Intelligence in the Life Sciences, vol. 2, no. 100034, pp. 10, 2022. @article{Erjavac2022, |
Pina, Ana S.; Morgado, Leonor; Duncan, Krystyna L.; Carvalho, Sara; Carvalho, Henrique F.; Barbosa, Arménio J. M.; de P. Mariz, Beatriz; Moreira, Inês P.; Kalafatovic, Daniela; Morais Faustino, Bruno M.; Narang, Vishal; Wang, Tong; Pappas, Charalampos G.; Ferreira, Isabel; Roque, A. Cecília A.; Ulijn, Rein V. Discovery of phosphotyrosine-binding oligopeptides with supramolecular target selectivity Journal Article In: Chemical Science , vol. 13, pp. 210-217, 2022. @article{nokey, We demonstrate phage-display screening on self-assembled ligands that enables the identification of oligopeptides that selectively bind dynamic supramolecular targets over their unassembled counterparts. The concept is demonstrated through panning of a phage-display oligopeptide library against supramolecular tyrosine-phosphate ligands using 9-fluorenylmethoxycarbonyl-phenylalanine-tyrosine-phosphate (Fmoc-FpY) micellar aggregates as targets. The 14 selected peptides showed no sequence consensus but were enriched in cationic and proline residues. The lead peptide, KVYFSIPWRVPM-NH2 (P7) was found to bind to the Fmoc-FpY ligand exclusively in its self-assembled state with KD = 74 ± 3 μM. Circular dichroism, NMR and molecular dynamics simulations revealed that the peptide interacts with Fmoc-FpY through the KVYF terminus and this binding event disrupts the assembled structure. In absence of the target micellar aggregate, P7 was further found to dynamically alternate between multiple conformations, with a preferred hairpin-like conformation that was shown to contribute to supramolecular ligand binding. Three identified phages presented appreciable binding, and two showed to catalyze the hydrolysis of a model para-nitro phenol phosphate substrate, with P7 demonstrating conformation-dependent activity with a modest kcat/KM = 4 ± 0.3 × 10−4 M−1 s−1. |
Grbčić, Luka; Družeta, Siniša; Mauša, Goran; Lipić, Tomislav; Lušić, Darija Vukić; Alvir, Marta; Lučin, Ivana; Sikirica, Ante; Davidović, Davor; Travaš, Vanja; others, Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis Journal Article In: Environmental Modelling & Software, vol. 155, pp. 105458, 2022. @article{grbvcic2022coastal, |
Lučin, Ivana; Družeta, Siniša; Mauša, Goran; Alvir, Marta; Grbčić, Luka; Lušić, Darija Vukić; Sikirica, Ante; Kranjčević, Lado Predictive modeling of microbiological seawater quality in karst region using cascade model Journal Article In: Science of The Total Environment, vol. 851, pp. 158009, 2022. @article{luvcin2022predictive, |
Otović, Erik; Njirjak, Marko; Kalafatovic, Daniela; Mauša, Goran Sequential properties representation scheme for recurrent neural network-based prediction of therapeutic peptides Journal Article In: Journal of Chemical Information and Modeling, vol. 62, no. 12, pp. 2961–2972, 2022. @article{otović2022sequential, |
Babić, Marko; Janković, Patrizia; Marchesan, Silvia; Mauša, Goran; Kalafatovic, Daniela Esterase Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs Journal Article In: Journal of Chemical Information and Modeling, vol. 62, no. 24, pp. 6398–6410, 2022. @article{babić2022esterase, |
2021 |
Otović, Erik; Njirjak, Marko; Jozinović, Dario; Mauša, Goran; Michelini, Alberto; S̆tajduhar, Ivan Intra-domain and cross-domain transfer learning for time series data – How transferable are the features? Journal Article In: Knowledge-Based Systems, 2021. @article{nokey, |
Janković, Patrizia; Šantek, Iva; Pina, Ana Sofia; Kalafatovic, Daniela Exploiting Peptide Self-Assembly for the Development of Minimalistic Viral Mimetics Journal Article In: Frontiers in Chemistry, vol. 9, pp. 594, 2021. @article{jankovic2021virusmimetics, Viruses are natural supramolecular nanostructures that form spontaneously by molecular self-assembly of complex biomolecules. Peptide self-assembly is a versatile tool that allows mimicking viruses by creating their simplified versions through the design of functional, supramolecular materials with modularity, tunability, and responsiveness to chemical and physical stimuli. The main challenge in the design and fabrication of peptide materials is related to the precise control between the peptide sequence and its resulting supramolecular morphology. We provide an overview of existing sequence patterns employed for the development of spherical and fibrillar peptide assemblies that can act as viral mimetics, offering the opportunity to tackle the challenges of viral infections. |
2020 |
Kalafatovic, Daniela; Mauša, Goran; Maslov, Dina Rešetar; Giralt, Ernest Bottom-Up Design Approach for OBOC Peptide Libraries Journal Article In: Molecules, vol. 25, no. 15, pp. 15, 2020. @article{Kalafatovic2020, |
2019 |
Son, Jiye; Kalafatovic, Daniela; Kumar, Mohit; Yoo, Barney; Cornejo, Mike A; Contel, Mar'ia; Ulijn, Rein V Customizing morphology, size, and response kinetics of matrix metalloproteinase-responsive nanostructures by systematic peptide design Journal Article In: ACS nano, vol. 13, no. 2, pp. 1555–1562, 2019. @article{son2019customizing, |
Kalafatovic, Daniela; Mauša, Goran; Todorovski, Toni; Giralt, Ernest Algorithm-supported, mass and sequence diversity-oriented random peptide library design Journal Article In: Journal of cheminformatics, vol. 11, no. 1, pp. 25, 2019. @article{kalafatovic2019algorithm, |
2018 |
Gawrzak, Sylwia; Rinaldi, Lorenzo; Gregorio, Sara; Arenas, Enrique J; Salvador, Fernando; Urosevic, Jelena; Figueras-Puig, Cristina; Rojo, Federico; del Barco Barrantes, Ivan; Cejalvo, Juan Miguel; others, MSK1 regulates luminal cell differentiation and metastatic dormancy in ER+ breast cancer Journal Article In: Nature cell biology, vol. 20, no. 2, pp. 211, 2018. @article{gawrzak2018msk1, |
2017 |
Kalafatovic, Daniela; Giralt, Ernest Cell-penetrating peptides: Design strategies beyond primary structure and amphipathicity Journal Article In: Molecules, vol. 22, no. 11, pp. 1929, 2017. @article{kalafatovic2017cell, |
Mauša, Goran; Grbac, Tihana Galinac Co-evolutionary multi-population genetic programming for classification in software defect prediction: an empirical case study Journal Article In: Applied soft computing, vol. 55, pp. 331–351, 2017. @article{mauvsa2017co, |
2016 |
Kalafatovic, Daniela; Nobis, Max; Son, Jiye; Anderson, Kurt I; Ulijn, Rein V MMP-9 triggered self-assembly of doxorubicin nanofiber depots halts tumor growth Journal Article In: Biomaterials, vol. 98, pp. 192–202, 2016. @article{kalafatovic2016mmp, |
Mauša, Goran; Grbac, Tihana Galinac; Bašić, Bojana Dalbelo A Systematic Data Collection Procedure for Software Defect Prediction Journal Article In: Computer Science and Information Systems, vol. 13, pp. 173-197, 2016. @article{Mausa2015a, |
2015 |
Frederix, Pim WJM; Scott, Gary G; Abul-Haija, Yousef M; Kalafatovic, Daniela; Pappas, Charalampos G; Javid, Nadeem; Hunt, Neil T; Ulijn, Rein V; Tuttle, Tell Exploring the sequence space for (tri-) peptide self-assembly to design and discover new hydrogels Journal Article In: Nature chemistry, vol. 7, no. 1, pp. 30, 2015. @article{frederix2015exploring, |
Kalafatovic, Daniela; Nobis, Max; Javid, Nadeem; Frederix, Pim WJM; Anderson, Kurt I; Saunders, Brian R; Ulijn, Rein V MMP-9 triggered micelle-to-fibre transitions for slow release of doxorubicin Journal Article In: Biomaterials science, vol. 3, no. 2, pp. 246–249, 2015. @article{kalafatovic2015mmp, |
Pappas, Charalampos G; Frederix, Pim WJM; Mutasa, Tapiwa; Fleming, Scott; Abul-Haija, Yousef M; Kelly, Sharon M; Gachagan, Anthony; Kalafatovic, Daniela; Trevino, Jacob; Ulijn, Rein V; others, Alignment of nanostructured tripeptide gels by directional ultrasonication Journal Article In: Chemical communications, vol. 51, no. 40, pp. 8465–8468, 2015. @article{pappas2015alignment, |