2024.

Reshaping the discovery of self-assembling peptides with generative AI guided by hybrid deep learning

M Njirjak, L Žužić, M Babić, P Janković, E Otović, D Kalafatovic, G Mauša

Nature machine intelligence - 6 1487–1500

https://doi.org/10.1038/s42256-024-00928-1

Q1 Exc

2024

Determining the esterase activity of peptides and peptide assemblies

Janković, Patrizia; Kalafatovic, Daniela;

Methods in Enzymology - 697

2024

Efficiently solving the curse of feature-space dimensionality for improved peptide classification

Negovetić, Mario; Otović, Erik; Kalafatovic, Daniela; Mauša, Goran;

Digital Discovery - 3

Q1

2024

Amyloids, amorphous aggregates and assemblies of peptides–Assessing aggregation

Juković, Maja; Ratkaj, Ivana; Kalafatovic, Daniela; Bradshaw, Nicholas J;

Biophysical chemistry - 308

Q2

2023.

Factors influencing the catalytic activity of metal-dependent histidine-rich peptides: sequence, conformation, stereochemistry, self-assembly or their interplay?

P. Janković, M. Babić, M. Perčić, A. S. Pina, D. Kalafatovic

Molecular Systems Design & Engineering - 8 1371-1380

https://doi.org/10.1039/D3ME00117B

Q2 WOS Q2 WOS

2023.

Configurable soft computing-based generative model: The search for catalytic peptides

G. Mauša, M. Njirjak, E. Otović, D. Kalafatovic

MRS Advances - 1-7

https://link.springer.com/article/10.1557/s43580-023-00629-8

Q4

2023.

Neuroevolution for the Sustainable Evolution of Neural Networks

E Otović, J Lerga, D Kalafatovic, G Mauša

Proceeding of the 46th MIPRO ICT and Electronics Convention (MIPRO) - 1045-1051

https://ieeexplore.ieee.org/abstract/document/10159943

2023.

Manually curated dataset of catalytic peptides for ester hydrolysis

P Janković, E Otović, G Mauša, D Kalafatovic

Data in Brief - 48 1-6

https://www.sciencedirect.com/science/article/pii/S2352340923004092

Q3 WOS

2023

Antiviral peptide-based conjugates: State of the art and future perspectives

Todorovski, Toni; Kalafatovic, Daniela; Andreu, David;

Pharmaceutics - 15

https://doi.org/10.3390/pharmaceutics15020357

Q1 WOS Q1

2022

Esterase sequence composition patterns for the identification of catalytic triad microenvironment motifs

Babic, Marko; Jankovic, Patrizia; Marchesan, Silvia; Mausa, Goran; Kalafatovic, Daniela;

Journal of chemical information and modeling - 62 6398–6410

https://pubs.acs.org/doi/abs/10.1021/acs.jcim.2c00977

Q1 WOS Q1

2022

Catalytic peptides: The challenge between simplicity and functionality

Carvalho, Sara; Peralta Reis, David Q; Pereira, Sara V; Kalafatovic, Daniela; Pina, Ana Sofia;

Israel journal of chemistry - 62

https://onlinelibrary.wiley.com/doi/abs/10.1002/ijch.202200029

Q3

2022.

Phenolic Composition and Antioxidant Activity of Mint (Mentha spp.) Honey

Tomislav Pavlešić, Sanja Poljak, Dijana Mišetić Ostojić, Ivana Lučin, Christian A. Reynolds, Daniela Kalafatović, Lara Saftić Martinović

Food technology and Biotechnology - 60

https://doi.org/10.17113/ftb.60.04.22.7521

Q3

2022

Coastal water quality prediction based on machine learning with feature interpretation and spatio-temporal analysis

Grbčić, Luka; Družeta, Siniša; Mauša, Goran; Lipić, Tomislav; Lušić, Darija Vukić; Alvir, Marta; Lučin, Ivana; Sikirica, Ante; Davidović, Davor; Travaš, Vanja;

Environmental Modelling & Software - 155

https://doi.org/10.1016/j.envsoft.2022.105458

Q1

2022.

Sequential Properties Representation Scheme for Recurrent Neural Network-Based Prediction of Therapeutic Peptides

Erik Otović, Marko Njirjak, Daniela Kalafatovic, Goran Mauša

Journal of Chemical Information and Modeling - 62 2961-2972

https://doi.org/10.1021/acs.jcim.2c00526

Q1

2022

Coupled encoding methods for antimicrobial peptide prediction: how sensitive is a highly accurate model?

Erjavac, Ivan; Kalafatovic, Daniela; Mauša, Goran;

Artificial intelligence in the life sciences - 2

https://doi.org/10.1016/j.ailsci.2022.100034

2022.

Discovery of phosphotyrosine-binding oligopeptide with supramolecular target selectivity

Ana Sofia Pina, Leonor Morgado, Krystyna Louise Duncan, Sara S Carvalho, Henrique F. Carvalho, Arménio J.M. Moura Barbosa, Beatriz de Pina Mariz, Inês P Moreira, Daniela Kalafatovic, Bruno Miguel Morais Faustino, Vishal Narang, Tong Wang, Charalampos Pappas, Isabel Ferreira, Ana C A Roque and Rein Ulijn

Chemical Science

https://doi.org/10.1039/D1SC04420F

Q1

2021

Exploiting peptide self-assembly for the development of minimalistic viral mimetics

Janković, Patrizia; Šantek, Iva; Pina, Ana Sofia; Kalafatovic, Daniela;

Frontiers in chemistry - 9 594

https://doi.org/10.3389/fchem.2021.723473

Q2

2020

Bottom-Up Design Approach for OBOC Peptide Libraries

Daniela Kalafatovic*, Goran Mauša, Dina Rešetar Maslov, Ernest Giralt

Molecules - 25 1-15

https://www.mdpi.com/1420-3049/25/15/3316

Q2

2019

Customizing morphology, size, and response kinetics of matrix metalloproteinase-responsive nanostructures by systematic peptide design

Son, Jiye; Kalafatovic, Daniela; Kumar, Mohit; Yoo, Barney; Cornejo, Mike A; Contel, María; Ulijn, Rein V;

ACS nano - 13 1555-1562

https://pubs.acs.org/doi/abs/10.1021/acsnano.8b07401

Q1 Exc

2019

Algorithm-supported, mass and sequence diversity-oriented random peptide library design

Daniela Kalafatovic, Goran Mauša, Toni Todorovski, Ernest Giralt

Journal of cheminformatics - 11 25

https://jcheminf.biomedcentral.com/articles/10.1186/s13321-019-0347-6

Q1

2018

MSK1 regulates luminal cell differentiation and metastatic dormancy in ER+ breast cancer

Sylwia Gawrzak, Lorenzo Rinaldi, Sara Gregorio, Enrique J Arenas, Fernando Salvador, Jelena Urosevic, Cristina Figueras-Puig, Federico Rojo, Ivan del Barco Barrantes, Juan Miguel Cejalvo, Marta Palafox, Marc Guiu, Antonio Berenguer-Llergo, Aikaterini Symeonidi, Anna Bellmunt, Daniela Kalafatovic, Anna Arnal-Estape, Esther Fernández, Barbara Müllauer, Rianne Groeneveld, Konstantin Slobodnyuk, Camille Stephan-Otto Attolini, Cristina Saura, Joaquín Arribas, Javier Cortes, Ana Rovira, Montse Munoz, Ana Lluch, Violeta Serra, Joan Albanell, Aleix Prat, Angel R Nebreda, Salvador Aznar Benitah, Roger R Gomis

Nature cell biology - 20 211

https://www.nature.com/articles/s41556-017-0021-z

Q1 Exc

2017

Cell-penetrating peptides: design strategies beyond primary structure and amphipathicity

Kalafatovic, Daniela; Giralt, Ernest;

molecules - 22 1929

https://www.mdpi.com/1420-3049/22/11/1929

Q2

2016

MMP-9 triggered self-assembly of doxorubicin nanofiber depots halts tumor growth

Kalafatovic, Daniela; Nobis, Max; Son, Jiye; Anderson, Kurt I; Ulijn, Rein V;

Biomaterials - 98 192-202

https://www.sciencedirect.com/science/article/pii/S0142961216301582

Q1 Exc

2015

Exploring the sequence space for (tri-) peptide self-assembly to design and discover new hydrogels

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;

Nature chemistry - 7 30

https://www.nature.com/articles/nchem.2122

Q1 Exc

2015

Alignment of nanostructured tripeptide gels by directional ultrasonication

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;

Chemical communications - 51 8465-8468

https://pubs.rsc.org/en/content/articlelanding/2015/CC/C5CC02049B#!divAbstract

Q1

2015

MMP-9 triggered micelle-to-fibre transitions for slow release of doxorubicin

Kalafatovic, Daniela; Nobis, Max; Javid, Nadeem; Frederix, Pim WJM; Anderson, Kurt I; Saunders, Brian R; Ulijn, Rein V;

Biomaterials science - 3 246-249

https://pubs.rsc.org/en/content/articlelanding/2015/BM/C4BM00297K#!divAbstract

Q1

27.02.2025.

Advancing Peptide Discovery through Machine Learning-Driven Generative Models

Daniela Kalafatovic

Pune, Indija (10th Indian Peptide Symposium)

25.02.2025.

Advancing Peptide Discovery through Machine Learning-Driven Generative Models

Daniela Kalafatovic

Bengaluru, Indija (Chemical Biology Symposium 2025)

03.12.2024.

Pushing the boundaries of peptide discovery using machine learning-guided generative models

Daniela Kalafatovic

Veldhoven, Nizozemska (NWO Chains)

08.10.2024.

Pushing the boundaries of peptide discovery using machine learning-guided generative models

Daniela Kalafatovic

Cagliari, Italija (13th International Symposium on Nano and Supramolecular Chemistry)

06.09.2024.

Pushing the boundaries of peptide discovery using machine learning-guided generative models

Daniela Kalafatovic

Rijeka (Ljetna konferencija Hrvatskog kemijskog društva Rijeka-Pula 2024)

28.08.2024.

Machine Learning-guided peptide discovery: Are we there yet?

Daniela Kalafatovic

Firenze, Italija (37th European Peptide Symposium)

https://eps2024.com/programme/

22.05.2024.

Machine Learning-guided peptide discovery

Daniela Kalafatović

ASRC CUNY, New York, SAD

17.05.2024.

Machine Learning-guided peptide discovery

Daniela Kalafatovic

Italian Peptide Society (ItPS) seminars, University Tor Vergata Rome (online)

https://x.com/itpeptsoc/status/1789993852901765299

13.04.2023.

Soft Computing Guided Discovery of Short Peptides and Peptide Assemblies

D. Kalafatovic

San Francisco, SAD (MRS Spring Meeting)

12.05.2022.

Design of short peptides and peptide assemblies aided by machine learning and genetic algorithms

Daniela Kalafatovic

CIQUS, Santiago de Compostela, Španjolska

https://www.usc.es/ciqus/en/eventos/lecture-design-short-peptides-and-peptide-assemblies-aided-machine-learning-and-genetic

26.11.2021.

Design of short peptides and peptide assemblies aided by machine learning and genetic algorithms

Daniela Kalafatovic

ITQB Lisabon, Portugal

https://www.itqb.unl.pt/events/seminar-with-daniela-kalafatovic

05.12.2023.

Machine Learning assisted design of bioactive peptides and peptide assemblies

D. Kalafatović

Pozvano predavanje

12th Austrian Peptide Symposium Beč, Austrija

08.11.2023. - 10.11.2023.

Machine learning complements human intuition in the discovery of catalytic peptides

D. Kalafatović

Predavanje

60th Japanese Peptide Symposium Otsu, Japan

20.09.2023.

Integration of machine-learning and human intuition for the discovery of functional peptides

D. Kalafatovic

Predavanje

Peptide Chemistry Day Zagreb, Hrvatska

25.07.2023. - 27.07.2023.

Generative Machine Learning Models Applied to Peptide Self-Assembly,

G. Mauša, D. Kalafatovic

Poster

Peptide Self-Assembly 2023 Manchester, UK

24.06.2023. - 29.06.2023.

Soft computing guided discovery of active peptides

G. Mauša, M. Njirjak, E. Otović, L. Žužić, M. Babić, P. Janković, D. Kalafatovic

Flash talk i poster prezentacija

The 28th American Peptide Symposium Phoenix, Arizona, SAD

10.04.2023. - 14.04.2023.

Soft Computing Guided Discovery of Short Peptides and Peptide Assemblies

D. Kalafatovic

Pozvano predavanje

MRS Spring Meeting San Francisco San Francisco, SAD

01.12.2022.

Enzyme Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs

M. Babić, D. Kalafatovic

Poster

11th Austrian Peptide Symposium Beč, Austrija

01.12.2022.

Transfer Learning for Improved Peptide Activity Prediction on Small Dataset

E. Otović, D. Kalafatovic, G. Mauša

Poster

11th Austrian Peptide Symposium Beč, Austrija

01.12.2022.

Genetic algorithm-enhanced parallel chemical space exploration utilising multiple peptide libraries

M. Njirjak, D. Kalafatovic, G. Mauša

Poster

11th Austrian Peptide Symposium Beč, Austrija

01.12.2022.

Esterase-inspired short catalytic peptides with tunable activity

P. Jankovic, T. Todorovski, A.S. Pina, D. Kalafatovic

Poster

11th Austrian Peptide Symposium Beč, Austrija

30.10.2022. - 04.11.2022.

Esterase Sequence Composition Patters As Inspiration For The Design Of Short Catalytic Peptides

D. Kalafatovic, P. Janković, M. Babić, A. S. Pina, G. Mauša

Poster

Gordon Research Conference Chemistry and Biology of peptides Oxnard, Kalifornija, SAD

30.10.2022. - 04.11.2022.

Soft Computing for Constructive Peptide Design and Peptide Activity Prediction

G. Mauša, E. Otović, M. Njirjak, I. Erjavac, D. Kalafatovic

Poster

Gordon Research Conference Chemistry and Biology of peptides Oxnard, Kalifornija, SAD

27.10.2022. - 28.10.2022.

Enzyme Sequence Composition Patterns for the Identification of Catalytic Triad Microenvironment Motifs

M. Babić, D. Kalafatović

Poster

6th International PhD Conference – Digitalization in Science and Society Ljubljana, Slovenija

01.09.2022. - 02.09.2022.

Genetic Algorithm-enhanced Parallel Chemical Space Exploration Utilising Multiple Peptide Libraries

Marko Njirjak, Daniela Kalafatovic, Goran Mauša

Poster

5th RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry Cambridge, UK

01.09.2022. - 02.09.2022.

Transfer Learning for Improved Peptide Activity Prediction on Small Dataset

Erik Otović, Daniela Kalafatovic, Goran Mauša

Poster

5th RSC-BMCS / RSC-CICAG Artificial Intelligence in Chemistry Cambridge, UK

28.08.2022. - 02.09.2022.

Multimerized linear and branched peptide-porphyrin conjugates with potential antiviral activity

Giuseppina Guida, P. Janković, D. Mendonça, D. Kalafatovic, A. Da Poian, M. Castanho, D. Andreu, T. Todorovski

Poster

36th European Peptide Symposium and 12th International Peptide Symposium Sitges (Barcelona), Španjolska

28.08.2022. - 02.09.2022.

Hydrolase-inspired design of short catalytic linear and cyclic peptides

Patrizia Janković, Toni Todorovski, Daniela Kalafatovic

Poster

36th European Peptide Symposium and 12th International Peptide Symposium Sitges (Barcelona), Španjolska

28.08.2022. - 02.09.2022.

Design of short peptides and peptide assemblies aided by machine learning

Daniela Kalafatovic

Predavanje

36th European Peptide Symposium and 12th International Peptide Symposium Sitges (Barcelona), Španjolska

16.06.2022. - 18.06.2022.

Design of short catalytic peptides inspired by hydrolases

Patrizia Janković, Toni Todorovski, Daniela Kalafatovic

Poster

17th Naples Workshohp on Bioactive Peptides Napulj, Italija

10.05.2022. - 13.05.2022.

Multiple alignment method for identification of catalytic microenvironments in enzymes

Marko Babić, Daniela Kalafatovic

Poster

European Rosettacon on protein structure prediction and design Warsaw, Poljska (online)

05.10.2021. - 08.10.2021.

Design of linear and cyclic peptides for ester hydrolysis

Sepčić, S., Janković, P. & Kalafatovic, D.

Poster

27th Croatian Meeting of Chemists and Chemical Engineers Veli Lošinj, Hrvatska

05.10.2021. - 08.10.2021.

Theoretical evaluation of enzyme active sites and catalytic peptides involved in ester hydrolysis

Babić, M., Mauša, G., Svedružić, Ž. & Kalafatovic, D.

Poster

27th Croatian Meeting of Chemists and Chemical Engineers Veli Lošinj, Hrvatska

28.09.2021. - 01.10.2021.

Esterase active site-inspired design of short catalytic peptides

Kalafatovic, D.

Poster

Designing functional biomolecular assemblies_ Beyond biology Bled, Slovenija (online)

06.09.2021. - 08.09.2021.

Application of soft computing in peptide design

Kalafatovic, D.

Predavanje

1st Women in Supramolecular Chemistry Workshop Cagliari, Italija

06.09.2021. - 08.09.2021.

Design of short catalytic sequences inspired by enzymatic active sites

Janković, P., Todorovski, T. & Kalafatovic, D.

Poster

1st Women in Supramolecular Chemistry Workshop Cagliari, Italija

07.07.2021. - 09.07.2021.

Minimalistic Peptide-based Virus Mimetics

Janković, P., Budić, K., Pina, A. & Kalafatovic, D.

Poster

Systems Chemistry Symposium Strasbourg, Francuska (online)

23.04.2018.

Antimicrobial activity evaluation of newly designed antimicrobial peptides against multidrug-resistant bacteria

J. Moreno Morales, D. Kalafatovic, C. Ballesté, E. Giralt, J. Vila Estape.

Poster

European Congress of Clinical Microbiology and Infectious Diseases Madrid, Španjolska

16.10.2017.

OBOC combinatorial peptide libraries for identification of targetable membrane proteins as bone metastasis mediators in breast cancer

Kalafatovic, Daniela; Llorente, Alicia; Teixido, Meritxell; Gomis, Roger; Giralt, Ernest

Poster

12th Australian Peptide Symposium Peppers Noosa Resort, Queensland, Australija

18.06.2015.

MMP-9 responsive peptides for tumor associated formation of doxorubicin releasing nanofibres

D. Kalafatovic, M. Nobis, K. I. Anderson and R. V. Ulijn

Poster

Soft Nano NY Advanced Science Research Center, City University, New York, NY, SAD

17.04.2015.

MMP-9 responsive peptides for tumor associated formation of doxorubicin releasing nanofibres

D. Kalafatovic, M. Nobis, Kurt I. Anderson and R. V. Ulijn

Predavanje

BioDesign MegaMeeting Center for Integrative Proteomics Research, Rutgers University, New Jersey, SAD

19.02.2015.

MMP-9 responsive peptides for tumor associated formation of doxorubicin releasing nanofibres

D. Kalafatovic, M. Nobis, K. I. Anderson and R. V. Ulijn

Poster

Nanoscience NY Advanced Science Research Center, City University, New York, NY, SAD

30.10.2013.

MMP-9 triggered reconfiguration of supramolecular peptide amphiphiles for controlled release

Kalafatovic, D.; Nobis, M; Anderson, K. I.; Ulijn, R.V.

Predavanje

Peptide Materials for Nanotechnology and Biomedicine (PepMat 2013) Sorrento, Italija

06.09.2013.

Enzymatic release of a model drug from peptide micelles

Kane, R.; Leckie, J.; Kalafatovic, D.; Garety, L.; Ulijn, R.V.

Poster

Nuffield Bursary Scheme for Schools & Colleges Scotland, Royal College of Physician Edinburgh, UK

25.06.2013.

MMP-9 triggered reconfiguration of supramolecular peptide systems

Kalafatovic, D.; Ulijn, R. V.

Predavanje

Macro Group Young Researchers Meeting Nottingham, UK

07.06.2012.

Enzyme responsive microgels

Kalafatovic, D.; Ulijn, R.V

Poster

University of Strathclyde Research Day 2012 Glasgow, UK

12.-14.3.2018.

OBOC combinatorial peptide libraries for identification of targetable membrane proteins as bone metastasis mediators in breast cancer

D. Kalafatovic, A. Llorente, M. Teixido, E. Giralt and R. Gomis

Poster

Barcelona BioMed Conference: Mechanisms of Metastasis Barcelona, Španjolska

15-17.11.2017.

Decision Support System for Combinatorial Peptide Libraries

Mauša, Goran; Kalafatovic, Daniela; Giralt, Ernest; Galinac Grbac, Tihana

Poster

ENABLE Symposium 2017 Barcelona, Španjolska

17-20.8.2014.

MMP-9 responsive peptides for tumor associated formation of doxorubicin releasing nanofibres

Kalafatovic, D.; Nobis, M.; Anderson, K. I.; Ulijn, R. V.

Poster

RSC Challenges in Nanoscience University of California San Diego (San Diego, USA)

16-17.12.2013.

MMP-9 triggered reconfiguration of supramolecular peptide amphiphiles

Kalafatovic, D; Nobis, M; and Ulijn, R. V.

Poster

Macrocyclic and Supramolecular Chemistry Meeting Glasgow, UK

12-13.6.2013.

Enzyme responsive materials for controlled release

Kalafatovic, D.; Ulijn, R. V

Poster

Directed Assembly of Functional Nanomaterials: Design, control and manufacture Glasgow, UK

4-5.9.2012.

Enzyme responsive microgels

Kalafatovic, D.; Saunders, B.R.; Ulijn, R. V.

Poster

RSC Polymeric and Self-Assembled Hydrogels London, UK

9-12.7.2012.

Enzyme responsive microgels

Kalafatovic, D.; Saunders, B.R.; Ulijn, R. V.

Poster

Macro Group UK International Conference on Polymer Synthesis and UKPCF International Conference on Polymer Colloids Warwick, UK

20-25.6. 2015.

MMP-9 responsive peptides for tumor associated formation of doxorubicin releasing nanofibres

Kalafatovic, D; Nobis, M; Anderson, K. I.; Ulijn, R. V.

Poster

American Peptide Symposium Orlando, Florida, USA

01.09.2020. - 31.08.2024.

Short catalytic peptides with intrinsic esterase activity

Patrizia Janković Doctorate

Medicinska kemija

Sveučilište u Rijeci, Fakultet biotehnologije i razvoja lijekova

Date of degree: 01.07.2024.

2020. - 2024.

Binary classification of peptides using deep neural networks and transfer learning

Erik Otović Doctorate

Računarstvo

Sveučilište u Rijeci, Tehnički fakultet

Date of degree: 09.12.2024.

2024. -

Journal of Peptide Science

https://onlinelibrary.wiley.com/page/journal/10991387/homepage/editorialboard.html

2022.

Pharmaceutics, Special Issue on “Application of Peptide-Drug-Conjugates in the Treatment of Cancer and Microbial Infections”

https://www.mdpi.com/journal/pharmaceutics/special_issues/peptide_drug

2022.

MDPI: Symmetry

2022.

Briefings in Bioinformatics

2022.

ERC Starting grant (remote evaluator)

2021.

MDPI: Biomolecules, Antibiotics, International Journal of Molecular Sciences (IJMS)

2021.

Nano Letters

2021.

ACS Applied Materials & Interfaces

2022. - 2025.

Inženjerstvo okoliša- stud. pilot-program projektno orijentirane interdisciplinarne mikrokvalifikacije

Suradnik

Sveučilište u Rijeci

2022. - 2023.

Design of peptide assemblies with emerging functions

Voditelj

Sveučilište u Rijeci 23690.41 HRK

2021. - 2025.

Projekt razvoja karijera mladih istraživača-izobrazba novih doktora znanosti (DOK-2021-02-3496)

Mentor doktrorandu

HRZZ- DOK

01.11.2020. - 31.10.2021.

SARS-CoV-2 Supramolecular Mimetics for Discovery of Peptides That Induce Viral Entrapment

Voditelj

Sveučilište u Rijeci 50.000 HRK

18.03.2020. - 18.03.2023.

Računalni model strujanja, poplavljivanja i širenja onečišćenja u rijekama i obalnim morskim područjima

Član tima

Europski fond za regionalni razvoj (EFRR)

https://strukturnifondovi.hr/natjecaji/shema-za-jacanje-primijenjenih-istrazivanja-za-mjere-prilagodbe-klimatskih-promjena/

01.02.2020. - 31.01.2025.

Dizajn katalitički aktivnih peptida i peptidnih nanostruktura

Voditelj

HRZZ (UIP-2019-04-7999) 1,999,600.00

2020. - 2023.

Applying Machine Learning for the Discovery of Peptides with Catalytic Activity

Suradnik

Sveučilište u Rijeci (UNIRI-Plus)

2020. - 2021.

Strateška internacionalizacija diplomskih studija matematike i biotehnologije (Optilife)

Suradnik

EU Struktrurni projekt

08.03.2016. - 31.03.2018.

Marie-Curie COFUND (IRB Barcelona)

Post-doc (suradnik)

EU commission