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Center for Artificial Intelligence and Cybersecurity – AIRI

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Laboratory for Drug Design

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

28.04.2022

Discovery of phosphotyrosine-binding oligopeptides with supramolecular target selectivity

15.01.2022

Exploiting Peptide Self-Assembly for the Development of Minimalistic Viral Mimetics

31.07.2021

Bottom-Up Design Approach for OBOC Peptide Libraries

28.07.2020

Design of short catalytic peptides and peptide assemblies (DeShPet)

01.02.2020

Institution: University of Rijeka, Department of Biotechnology

Applying Machine Learning for the Discovery of Peptides with Catalytic Activity

01.01.2020

Institution: Faculty of Engineering, University of Rijeka Objective: The aim of this project proposal is to build a catalytic activity prediction model for peptides that would drive a smart exploration of huge chemical search space.

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

28.03.2019

Random peptide libraries that cover large search spaces are often used for the discovery of new binders, even when the target is unknown. To ensure an accurate population representation, there is a tendency to use large libraries. However, parameters such as the synthesis scale, the number of library members, the sequence deconvolution and peptide structure […]

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

28.01.2019

Overexpression and activation of matrix metalloproteinase-9 (MMP-9) is associated with multiple diseases and can serve as a stimulus to activate nanomaterials for sensing and controlled release. In order to achieve autonomous therapeutics with improved space-time targeting capabilities, several features need to be considered beyond the introduction of an enzyme-cleavable linker into a nanostructure. We introduce […]

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

01.02.2018

For many patients with breast cancer, symptomatic bone metastases appear after years of latency. How micrometastatic lesions remain dormant and undetectable before initiating colonization is unclear. Here, we describe a mechanism involved in bone metastatic latency of oestrogen receptor-positive (ER+) breast cancer. Using an in vivo genome-wide short hairpin RNA screening, we identified the kinase […]

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

01.11.2017

Efficient intracellular drug delivery and target specificity are often hampered by the presence of biological barriers. Thus, compounds that efficiently cross cell membranes are the key to improving the therapeutic value and on-target specificity of non-permeable drugs. The discovery of cell-penetrating peptides (CPPs) and the early design approaches through mimicking the natural penetration domains used […]

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Latest Projects

Advanced Data Analysis Using Digital Signal Processing and Machine Learning Techniques

Compound Flooding in Coastal Rivers in Present and Future Climate

Data Processing on Graphs

North Adriatic Hydrogen Valley

Data Governance and Intellectual Property Governance in Common European Data Spaces – DGIP-CEDS

Latest Research Papers

Forecasting the Trajectory of Personal Watercrafts Using Models Based on Recurrent Neural Networks

A System for Real-Time Detection of Abandoned Luggage

Enhancing Biophysical Muscle Fatigue Model in the Dynamic Context of Soccer

Pravna tehnologija (Legal Tech) i njezina (ne)prikladnost za zamjenu pravne struke

Regression-Based Machine Learning Approaches for Estimating Discharge from Water Levels in Microtidal Rivers

Latest News

Arian Skoki defended his doctoral thesis “Data-Driven Assessment of Player Performance and Recovery in Soccer”

Anna Maria Mihel defended her PhD dissertation topic

Prof. dr. sc. Renato Filjar participated at the meeting of the 31st National Space-Based Positioning, Navigation and Timing US Advisory Board

Presentation of the NPOO project Peoplet

Ana Vranković Lacković defended her doctoral thesis

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Center for Artificial Intelligence and Cybersecurity
  • jlerga@airi.uniri.hr
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University of Rijeka

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