Publications de Cem Tekin | EPFL Graph Search

Interface flexibility controls the nucleation and growth of supramolecular networks

Georg Fantner, Maartje Martina Cornelia Bastings, Navid Asmari Saadabad, Cem Tekin, Veronika Cencen, Vincenzo Caroprese

Supramolecular networks are abundantly present in nature and, like crystalline materials, often develop from an initial nucleation site, followed by growth based on directional interactions between components. Traditionally, the binding strength and direct ...

2025

Evolution of multivalent supramolecular assemblies of aptamers with target-defined spatial organization

Maartje Martina Cornelia Bastings, Yoan Désiré Duhoo, Cem Tekin, Vincenzo Caroprese

Rapid identification of neutralizing molecules against new and mutating viruses is key to efficiently combating biorisk. Current binder identification techniques use a monovalent library of potential binders. Interestingly, proteins on pathogens are often ...

2025

Dynamic Surface Interactions Enable the Self-Assembly of Perfect Supramolecular Crystals

Maartje Martina Cornelia Bastings, Cem Tekin, Vincenzo Caroprese

Supramolecular crystals arise from noncovalent interactions between macromonomers and allow for the engineering of dynamic functional materials. For two-dimensional (2D) crystals, the substrate surface can induce the formation of new polymorphs not availab ...

2024

Exploring the self-assembly of supramolecular crystals with DNA tiles

Cem Tekin

The self-assembly of molecular components into organized nanomaterials is a fundamental process observed in nature, crucial for various biological functions. Gaining a deepened understanding of the underlying self-assembly principles provides valuable insi ...

EPFL2024

High-Speed Atomic Force Microscopy Imaging of DNA Three-Point-Star Motif Self Assembly Using Photothermal Off-Resonance Tapping

Georg Fantner, Maartje Martina Cornelia Bastings, Bahareh Ghadiani, Marcos Penedo Garcia, Santiago Harald Andany, Cem Tekin, Mustafa Kangül, Veronika Cencen

High-speed atomic force microscopy (HS-AFM) is a popular molecular imaging technique for visualizing single-molecule biological processes in real-time due to its ability to image under physiological conditions in liquid environments. The photothermal off-r ...

Journal Of Visualized Experiments2024

Interplay of the mechanical and structural properties of DNA nanostructures determines their electrostatic interactions with lipid membranes

Maartje Martina Cornelia Bastings, Cem Tekin, Diana Kornelia Morzy, Vincenzo Caroprese

Nucleic acids and lipids function in close proximity in biological processes, as well as in nanoengineered constructs for therapeutic applications. As both molecules carry a rich charge profile, and frequently coexist in complex ionic solutions, the electr ...

ROYAL SOC CHEMISTRY2023

Probing the importance of valency and spatial organization of immune regulator PD-1 with DNA-based nanomaterials

Maartje Martina Cornelia Bastings, Kaltrina Paloja, Alice Comberlato, Jorieke Weiden, Cem Tekin

WILEY2021

Assessment of capillary phenomena in liquid composite molding

Véronique Michaud, Baris Çaglar, Feyza Karasu Kiliç, Cem Tekin

The interplay between capillary and viscous forces plays a significant role for optimal part quality in fiber-reinforced composites manufactured by Liquid Composite Molding (LCM); these are however difficult to analyze during flow. Two approaches are propo ...

2019

Big-Data Streaming Applications Scheduling Based on Staged Multi-armed Bandits

David Atienza Alonso, Karim Kanoun, Cem Tekin

Several techniques have been recently proposed to adapt Big-Data streaming applications to existing many core platforms. Among these techniques, online reinforcement learning methods have been proposed that learn how to adapt at run-time the throughput and ...

Institute of Electrical and Electronics Engineers2016

Big-Data Streaming Applications Scheduling Based on Staged Multi-Armed Bandits

David Atienza Alonso, Karim Kanoun, Cem Tekin

Several techniques have been recently proposed to adapt Big-Data streaming applications to existing many core platforms. Among these techniques, online reinforcement learning methods have been proposed that learn how to adapt at run-time the throughput and ...

Institute of Electrical and Electronics Engineers2016