192 citations · 721 across the 20 of their papers we have counts for
20 papers
Using recurrent neural networks to predict aspects of 3-D structure of folded copolymer sequences
R. G. Reilly, M. -T. Kechadi, Yu. A. Kuznetsov +2
The neural network techniques are developed for artificial sequences based on approximate models of proteins. We only encode the hydrophobicity of the amino acid side chains withou…
The Nature of Complexity in the Biology of the Engineered Nanoscale Using Categorization as a Tool for Intelligent Development
Kenneth A. Dawson
Throughout the evolution of biological species on Earth, cells and organs have developed many complex structures and processes to ensure their interactions with individual chemical…
Using single nanoparticle tracking obtained by nanophotonic force microscopy to simultaneously characterize nanoparticle size distribution and nanoparticle-surface interactions
Delyan R. Hristov, Dong Ye, Joao Medeiros de Araújo +6
Comprehensive characterization of nanomaterials for medical applications is a challenging and complex task due to the multitude of parameters which need to be taken into considerat…
Critical phenomena in heterogeneous k-core percolation
Davide Cellai, Aonghus Lawlor, Kenneth A. Dawson +1
-core percolation is a percolation model which gives a notion of network functionality and has many applications in network science. In analysing the resilience of a network und…
Understanding surface-adsorption of proteins: the Vroman effect
Pol Vilaseca, Kenneth A. Dawson, Giancarlo Franzese
It is now well accepted that cellular responses to materials in a biological medium reflect greatly the adsorbed biomolecular layer, rather than the material itself. Here, we study…
Tricritical point in heterogeneous k-core percolation
Davide Cellai, Aonghus Lawlor, Kenneth A. Dawson +1
k-core percolation is an extension of the concept of classical percolation and is particularly relevant to understand the resilience of complex networks under random damage. A new…