9 papers · ranked by Valyu relevance
Odin Zhang, Jiaqi Wang, Tuscan Rock Thompson, Ziyi You + 3 more
Biomolecular interactions, including protein–protein interactions, protein–nucleic acid recognition, and protein–small molecule binding, underlie a wide range of biological processes and therapeutic mechanisms. Although recent de novo design methods can generate candidate binders for diverse molecular targets…
Namasi G Sankar, Georgios Miliotis, Simon Caton
Genome assembly is important in infectious disease surveillance, antimicrobial resistance monitoring, and cancer genomics. The task of reconstructing full genomic sequences from fragmented reads, can be framed as a large scale combinatorial optimisation problem. Recent advances in quantum computing have introduced new…
Auttaphon Chachvalvutikul, Haifeng Qi, Renjun Liu, Bo Hou + 7 more
Photocatalytic oxygen reduction offers a sustainable, solar-driven route for the green synthesis of hydrogen peroxide (H2O2), however it suffers from limited efficiency due to rapid charge recombination and poor selectivity toward the two-electron reduction pathway. Herein, crystalline poly(heptazine) imide (PHI) and…
Peter F. Pelz, Tobias Meck
For nearly a century, the physical origin of metabolic scaling has remained unresolved: metabolism is proportional to body mass in small organisms but follows Kleiber’s three-quarter-power law in larger animals. We derive both regimes from the Metabolic Holon (MH), a locally optimized capillary–tissue oxygen-supply…
Mohamed Selmy, A. Abdulnabi, A. A. Ali, E. M. Saied + 1 more
Nanogrids have emerged as a crucial solution for contemporary residential power systems, providing a robust framework for integrating distributed energy resources (DERs), comprising solar photovoltaics (PVs), wind turbines (WTs), energy storage systems (ESSs), and diesel generators (DGs). However, the uncertainty of…
Charles de Kergariou, Helmut Hauser, David Correa
Advances in novel materials science enable structures to function as intelligent machines by embedding memory and learning capabilities directly into materials. Our work introduces a physical adaptive material motor unit neural network, leveraging a new generation of controllable actuators composed of wood- and carbon…
Lianne Gahan, Adélaïde Raguin, Partho Sakha De
Lignin’s complex and highly branched architecture plays a critical role in biomass utilisation. Yet, unravelling the intricate relation between lignin’s measurable structural features and the underlying biosynthesis dynamics remains a major challenge. This difficulty stems from the variability in monolignol and bond…
Ruben M van de Wijdeven, Naomi S de Ruijter, Femke C C Kremers, Esmee Venema + 10 more
In recent years, a variety of tools have been developed to aid paramedics in prehospital transportation decision-making for patients with acute ischaemic stroke. These tools were initially developed to rapidly identify patients with EVT-eligible stroke in order to allow direct transportation to an intervention centre…
Justina Stark, Christophe Godin
Biological transport networks range from tree-like to highly reticulated architectures, which have been proposed to reflect different balances between viscous dissipation and metabolic cost. This balance cannot currently be inferred from structure: available descriptors either discard edge width entirely or preserve it…