DynamicDTA: Drug-Target Binding Affinity Prediction Using Dynamic Descriptors and Graph Representation

Kavli Affiliate: Dan Luo | First 5 Authors: Dan Luo, Jinyu Zhou, Le Xu, Sisi Yuan, Xuan Lin | Summary: Predicting drug-target binding affinity (DTA) is essential for identifying potential therapeutic candidates in drug discovery. However, most existing models rely heavily on static protein structures, often overlooking the dynamic nature of proteins, which is crucial […]


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Measurements of molecular size and shape on a chip

Kavli Affiliate: Justin Benesch | Summary:Size and shape are critical discriminators between molecular species and states. We describe a micro-chip based high-throughput imaging approach offering rapid and precise determination of molecular properties under native solution conditions. Our method detects differences in molecular weight across at least three orders of magnitude, and down to two carbon […]


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An enhanced Eco1 retron editor enables precision genome engineering in human cells without double-strand breaks

Kavli Affiliate: Charles M. Rice | Authors: Matthew A Cattle, Lauren C Aguado, Samantha Sze, Dylan Yueyang Wang, Thales Papagiannakopoulos, Susan Smith, Charles M Rice, William Matthew Schneider and John T Poirier | Summary: Retrons are a retroelement class found in diverse prokaryotes that can be adapted to augment CRISPR-Cas9 genome engineering technology to efficiently […]


Continue.. An enhanced Eco1 retron editor enables precision genome engineering in human cells without double-strand breaks

Dark Matter Velocity Distributions for Direct Detection: Astrophysical Uncertainties are Smaller Than They Appear

Kavli Affiliate: Lina Necib | Summary:The sensitivity of direct detection experiments depends on the phase-space distribution of dark matter near the Sun, which can be modeled theoretically using cosmological hydrodynamical simulations of Milky Way-like galaxies. However, capturing the halo-to-halo variation in the local dark matter speeds — a necessary step for quantifying the astrophysical uncertainties […]


Continue.. Dark Matter Velocity Distributions for Direct Detection: Astrophysical Uncertainties are Smaller Than They Appear

Dark Matter Velocity Distributions for Direct Detection: Astrophysical Uncertainties are Smaller Than They Appear

Kavli Affiliate: Lina Necib | First 5 Authors: Dylan Folsom, Carlos Blanco, Mariangela Lisanti, Lina Necib, Mark Vogelsberger | Summary: The sensitivity of direct detection experiments depends on the phase-space distribution of dark matter near the Sun, which can be modeled theoretically using cosmological hydrodynamical simulations of Milky Way-like galaxies. However, capturing the halo-to-halo variation […]


Continue.. Dark Matter Velocity Distributions for Direct Detection: Astrophysical Uncertainties are Smaller Than They Appear

ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation

Kavli Affiliate: Feng Yuan | First 5 Authors: Feng Yuan, Feng Yuan, , , | Summary: Accurate multi-modal medical image translation requires ha-rmonizing global anatomical semantics and local structural fidelity, a challenge complicated by intermodality information loss and structural distortion. We propose ABS-Mamba, a novel architecture integrating the Segment Anything Model 2 (SAM2) for organ-aware […]


Continue.. ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation

ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation

Kavli Affiliate: Feng Yuan | First 5 Authors: Feng Yuan, Yifan Gao, Wenbin Wu, Keqing Wu, Xiaotong Guo | Summary: Accurate multi-modal medical image translation requires ha-rmonizing global anatomical semantics and local structural fidelity, a challenge complicated by intermodality information loss and structural distortion. We propose ABS-Mamba, a novel architecture integrating the Segment Anything Model […]


Continue.. ABS-Mamba: SAM2-Driven Bidirectional Spiral Mamba Network for Medical Image Translation