10 papers · ranked by Valyu relevance
Minha Park, Shinwoo Kim, Seokhyun Moon, Hyeongwoo Kim + 2 more
Co-folding models accurately predict biomolecular complexes, but how their internal representations support joint structure prediction remains unclear. We analyze the Boltz-1 trunk by decomposing its pair representation into intra-chain and inter-chain blocks and applying ablation, layer-wise representation geometry…
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…
Nina Lüthi, Francisco J. Fritz, Björn Fricke, Jan Malte Oeschger + 4 more
Post-mortem Diffusion Magnetic Resonance Imaging (dMRI) findings on fixation-related changes in diffusion tensor imaging (DTI) parameters remain inconsistent, partly due to lower diffusion weighting and sparse early-fixation sampling. This study investigated how post-mortem tissue condition, fixation progression, and…
Arthur Zwaenepoel
We consider polygenic divergent selection in a mainland-island model, where our aim is to understand how patterns of genetic variation along the genome reflect the genetic architecture of postzygotic reproductive isolation. We derive a new expression for the effective migration rate (m_e_) at both neutral and…
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…
Seonghwan Seo, Hyeongwoo Kim, Seokhyun Moon, Woo Youn Kim
Protein language models (PLMs) trained on evolutionary sequences learn representations that encode protein structure, enabling direct structure prediction without multiple-sequence alignments (MSAs). Here we present the Atlas model family, an open and trainable system spanning protein language modeling, monomer…
Yao Shen, Ziyang Yu, Qinfeng Zhu, Zhiyong Zhao + 7 more
Bridging the gap between macroscopic neuroimaging and microscopic histology remains a challenge in neuroscience. Here, we present a technical feasibility study of diffusion MR microscopy (dMRM) in the ex vivo human hippocampus using a 14.1 T ultrahigh-field MRI system. Mid-hippocampal blocks from control and…
Andreas Carlsson, Ulf Olsson, Sara Linse
In Alzheimer’s disease (AD), the aggregation of amyloid β (Aβ) peptides has been linked to disease pathology. Once aggregates have formed, existing fibrils catalyze the formation of new fibrils in a runaway process associated with neuro degeneration. One component of the cellular defense system against amyloid…
Bach Tran Nguyen, Aurélie Barrail-Tran, Moreno Ursino, Sébastien Goutal + 6 more
First-in-human studies require dose extrapolation from pharmacokinetic animal studies combined with safety assessments. Subtherapeutic doses of radiolabelled drugs can be administered in preclinical and early clinical development to gain a dynamic pharmacokinetic understanding, potentially informing…
Eliezer Masliah
How transient neural representations become integrated and stable enough to function as internal neural models remains incompletely understood. Grounded in efficient coding, Bayesian and predictive frameworks, recurrent and attractor dynamics, neural state-space models, and systems neuroscience, the Principle of…