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5 papers published across 0 labs.
The tool's attribution independently recovers the known role of backbone N-methylation in improving passive membrane diffusion, consistent with established chemistry, and is positioned as a platform for interactive, explainability-driven molecular design.
AlphaFold3 falters precisely when mutations matter most, exhibiting a steep drop in structural prediction accuracy as the magnitude of mutation-induced deformation increases.
A hybrid approach that draws on the stability and generation quality of denoising diffusion models, which yields a stable training process and generates microstructures of varying complexity with minimal slice artefacts and close agreement with ground-truth phase fractions and structural descriptors.
TorchCraft is presented, a unified binder-design framework that optimizes sequence logits through a frozen all-atom predictor and extends predictor inversion to multiple binder formats and molecular contexts, providing a common framework for reusing all-atom structural priors in design.
This work highlights that diagnosing and factually augmenting data to long-tail deficits is essential for robust scientific retrieval, and presents REPAIR, a self-evolving data augmentation framework for scientific dense retrievers.
