Thonzonium bromide suppresses malignant phenotypes of pleural mesothelioma cells in association with reduced KAP1 Ser473 phosphorylation
Dan Song, Jintao He, Qianwen Du, Shaoyang Huang et autres
cn, hk (code pays fourni par la source)
Informations fournies par OpenAlex. Research Africa ne déduit ni nationalité, ni poste, ni coordonnées personnelles.
Dan Song, Jintao He, Qianwen Du, Shaoyang Huang et autres
cn, hk (code pays fourni par la source)
Liming Wu, Rui Jiao, Q Li, Mingze Li et autres
The design of materials with tailored properties is crucial for technological progress. However, most deep generative models focus exclusively on perfectly ordered crystals, neglecting the important class of disordered materials. To address this gap, we introduce DMFlow, a generative framework specifically designed …
cn (code pays fourni par la source)
Songyou Li, Mingze Li, Qianpu Liu, Jiacheng Cen et autres
Crystals are cornerstone materials for semiconductors and renewable energy, yet their discovery is hindered by the prohibitive cost of Density Functional Theory (DFT). While geometric graph neural networks have advanced Crystal Structure Prediction (CSP) and energy estimation, existing methods treat these tasks …
cn (code pays fourni par la source)
Erçan E. Kuruoğlu, Liang Wang, Tingyang Xu, Wenbing Huang et autres
Graph Transformers (GTs) have demonstrated a strong capability in modeling graph structures by addressing the intrinsic limitations of graph neural networks (GNNs), such as over-smoothing and over-squashing. Recent studies have proposed diverse architectures, enhanced explainability, and practical applications for Graph Transformers. In …
hk, cn, it, ky (code pays fourni par la source)
Li‐Ming Wu, Wenbing Huang, Liwei Liu, Yipeng Zhou et autres
Abstract Predicting crystal structures from chemical compositions is a fundamental challenge in materials discovery, complicated by complex 3D geometries that distinguish it from fields like protein folding. Here, we present Diffusion-based crystAl Omni (DAO), a pretrain-finetune framework for crystal structure prediction integrating …
cn, us (code pays fourni par la source)
Xiangzhe Kong, Junwei Chen, Ziting Zhang, Gaodeng Li et autres
ABSTRACT Biomolecular interactions lie at the core of cellular life, spanning diverse molecular modalities from small molecules to nucleic acids and proteins. Nevertheless, design strategies remain separated despite shared physicochemical principles of molecular recognition. Here we present AnewOmni, a unified generative framework …
cn, us, ch, at (code pays fourni par la source)
Zongzhao Li, Xiangzhe Kong, Jiahui Su, Zeyu Ma et autres
cn (code pays fourni par la source)
Xiangzhe Kong, Rui Jiao, Haowei Lin, Ruihan Guo et autres
cn, us (code pays fourni par la source)
Xiangzhe Kong, Rui Jiao, Haowei Lin, Ruihan Guo et autres
cn, us (code pays fourni par la source)
cn (code pays fourni par la source)
Xuegang Li, Yuanyue Pu, Neng Eva Wu, Huajun Cao et autres
cn (code pays fourni par la source)
Q Li, Rui Jiao, Liming Wu, Wenbing Huang et autres
Accurate crystal structure determination is critical across all scientific disciplines involving crystalline materials. However, solving and refining crystal structures from powder X-ray diffraction (PXRD) data is traditionally a labor-intensive process that demands substantial expertise. Here we introduce PXRDGen, an end-to-end neural network …
cz, cn, us (code pays fourni par la source)
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