Results 21 to 30 of about 16,260 (162)

Targeting the Membrane‐Embedded Rhomboid Protease GlpG: A Multimodal Strategy for Inhibitor Discovery and Mechanistic Insight

Angewandte Chemie, EarlyView.
Created in BioRender. Bohg, C. (2026) https://BioRender.Com/ vi9hi4f. Rhomboid proteases are a mechanistically unique and evolutionarily conserved protein family. Despite their pharmacological relevance, the development of selective inhibitors has lagged behind that of soluble proteases.
Claudia Bohg, Yurii Dubanych, Spyridon Kosteletos, Taoran Xiao, Martin Neuenschwander, Tillmann Utesch, Michael Lisurek, Carl Öster, Andreas Oder, Carola Seyffarth, Kathrin Bach, Denise‐Liù Gracias Leone, František Filandr, Marc Wegert, Sascha Lange, Henry Sawczyc, Jens Peter von Kries, Christian P. R. Hackenberger, Edgar Specker, Han Sun, Kvido Stříšovský, Adam Lange   +21 more
wiley   +2 more sources

On hit-and-miss hyperspace topologies [PDF]

, 1993
summary:The Vietoris topology and Fell topologies on the closed subsets of a Hausdorff uniform space are prototypes for hit-and-miss hyperspace topologies, having as a subbase all closed sets that hit a variable open set, plus all closed sets that miss (=
Beer, Gerald, Tamaki, Robert K.
core   +1 more source

Mammalian Proteome Profiling Reveals Readers and Antireaders of Strand‐Symmetric and ‐Asymmetric 5‐Hydroxymethylcytosine‐Modifications in DNA

Advanced Science, EarlyView.
We investigate by proteomics studies how strand‐symmetric and ‐asymmetric cytosine 5‐modifications in DNA are selectively recognized by the nuclear proteome. Using promoter probes with defined modification patterns, we identify tissue‐specific reader proteinsincluding MYC, MAX, and RFX5that discriminate 5‐hydroxymethylcytosine symmetry and sequence ...
Lena Engelhard, Zeyneb Vildan Cakil, Marlon S. Zambrano‐Mila, Simone Eppmann, Tye Gonzalez, Rasmus Linser, Petra Janning, Sidney Becker, Daniel Summerer   +8 more
wiley   +1 more source

Search and Placement in Tiered Cache Networks

, 2016
Content distribution networks have been extremely successful in today's Internet. Despite their success, there are still a number of scalability and performance challenges that motivate clean slate solutions for content dissemination, such as content ...
Domingues, Guilherme, Leão, Rosa M. M., Menasché, Daniel S., Silva, Edmundo de Souza e, Towsley, Don   +4 more
core   +1 more source

CLinNET: An Interpretable and Uncertainty‐Aware Deep Learning Framework for Multi‐Modal Clinical Genomics

Advanced Science, EarlyView.
Identifying disease‐causing genes in neurocognitive disorders remains challenging due to variants of uncertain significance. CLinNET employs dual‐branch neural networks integrating Reactome pathways and Gene Ontology terms to provide pathway‐level interpretability of genomic alterations.
Ivan Bakhshayeshi, Mohammad Mahdi Hosseini, Ahmadreza Argha, Roxana Zahedi, Nigel H. Lovell, Hamid Alinejad‐Rokny   +5 more
wiley   +1 more source

Modern and Ancient Genomes Reveal Neolithic Paternal Expansions of Millet and Rice Farmers and Demic Diffusion from China into Mainland Southeast Asia

Advanced Science, EarlyView.
This study clarifies the genetic patterns of paternal lineages across East Asia and Mainland Southeast Asia. Han populations are relatively homogeneous, whereas southern ethnolinguistic minorities display regional structures. Shared Y‐chromosome lineages indicate Neolithic expansions and extensive north‐south gene flow, supporting demic diffusion ...
Yunhui Liu, Lintao Luo, Yutong Jiang, Minzhu Zhao, Ting Yang, Zhiyong Wang, Lisiteng Luo, Yuhang Feng, Zihao Zhu, Yuzhu Wang, Limei Zhang, Bofeng Zhu, Chao Liu, Renkuan Tang, Mengge Wang, Guanglin He   +15 more
wiley   +1 more source

Automatic Loop Kernel Analysis and Performance Modeling With Kerncraft

, 2015
Analytic performance models are essential for understanding the performance characteristics of loop kernels, which consume a major part of CPU cycles in computational science.
Eitzinger, Jan, Hager, Georg, Hammer, Julian, Wellein, Gerhard   +3 more
core   +1 more source

Generating Dynamic Structures Through Physics‐Based Sampling of Predicted Inter‐Residue Geometries

Advanced Science, EarlyView.
While static structure prediction has been revolutionized, modeling protein dynamics remains elusive. trRosettaX2‐Dynamics is presented to address this challenge. This framework leverages a Transformer‐based network to predict inter‐residue geometric constraints, guiding conformation generation via physics‐based iterative sampling. The resulting method
Chenxiao Xiang, Wenkai Wang, Zhenling Peng, Jianyi Yang   +3 more
wiley   +1 more source

Topological Laminations on Surfaces

, 2018
We present and prove a topological characterization of geodesic laminations on hyperbolic surfaces of finite type.Comment: 26 pages, 13 ...
Lopez, Luis-Miguel
core   +1 more source

Accelerated Screening of Halide Double Perovskites via Hybrid Density Functional Theory and Machine Learning for Thermoelectric Energy Conversion

Advanced Energy and Sustainability Research, EarlyView.
This study integrates hybrid density functional theory, Boltzmann transport theory, and machine learning to accelerate the discovery of lead‐free halide double perovskites for thermoelectric energy conversion. By screening 102 compounds, the authors identify high‐performing candidates such as Rb2GeI6 and Cs2SnBr6, offering a sustainable pathway toward ...
Souraya Goumri‐Said, Ghouti Abdellaoui, Mohammed Benali Kanoun   +2 more
wiley   +1 more source