Abstract: Deep learning-based methods for drug target binding affinity (DTA) prediction are improving the efficien cy of drug screening, but some limitations persist in current methodologies. Notably, ...
ABSTRACT: Against the backdrop of the current complex and ever-changing global economic situation, how to achieve high-quality development has become a key issue facing enterprises specializing in new ...
The undersigned authors note, “This article is being retracted on the recommendation of the University of Kansas Medical Center Office of Research Integrity, following an investigation that found ...
GraalVM version: GraalVM CE 25+37.1 (build 25+37-jvmci-b01) JDK version: openjdk 25 2025-09-16 OS and OS Version: WSL Ubuntu 22.04.4 LTS Architecture: amd64 The output of java -Xinternalversion: ...
In this work, we benchmark the accuracy of the density-functional tight-binding (DFTB) method, namely the long-range corrected second-order (LC-DFTB2) and third-order (DFTB3) models, for predicting ...
ABSTRACT: The objective of this study is to analyze the impact of energy consumption and competitiveness on countries’ participation in global value chains (GVCs). The two-stage dynamic panel method ...
In a study published in Nature Methods, a research group developed a highly sensitive proteomics method called peptide-centric local stability assay (PELSA), which enables the simultaneous ...
To monitor inhibitory neural signals in brain tissue dynamically, researchers at the Institute of Process Engineering of the Chinese Academy of Sciences have developed a new method called ...
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