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, ...
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: ...
A pA-Tn5 probe (multicoloured) binds an antibody (white), which binds a transcription factor binding domain (green) on DNA (blue) within 2 nucleosomes. The binding of proteins to DNA is crucial for ...
Northwestern University and University of California, Los Angeles (UCLA) scientists have developed a new process-based framework that provides a more accurate and dynamic approach to landslide ...
Method references are a shorthand way to write lambda expressions that call a single method. Rather than implementing a method in a functional interface, a method reference simply points to an ...
Transcription factors (TFs) play a crucial role in the regulation of gene expression and the structural organization of chromatin. They interact with proteins, RNA, and chromatin DNA to exert their ...
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 ...
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 ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results