Accurate annotation of Nucleotide-Binding Site (NBS) genes is critical for genomic research and clinical diagnostics, yet it is significantly challenged by the presence of pseudogenes—dysfunctional relatives that share high sequence...
Antimicrobial resistance (AMR) poses a catastrophic threat to global health, projected to cause 10 million deaths annually by 2050.
Accurately predicting the structure of non-canonical nucleotide-binding site (NBS) domain architectures is a critical challenge in structural biology with profound implications for understanding immune signaling and drug discovery.
This article addresses the critical challenge of fragmented resistance gene (R-gene) annotations within genomic clusters, a significant bottleneck in genomic research and drug development.
This article provides a comprehensive guide for researchers and drug development professionals tackling the challenge of lowly expressed genes in transcriptomic studies.
Accurately annotating Resistance (R) genes in plant genomes is a critical but formidable challenge for researchers in genomics and drug development.
This article provides a comprehensive overview of Weighted Gene Co-expression Network Analysis (WGCNA) as a powerful systems biology approach for discovering resistance genes in biomedical and agricultural research.
Accurately predicting protein function is a central challenge in biology, with direct implications for understanding disease mechanisms and drug discovery.
The expansion of genomic newborn screening (gNBS) is critically limited by the challenge of low sequence homology, which impedes the identification of novel disease-associated genes using conventional bioinformatic tools.
This article provides a comprehensive framework for researchers and scientists investigating Nucleotide-Binding Site (NBS) gene expression during pathogen challenge.