A fundamental challenge to recent high-performance claims in photoelectrode research reveals that cubic materials cannot exhibit the transport anisotropy previously attributed to their success. This finding forces a reexamination of what actually drives performance in copper oxide solar fuel systems
Researchers have identified a previously unknown wild ancestor in modern sugarcane’s genetic lineage through advanced DNA analysis. The discovery, emerging from the study of nearly 400 sugarcane samples, could lead to significant crop improvements. Scientists suggest locating pure specimens of this mystery ancestor might enable breeding of more resilient sugarcane varieties.
In a breakthrough that could reshape our understanding of sugarcane’s evolutionary journey, researchers have uncovered evidence of a mysterious wild ancestor hidden within modern crop varieties. The findings, emerging from sophisticated genetic analysis, suggest untapped potential for developing more resilient sugarcane strains.
The Silent Crisis Beneath the Waves As ocean temperatures reach record highs, marine scientists are racing to understand which species…
Scientists have created a deep learning network capable of predicting protein interactions throughout the human proteome. The breakthrough addresses longstanding computational challenges that previously limited comprehensive mapping of human protein complexes. This advancement could accelerate drug discovery and disease research.
Researchers have developed a deep learning system that reportedly overcomes previous limitations in predicting protein-protein interactions across the entire human proteome, according to recent reports in Nature Chemical Biology. While existing methods have successfully identified interactions in simpler organisms like bacteria and yeast, sources indicate the human proteome’s complexity has until now resisted comprehensive computational analysis.
