The language of proteins
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Oct-2026 07:16 ET (21-Oct-2026 11:16 GMT/UTC)
Researchers from the Technion and Tel Aviv University have developed BetaDescribe, an AI system that translates protein sequences into natural-language descriptions of their functions and properties. Reported in PNAS, the system uses a generative AI approach with built-in verification mechanisms to infer protein function even when proteins are not closely related to previously characterized ones. By helping interpret the vast number of uncharacterized proteins in nature, BetaDescribe could accelerate biological research, drug discovery, and advances in biotechnology and agriculture.
Degraded soils and the burgeoning challenge of agricultural waste pose significant hurdles to global food security. A recent study, published in Carbon Research, unveils a promising solution: using solar radiation to enhance hydrochar, a carbon-rich material derived from biomass, to create a more effective soil amendment. This innovative approach offers a low-energy pathway to transform materials like pig manure and mandarin peels into powerful tools for soil remediation.
The research team prepared hydrochars under varying hydrothermal carbonization temperatures (180 °C and 260 °C), then subjected them to simulated solar aging for 200 hours, including periodic wetting. Comprehensive characterization using advanced techniques such as FTIR, XPS, 3D-EEM, and ESI-FT-ICR MS was employed to track changes in the hydrochar's physicochemical properties and the composition of its dissolved organic matter (DOM). Soil microcosm experiments further evaluated the impact of these modified hydrochars on paddy soil for 45 days, assessing changes in soil properties and microbial communities.
An international collaboration between Tokyo University of Agriculture and Technology and the University of Hawaiʻi at Mānoa has successfully grown premium Japanese rice on Kauaʻi using water-saving upland methods. The rice matured one month faster than in Japan while achieving comparable yields and producing larger, higher-quality grains. This research demonstrates the potential to reestablish local rice production, enhance food security, and offer a sustainable farming model for water-scarce island regions.
Starting from syringic acid, a natural phenolic acid with favorable safety and biodegradability features, Prof. Runjiang Song's team at the State Key Laboratory of Green Pesticide, Guizhou University, designed a series of derivatives by combining the syringic acid scaffold with an allicin-inspired disulfide unit and a 1,3,4-oxadiazole moiety. Among 34 derivatives, compound C31 emerged as the most potent anti-Xoo molecule, with an EC50 of 0.86 μg/mL. In rice pot experiments, C31 achieved 59.37% control efficacy against bacterial leaf blight, outperforming syringic acid and the commercial reference thiodiazole copper in this study.
A study examining air quality and respiratory health in communities surrounding the Salton Sea in Southern California shows how environmental conditions, poor housing quality, and structural inequities combine to place children at greater risk for respiratory illness.