Scientists at EPFL have developed PeSTo, an AI model that can predict, with high confidence, the binding interfaces of proteins when they bind other proteins, nucleic acids, lipids, ions, and small molecules. The model's ...
Researchers in Biomedical Engineering Professor Tal Danino's lab were brainstorming several years ago about how they could engineer and apply naturally-pattern-forming bacteria. There are many bacteria species, such as Proteus ...
Complex multicellular organisms can only emerge from fertilized eggs because embryonic development is biologically precisely regulated. Cellular communication through signaling pathways plays a crucial role in this context. ...
A new technique for detecting planetary craters that will allow scientists to accurately map the surfaces of planets using different types of data could be used in future space missions.
Researchers from the Swiss Institute of Bioinformatics, Lausanne in Switzerland, used a geometric deep-learning tool that generates "fingerprints" of protein surfaces to describe geometric and chemical features critical to ...
Crop yield can be maximized when the best genetic variety and most effective crop management practices are used for cultivation. Scientists have developed various machine learning models to predict the factors that produce ...
Single-cell RNA-sequencing (scRNA-seq) technologies offer the opportunity to understand regulatory mechanisms at single-cell resolution. Gene regulatory networks (GRNs) provide a crucial blueprint of regulatory mechanisms ...
In cereal crops, the number of new leaves each plant produces is used to study the periodic events that constitute the biological life cycle of the crop. The conventional method of determining leaf numbers involves manual ...
In crop-breeding, plant phenotyping is the detailed study of a plant's characteristic 'visible' or phenotypic features. It includes counting the number of plants generated by a crossing experiment and grading the features ...
Recent advances in artificial intelligence (AI), alongside drones and digital cameras, have greatly extended the frontiers of smart agriculture. One attractive use case for these technologies is precision agriculture. In ...
