In cheminformatics, where machine learning is transforming our understanding of how molecular properties are predicted and explained, a critical challenge has long remained: making these powerful but often "black box" models easier to interpret. Recently, researchers at the Australian National University developed a breakthrough solution: a "regional explanation" method that helps reveal how molecular structures drive their properties. This research was published June 3 in Intelligent Computing, a Science Partner Journal, in an article titled “Regional Explanations and Diverse Molecular Representations in Cheminformatics: A Comparative Study.”

Understanding how nutrients are synthesized and distributed during seedling development is key to optimizing crop performance.

Why do some peaches turn red in the flesh, while others remain pale—even under the same conditions? 

The dazzling colors of lily petals are powered by anthocyanins, but how these pigments respond to light has long remained a mystery. 

A comprehensive survey published May 23 in Intelligent Computing, a Science Partner Journal maps out the role of large language models in task planning, underscoring the growing influence of artificial intelligence in complex decision-making tasks.

Understanding how environmental signals regulate flowering is crucial for crop improvement.

Aroma volatiles are vital to fruit flavor and consumer preference, yet the genetic regulation of their biosynthesis remains unclear.

Controlling microrobots with extreme precision is vital in delicate surgical procedures, but traditional feedback systems are bulky and externally dependent.

In this study, an automated method for lumen, vessel wall, and plaque segmentation for quantitative assessment based on MR vessel wall images and a CNN model with different priors was developed and evaluated on many patients with ischemic stroke.

Almost five new cases of lung cancer are diagnosed every minute globally and one of them would be a non-smoker. Screening gap remains one of the critical challenges of lung cancer prevention as most of the current screening programs are offered to smokers. Genetic testing provides an alternative screening option to identify genetic mutations before symptoms appear, saving a time window for timely treatment.