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Enhanced stereodivergent evolution of carboxylesterase for efficient kinetic resolution of near-symmetric esters through machine learning

Development of a high-throughput method to obtain a high-quality enantioselectivity datasetEnantiomeric excess (e.e.) is a commonly used parameter to gauge the enantioselectivity of given enzymes. However, when...

Interpretable GWAS by linking clinical phenotypes to quantifiable immune repertoire components

Genome-wide association of TCR repertoire unitsWe analyzed a cohort comprising both whole genome sequencing (WGS) and longitudinal peripheral blood RNA sequencing (RNA-seq) data (rfuQTL training set; Supplementary...

Benchmarking machine learning methods for synthetic lethality prediction in cancer

Benchmarking pipelineTo evaluate machine learning methods for predicting SL interactions, we selected 12 methods published in recent years, including three matrix factorization-based methods (SL2MF31, CMFW32, and GRSMF33)...

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Quantitative ultrasound parameters offer new tool for diagnosing lung disease

Researchers have established a suite of parameters that can be determined using ultrasound to quantitatively measure different physical characteristics of the lung. The researchers...

C-reactive protein (CRP) evaluation in human urine using optical sensor supported by machine learning

Shrivastava, A. K., Singh, H. V., Raizada, A. & Singh, S. K. C-reactive protein, inflammation and coronary heart disease. Egypt. Heart J. 67, 89–97...

Perseid meteor shower rains ‘shooting stars’ over Stonehenge in glorious astrophotography image

The Perseids, one of the year's most prolific meteor showers, peaked this week, raining dozens of "shooting stars" per hour through Earth's skies.Some lucky...

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