Results 181 to 190 of about 2,482,864 (253)

Molecular Atlas of Key Food Odorants Reveals Mixture‐Level Organization and Enables Generative Aroma Design

open access: yesAdvanced Science, EarlyView.
KFO‐Atlas reveals how real‐world aromas are organized as structured mixtures rather than individual molecules. Building on these principles, KFO‐Gen, a generative AI framework, designs perceptually valid aroma formulations and reconstructs meat‐like aromas exclusively from plant‐derived odorants, providing a foundation for mixture‐level studies and AI ...
Jingzhi Zhang   +5 more
wiley   +1 more source

A General High‐Throughput Mucus Microrheology Platform for Quantitative and Scalable Mucus Phenotyping

open access: yesAdvanced Science, EarlyView.
High‐throughput Differential Dynamic Microscopy measures frequency‐resolved mechanical fingerprints from 3 to 10 μL$\umu{\rm L}$ mucus samples using only a few minutes of operator attention per sample. This automated analysis enables scalable mucus phenotyping for translational research by distinguishing mechanical heterogeneity among donors, disease ...
Feng Ling   +18 more
wiley   +1 more source

A Real‐Data‐Driven Framework for Evaluating Differential Transcript Usage Methods Across Long‐Read Bulk, Single‐Cell, and Spatial Transcriptomics

open access: yesAdvanced Science, EarlyView.
Grounded in real biological RNA‐seq data, the framework benchmarks ten differential transcript usage (DTU) methods across short‐read bulk, long‐read bulk, long‐read single‐cell, and long‐read spatial transcriptomics. By integrating reference transcript sets with ranked DTU results, the Transcript Set Enrichment Score (TSES) identifies data‐type ...
Chenxing Zhang   +6 more
wiley   +1 more source

Comparative Analysis of Algorithms for Extracting Frames from Unexplored Regions in Molecular Dynamics Simulations. [PDF]

open access: yesACS Omega
Nagare A   +7 more
europepmc   +1 more source

Predicting Enzyme Turnover Numbers and Enabling Rational Enzyme Evolution

open access: yesAdvanced Science, EarlyView.
MCKcat, a deep learning framework combining multi‐scale convolution and cross‐attention, accurately predicts enzyme turnover number (kcat) by fusing sequence and reaction representations. It couples with rational design in a two‐step strategy for Bacillus aryabhattai laccase engineering, achieving a 75% positive rate with synergistically enhanced ...
Fengya Ge   +6 more
wiley   +1 more source

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