Results 181 to 190 of about 137,698 (259)

Artificial Intelligence Powers Protein Functional Annotation

open access: yesAdvanced Science, EarlyView.
This review systematically summarizes how artificial intelligence advances protein functional annotation. It organizes existing methods into six unified modeling paradigms and analyzes their applications in Gene Ontology and Enzyme Commission prediction.
Wenkang Wang   +4 more
wiley   +1 more source

Cell Cycle‐Specific Regulation of Centrosome Clustering Dynamics in Cancer Cells by the Multifunctional Kinesin HSET

open access: yesAdvanced Science, EarlyView.
CDK5RAP2 associates with the kinesin HSET and forms co‐condensates. HSET motors drive the directional transport of CDK5RAP2 condensates toward microtubule minus ends. During mitosis, HSET self‐assembly further stabilizes clustered centrosomes, thereby enabling pseudo‐bipolar spindle formation in cancer cells with supernumerary centrosomes. Upon mitotic
Po‐Pang Chen   +11 more
wiley   +1 more source

Artificial Intelligence Predictions in Huge Chemical Spaces: Chiroptical Properties of [6]‐helicene Family

open access: yesAdvanced Science, EarlyView.
This study shows that a local, data‐driven AI model can accurately predict diverse optical and chiroptical properties of [6]helicenes using information from close structural neighbours. Combined with genetic algorithms, it enables inverse design for tailored properties, establishing practical structure–property rules for efficient molecular discovery ...
Rafael G. Uceda   +8 more
wiley   +1 more source

Distinct Biotypes of Visual Perception in Major Depressive Disorder

open access: yesAdvanced Science, EarlyView.
In a discover dataset (272 acute MDD patients), this work identifies a novel depression biotype characterized by impaired visual motion perception, using machine learning clustering. An independent dataset confirms the robustness of this biotype through cross‐validation and demonstrates its generalizability.
Zhuoran Cai   +13 more
wiley   +1 more source

Investigating Phase Separation in Genome Folding via Multiscale Computational Modeling

open access: yesAdvanced Science, EarlyView.
Phase separation is emerging as a multiscale organizing principle of genome folding across scales, from nucleosomes and transcriptional condensates to chromatin domains and nuclear compartments. By integrating physics‐based simulations with data‐driven inference, computational modeling now links molecular interactions to nuclear architecture and points
Jiahu Tang   +3 more
wiley   +1 more source

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