Results 281 to 290 of about 3,622,651 (382)

Biomolecular Interaction Prediction: The Era of AI

open access: yesAdvanced Science, EarlyView.
This review offers a thorough examination of recent progress in deep learning for predicting biomolecular interactions, including those involving proteins, nucleic acids, and small molecules. It covers data processing strategies, representative model architectures, and evaluation metrics, while highlighting current methodological limitations.
Haoping Wang, Xiangjie Meng, Yang Zhang
wiley   +1 more source

Differential expression analysis with inmoose, the integrated multi-omic open-source environment in Python. [PDF]

open access: yesBMC Bioinformatics
Colange M   +5 more
europepmc   +1 more source

AN EVALUATION OF A VISUAL QUERY LANGUAGE FOR INFORMATION SYSTEMS

open access: hybrid, 2006
Haifa Elsidani Elariss   +2 more
openalex   +1 more source

Interpretation of RNA Universe and Coding Potential Using IntRNA

open access: yesAdvanced Science, EarlyView.
This study constructs a multi‐channel deep learning framework IntRNA to interpret RNA universe and coding potential. IntRNA consistently performed the best among existing methods in various benchmarks. Moreover, IntRNA’s interpretability is also validated by real‐world analysis, which found some features indicating long‐distance contact between ...
Yunxia Wang   +8 more
wiley   +1 more source

From data silos to insights: the PRINCE multi-agent knowledge engine for preclinical drug development. [PDF]

open access: yesFront Artif Intell
Vieira-Vieira CH   +5 more
europepmc   +1 more source

Characterization and Reporting Protocols for Structural Power Composites: A Perspective

open access: yesAdvanced Energy Materials, EarlyView.
Here, the issues for testing and reporting on structural power composites are described: multifunctional materials that can carry loads while providing electrical energy. As well as proposing best practice, the development of a “universal coupon” is recommended for studying these materials and any interactions that occur between the two functions ...
Emile S. Greenhalgh   +13 more
wiley   +1 more source

Enhancing Solid Oxide Fuel Cells Development through Bayesian Active Learning

open access: yesAdvanced Energy Materials, EarlyView.
This article presents an active learning approach using Bayesian optimization to calibrate the multiphase‐field model parameters for simulating the aging of Ni‐GDC anodes in SOFCs. By integrating experimental data and navigating through complex parameter spaces, it enhances predictive accuracy and provides insights into microstructural evolution ...
R. K. Jeela   +6 more
wiley   +1 more source

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