Results 231 to 240 of about 19,326 (285)

De Novo Multi‐Mechanism Antimicrobial Peptide Design via Multimodal Deep Learning

open access: yesAdvanced Science, EarlyView.
Current AI‐driven peptide discovery often overlooks complex structural data. This study presents M3‐CAD, a generative pipeline that leverages 3D voxel coloring and a massive database of over 12 000 peptides to capture nuanced physicochemical contexts.
Xiaojuan Li   +23 more
wiley   +1 more source

High‐Fidelity Synthetic Data Replicates Clinical Prediction Performance in a Million‐Patient Diabetes Cohort

open access: yesAdvanced Science, EarlyView.
This study generates high‐fidelity synthetic longitudinal records for a million‐patient diabetes cohort, successfully replicating clinical predictive performance. However, deeper analysis reveals algorithmic biases and trajectory inconsistencies that escape standard quality metrics. These findings challenge current validation norms, demonstrating why a
Francisco Ortuño   +5 more
wiley   +1 more source

Engineering Compact Base Editors by AlphaFold‐Guided Mutation Scan and Escherichia coli‐Based Tri‐Selection

open access: yesAdvanced Science, EarlyView.
A miniaturized deaminase SsdAtox was scanned with AlphaFold to identify DNA binding pocket hot spots. Site‐saturation mutagenesis at gatekeeper residue K31 yielded ten‐fold activity enhancement. Trinity Screen, an E. coli‐based three‐in‐one platform selecting for high activity and reduced double‐strand breaks, enabled combinatorial evolution at DNA ...
Ryeo Gang Son   +2 more
wiley   +1 more source

Toward a thermodynamic stability order of the phosphorus allotropes. [PDF]

open access: yesRSC Adv
Bonometti L   +5 more
europepmc   +1 more source

Unveil Fundamental Graph Properties for Neural Architecture Search

open access: yesAdvanced Science, EarlyView.
This paper proposes NASGraph, a graph‐based framework that represents neural architectures as graphs whose structural properties determine performance. By revealing structure–performance relationships, NASGraph enables efficient neural architecture search with significantly reduced computation.
Zhenhan Huang   +4 more
wiley   +1 more source

Machine Learning for Green Solvents: Assessment, Selection and Substitution

open access: yesAdvanced Science, EarlyView.
Environmental regulations have intensified demand for green solvents, but discovery is limited by Solvent Selection Guides (SSGs) that quantify solvent sustainability. Training a machine learning model on GlaxoSmithKline SSG, a database of sustainability metrics for 10,189 solvents, GreenSolventDB is developed. Integrated with Hansen solubility metrics,
Rohan Datta   +4 more
wiley   +1 more source

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