AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling
This review unites experiments, physics‐based simulations, and AI as a synergistic triad for protein dynamics modeling. It highlights integrative strategies, resolves sampling and forcefield bottlenecks, and outlines challenges and future directions for accurate, interpretable conformational ensemble prediction.
Chen Shi +4 more
wiley +1 more source
Proton-driven many-body interactions and structural organization in He <sub><i>n</i></sub> H<sup>+</sup> clusters. [PDF]
Montes de Oca-Estévez MJ +2 more
europepmc +1 more source
SKALE 2.0 maps disease‐associated protein aggregation as a phase‐resolved structural process, linking mutation‐induced geometric perturbations to nucleation, elongation, and suppressor design. Across neurodegenerative proteins, the framework reveals cryptic aggregation vulnerabilities, separates phase‐concordant and phase‐switching mutations, and ...
Jia Shen Sio +6 more
wiley +1 more source
Fast and interpretable quantification of biological shape heterogeneity via stratified Wasserstein kernel. [PDF]
Zhao W, Sutherland DJ, Dao Duc K.
europepmc +1 more source
An iterative reproducing kernel method in Hilbert space for the multi-point boundary value problems
B. Azarnavid, K. Parand
semanticscholar +1 more source
A gap‐free genome assembly and multi‐omics comparison of the terrestrial slug Laevichaulis alte with an aquatic relative reveal that expansion of the VEGF family orchestrates mucus production, lipid metabolism, and immune defense—highlighting key molecular innovations for conquering life on land.
Gang Wang +19 more
wiley +1 more source
Identifying stochastic dynamics from non-sequential data (DyNoSeD). [PDF]
Lu Z, Kuśmierz Ł, Mihalas S.
europepmc +1 more source
Uncertainty‐Aware Deep Ensembles for Robust and Reliable Chemical Sensor Arrays
A reliability‐aware electronic nose is developed using photothermally anchored metal‐catalyst decorated metal oxide nanofiber sensor arrays combined with deep ensemble learning. Diverse catalytic nanofiber channels generate gas‐specific response patterns, enabling selective identification and quantification of sulfur‐containing gases.
Sungwoo Eo +5 more
wiley +1 more source
Genomic prediction accuracy for low hydrogen cyanide selection in fresh cassava roots. Comparative model analysis. [PDF]
Kanaabi M +12 more
europepmc +1 more source
Full Details of Solving Initial Value Problems by Reproducing Kernel Hilbert Space Method
In this paper we solve in full details an initial value problem by reproducing kernel Hilbert space method and we notice that this solution is close to the exact solution.
AL- Azzawi, Saad N. +2 more
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