Results 241 to 250 of about 168,042 (312)

De Novo Design of Membrane‐Targeting Antimicrobial Peptides Against Gram‐Negative Bacteria Using a Generative Artificial Intelligence Framework

Advanced Science, EarlyView.
Antimicrobial resistance caused by Gram‐negative bacteria remains difficult to overcome due to the protective outer membrane. To address this challenge, a multi‐condition constrained generative AI framework, GenMTAMP is proposed for de novo membrane‐targeting antimicrobial peptide design by integrating physicochemical and spatial structure descriptors.
Jingxiao Yu, Da‐Wen Sun, QingYi Wei, Yibing Zhang, Jidong Tang, Hongbin Pu   +5 more
wiley   +1 more source

An Operator Analysis on Stochastic Differential Equation (SDE)-Based Diffusion Generative Models. [PDF]

Entropy (Basel)
Wu Y, Kawahara Y.
europepmc   +1 more source

ProSiteHunter: A Unified Framework for Sequence‐Based Prediction of Protein‐Nucleic Acid and Protein‐Protein Binding Sites

Advanced Science, EarlyView.
This study proposed a unified sequence‐based framework for protein binding site prediction, which adopted a tri‐track semantic multi‐source feature fusion strategy to effectively capture diverse macromolecular interaction sites and further improved the accuracy of antibody‐antigen interaction prediction.
Dongliang Hou, Qihang Zhen, Zexin Lv, Xinyue Cui, Suhui Wang, Minghua Hou, Zhan Zhou, Xiaogen Zhou, Guijun Zhang   +8 more
wiley   +1 more source

A Lightweight Machine Learning Framework for Post-Stroke Gait Abnormality Classification Using Wearable Gyroscope Features. [PDF]

Sensors (Basel)
Orfanos S, Sanghan T, Menychtas A, Panagopoulos C, Maglogiannis I, Chatpun S.   +5 more
europepmc   +1 more source

Toward Nano‐Nutritional Medicine: A Remotely Activated Trans‐Vaccenic Acid‐Based Lipid Nanoparticles for Enhancing Immune Checkpoint Blockade Therapy

Advanced Science, EarlyView.
Eutectic mixtures from trans‐vaccenic acid (TVA) and stearic acid, which served as phase‐change material to encapsulate IR780, forming NIR‐responsive nanoparticles. IR780@TVA LNPs induce photothermal therapy and initiate adaptive anti‐tumor immunity.
Kang Liu, Yunlong Li, Hanmeng Liu, Peng Zhang, Mingjing Wang, Quanwei Sun, Wenshuo Yang, Zhengwei Song, Song Tan, Ye Yang, Peng She, Dengke Yin, Wei Shen   +12 more
wiley   +1 more source

Enhancing genomic prediction for key production traits in chickens through ultrasound phenotyping and multi-model comparative analysis. [PDF]

J Anim Sci Biotechnol
Zhu R, Jiang Y, Xiong W, Zhang Y, Lian Z, Gou D, Li Z, Wang X, Deng X.   +8 more
europepmc   +1 more source

AI‐Physics‐Experiment Trinity for Integrated Protein Dynamics Modeling

Advanced Science, EarlyView.
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, Minying Low, Peng Xiu, Kresten Lindorff‐Larsen, Yong Wang   +4 more
wiley   +1 more source

Critical evaluation of the theory and practice of feed-forward neural networks for genomic prediction. [PDF]

G3 (Bethesda)
Kusmec A, Negus KL, Yu J.
europepmc   +1 more source

A Phase‐Resolved Geometric Deep Learning Framework Maps Structural Determinants of Disease‐Associated Protein Aggregation and Guides Suppressor Design

Advanced Science, EarlyView.
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, Wei Xuan Wilson Loo, Yan Shan Loo, Wen Xin Tan, Hui Xuan Lim, Huitao Liu, Chen Seng Ng   +6 more
wiley   +1 more source