Results 121 to 130 of about 6,386,769 (253)

Topology-controlled Laplace–Beltrami operator on point clouds based on persistent homology

Graphical Models
Computing the Laplace–Beltrami operator on point clouds is essential for tasks such as smoothing and shape analysis. Unlike meshes, determining the Laplace–Beltrami operator on point clouds requires establishing neighbors for each point.
Ao Zhang, Qing Fang, Peng Zhou, Xiao-Ming Fu   +3 more
doaj   +1 more source

Impaired Chaperone‐Mediated Autophagy Accelerates Intervertebral Disc Degeneration by Inducing MIDN Accumulation to Target TSC2 for Proteasomal Degradation

Advanced Science, EarlyView.
This graphical abstract illustrates how chaperone‐mediated autophagy (CMA) regulates intervertebral disc degeneration (IDD). Under normal homeostasis (B), CMA degrades cytoplasmic Midnolin (MIDN) to maintain proteostasis. Under inflammatory stress (A), impaired CMA leads to cytoplasmic MIDN accumulation.
Xianglong Chen, Haiyang Gao, Wang Wu, Pengzhi Shi, Yuhang Chen, Anran Zhang, Zhangrong Cheng, Wenbo Wu, Zimu Yu, Yukun Zhang   +9 more
wiley   +1 more source

Unveiling synchronization transitions in networks of coupled oscillators through persistent homology of local structures

Scientific Reports
Synchronization phenomenon characterize the collective behavior of complex systems. In recent years, data-driven approaches have become relevant because they can identify and quantify synchronized activity.
Álvaro Zabaleta-Ortega, Cristina Masoller, Lev Guzmán-Vargas   +2 more
doaj   +1 more source

Sensitive remote homology search by local alignment of small positional embeddings from protein language models

eLife
Accurately detecting distant evolutionary relationships between proteins remains an ongoing challenge in bioinformatics. Search methods based on primary sequence struggle to accurately detect homology between sequences with less than 20% amino acid ...
Sean R Johnson, Meghana Peshwa, Zhiyi Sun   +2 more
doaj   +1 more source

Robots and Minimal, Physics‐Informed Features: A Hybrid Framework for Enzyme Catalysis

Advanced Science, EarlyView.
Robotic experimentation and physics‐informed machine learning combine to predict enzyme substrate scope. With a handful of interpretable features derived from docking and quantum mechanics calculations, our model rivals descriptor‐heavy AI approaches and extrapolates to unseen substrates and enzyme classes.
Natalia Onishchenko, Eric S. Larsen, Govind Paneru, Kisung Lee, Diana V. Kolygina, Yankai Jia, Elizabeth Maria Clarissa, Wai‐Shing Wong, Bartosz A. Grzybowski   +8 more
wiley   +1 more source

Kunneth formuale in persistent homology

, 2019
The classical Kunneth formula in homological algebra provides a link between the homology of a product space and that of its factors. We will show in this talk a collection of similar results for persistent homology.
Perea, José
core   +1 more source

Green solvent-controlled switchable synthesis of six-membered

Green Synthesis and Catalysis
The BF 3 ·OEt 2 promoted switchable synthesis of six-membered N -heterocycles and seven-membered O -heterocycles from readily available feedstocks was developed by the adjustment of green solvents EA and EtOH. The polycyclic tetrahydropyrido[1,2-a]indole
Liang Wang, Jing Wang, Xinyu Wang, Lubin Xu, Feng-Wei Guo, Xiong-Li Liu, Fangzhi Hu, Shuai-Shuai Li   +7 more
doaj   +1 more source

A Dual‐Mode In Situ EV‐miRNA Profiling Platform for Machine‐Learning‐Assisted Gastric Cancer Liquid Biopsy

Advanced Science, EarlyView.
An in situ dual‐mode platform integrates fusogenic liposomes with localized autocatalytic DNA circuits for plasma‐derived extracellular vesicle microRNA analysis. Following membrane fusion, target miRNAs trigger feedback‐assisted LECHA amplification inside intact vesicles, generating fluorescence and electrochemical outputs. Machine learning integrates
Wenbin Li, Rui Fan, Kun Xie, Jiehua Zhong, Yitong Zhu, Tingting Ji, Yuanyuan Qin, Shijin Peng, Yu Zhang, Yuhang Guo, Tiange Zhang, Chunchen Liu, Bo Li, Lei Zheng, Ye Zhang, Xiaohui Yan   +15 more
wiley   +1 more source

DyProL: Dynamic Ensemble Representation Learning for Protein–Nucleic Acid Binding Site Prediction

Advanced Science, EarlyView.
Protein function is represented as a dynamic conformational ensemble rather than a single static structure. A multi‐conformation geometric attention framework aligns, clusters, and learns representative states to capture residue‐ and ensemble‐level signals. Integrating structural dynamics improves interpretable protein‐NA binding prediction and reveals
Pengpai Li, Yiman Liu, Liya Liang, Rongming Liu   +3 more
wiley   +1 more source

Similarity‐Enhanced Representation Learning of Non‐Canonical Amino Acids for Therapeutic Peptide Modeling

Advanced Science, EarlyView.
Non‐canonical amino acids (ncAAs) enhance peptide therapeutics but remain difficult to model computationally. SinCAA, a similarity‐enhanced pretraining framework, jointly optimizes contrastive learning guided by a novel conformational similarity metric with masked node reconstruction, capturing both functional relationships and chemical identity of ...
Chencheng Xu, Lesong Wei, Jianmin Wang, Yuanpeng Xiong, Ruochi Zhang, Yu Wang, Chao Zha, Qiangcheng Zeng, Xin Gao   +8 more
wiley   +1 more source