Results 161 to 170 of about 4,534,647 (290)

PrOMet: Accurate and Robust Metal‐Binding Site and Type Prediction

Advanced Science, EarlyView.
PrOMet is a two‐stage deep learning framework for jointly predicting metal‐binding sites and ion identities from protein structures. Surface candidate sites are first pruned, followed by refinement of the most probable sites and metal types. This hierarchical strategy enables robust and accurate metal prediction for cryo‐EM and AlphaFold‐derived ...
Gangeun Park, Chaok Seok, Hahnbeom Park
wiley   +1 more source

EAAT2 Expression in the Hippocampus, Subiculum, Entorhinal Cortex and Superior Temporal Gyrus in Alzheimer's Disease. [PDF]

Front Cell Neurosci, 2021
Yeung JHY, Palpagama TH, Wood OWG, Turner C, Waldvogel HJ, Faull RLM, Kwakowsky A.   +6 more
europepmc   +1 more source

Superior temporal gyrus

, 2015
Daniel Loh, Daniel Bell, Craig Hacking
openaire   +1 more source

T-2 RELAXATION TIMES IN THE SUPERIOR TEMPORAL GYRUS OF INDIVIDUALS AT ULTRA-HIGH RISK FOR PSYCHOSIS AND THEIR ASSOCIATIONWITH AUDITORY HALLUCINATIONS

, 2012
T-2 RELAXATION TIMES IN THE SUPERIOR TEMPORAL GYRUS OF INDIVIDUALS AT ULTRA-HIGH RISK FOR PSYCHOSIS AND THEIR ASSOCIATIONWITH AUDITORY ...
Stephen J Wood (6611390), Ashleigh Lin (2622058), Christos Pantelis (272264), Barnaby Nelson (6718064), Alison Yung (13100928), Damian Kennedy (13744309)   +5 more
core  

An Integrated Artificial Intelligence Framework for Nanomedicine Engineering

Advanced Science, EarlyView.
This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong, Qin Luo, Xinyi Ding, Chaoqi Lu, Ru Zhang, Qingqing Tan, Zhiqing Pang, Defang Ouyang, Dongsheng Li, Jiaxuan Xia, Jianxin Wang   +10 more
wiley   +1 more source

Superior temporal gyrus and cerebellar loops predict nonsuicidal self-injury in major depressive disorder patients by multimodal neuroimaging. [PDF]

Transl Psychiatry, 2022
Kang L, Wang W, Zhang N, Nie Z, Gong Q, Yao L, Tu N, Feng H, Zong X, Bai H, Wang G, Bu L, Wang F, Liu Z.   +13 more
europepmc   +1 more source

Inhibition of MEKK3 Prevents Cerebral Cavernous Malformation Progression Via Restoring Endothelial Integrity and Restricting Microglial Activation

Advanced Science, EarlyView.
In this study, we demonstrate that aberrant MEKK3 signaling in endothelial cells and microglia drives the progression of cerebral cavernous malformations (CCMs). Furthermore, we identify DPDH as a potent small‐molecule MEKK3 inhibitor with substantial therapeutic potential for CCM treatment.
Weiwei Zheng, Suyun Yu, Liwenyu Chen, Jing Ma, Peiliang Shen, Chang Yu, Xiaoqing Xin, Qiuhong Shen, Jing Chen, Song Ke, Hao Liu, Xiaobing Jiang, Ruogu Qi, Juming Yan, Jia Li, Jaesung P. Choi, Yin Lu, Yang Zhao   +17 more
wiley   +1 more source

Blunted superior temporal gyrus activity to negative emotional expression after mindfulness-based cognitive therapy for late-life depression. [PDF]

Front Aging Neurosci, 2022
Liu W, Li H, Lin X, Li P, Zhu X, Su S, Shi J, Lu L, Deng J, Sun X.   +9 more
europepmc   +1 more source

Flexible Integration of Structurally Diverse Spatial Multi‐Omics With AgaeSMO

Advanced Science, EarlyView.
AgaeSMO is a versatile and robust deep learning framework for flexible cross‐integration of spatial multi‐omics data. Leveraging a GATs network with a graph attention module, it learns joint embedding across diverse modalities, enabling integration of both structurally paired (e.g., spatial transcriptome‐epigenome, transcriptome‐proteome, transcriptome‐
Kunpeng Liu, Jinpo Su, Haotian Zhou, Yilin Shen, Mengke Qin, Yingjie Luo, Tiancai Wang, Zhenglin Chen, Yuanyuan Wang, Xiaokai Ma   +9 more
wiley   +1 more source

Superior temporal gyrus functional connectivity predicts transcranial direct current stimulation response in Schizophrenia: A machine learning study. [PDF]

Front Psychiatry, 2022
Paul AK, Bose A, Kalmady SV, Shivakumar V, Sreeraj VS, Parlikar R, Narayanaswamy JC, Dursun SM, Greenshaw AJ, Greiner R, Venkatasubramanian G.   +10 more
europepmc   +1 more source