Results 241 to 250 of about 848,049 (294)

Molecular Signatures of HIV‐Induced Neuroinflammation and Neurodegeneration in Human Cerebral Organoids: Identification of Therapeutic Targets for NeuroHIV

Advanced Science, EarlyView.
HIV preferentially infects microglia, activating IL‐17A‐driven IFN‐γ/STAT1, CEBPB, and NF‐κB signaling that converges with cGAS‐STING and Notch–NEURL1 pathways, promoting neuroinflammation, mitochondrial dysfunction, and synaptic impairment. cART suppresses viral replication, attenuates inflammatory signaling, and at least partially restores ...
Karthick Chennakesavan, Malaroviyam Samikkannu, Shreyan Gupta, Olasunkanmi Israel Tayo, Arpan Acharya, James J. Cai, Siddappa N. Byrareddy, Thangavel Samikkannu   +7 more
wiley   +1 more source

Disentangling Heterogeneous Molecular Networks for Multi‐Omics‐Driven Cancer Driver Discovery

Advanced Science, EarlyView.
DRIVE integrates PPI topology and pan‐cancer multi‐omics profiles through dual‐view graph disentanglement, contrastive representation learning, and joint optimization. Across six PPI networks, DRIVE outperforms ten baselines and remains robust to structural and annotation perturbations.
Xinjing Gong, Ji Li, Mu Su, Peishen Yu, Te Ma, Ruiyang Zhai, Chenye Zhang, Mengyan Zhang, Yan Zhang   +8 more
wiley   +1 more source

DUET‐seq: An Open‐Source Droplet Platform for High‐Fidelity Joint Chromatin and Transcriptome Profiling Reveals Temporal Regulatory Decoupling in Single Cells

Advanced Science, EarlyView.
DUET‐seq is an open‐source droplet platform that jointly profiles chromatin accessibility and gene expression from the same nucleus. Dissolvable dual‐linker hydrogel beads and a one‐step intra‐droplet RT‐PCR co‐index both modalities in under 12 h at roughly $0.04 per cell.
Dong Cheng, Zijun Meng, Lan Wei, Pingjing Yang, Fanfan Zhang, Zhiyi Luo, Ting Lai, Chunli Li, Mengyao Zhao, Mengqin Xu, Jiaqi Wang, Linjun Li, Huarong Chen, Jin Li, Ailong Huang, Youquan Bu, Liuyang Zhao   +16 more
wiley   +1 more source

Benchmarking the impact of data leakage on the performance of knowledge graph embedding models for biomedical link prediction. [PDF]

Bioinformatics
Brière G, Stosskopf T, Loire B, Baudot A.   +3 more
europepmc   +1 more source

qcGEM: A Graph‐Based Molecular Representation With Quantum Chemistry Awareness

Advanced Science, EarlyView.
In this work, we introduce qcGEM, a quantum‐chemistry‐aware graph‐based embedding of molecules that incorporates physical priors into molecular representation learning. Through a specially designed model architecture to adequately process quantum chemistry information as well as three‐dimensional molecular geometry, qcGEM provides a compact, physics ...
Haoyu Wang, Ziyan Zhang, Swee Hong Ng, Haipeng Gong   +3 more
wiley   +1 more source

Expected value of the Sackin index under biased speciation models. [PDF]

J Math Biol
Bauman DJ, Rosenberg NA.
europepmc   +1 more source

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

DeepRank-Ab: a scoring function for antibody-antigen complexes based on geometric deep learning. [PDF]

Commun Biol
Xu X, Coratella I, Reys V, Bonvin AM.
europepmc   +1 more source