Results 131 to 140 of about 8,049,750 (250)

Music recommendation algorithms based on knowledge graph and multi-task feature learning

open access: yesScientific Reports
During music recommendation scenarios, sparsity and cold start problems are inevitable. Auxiliary information has been utilized in music recommendation algorithms to provide users with more accurate music recommendation results.
Xinqiao Liu   +2 more
doaj   +1 more source

A Site‐Aware Representation Learning Framework For Unified Molecular Interaction Modeling and Generative Design

open access: yesAdvanced Science, EarlyView.
MolDBG is a site‐aware, sequence‐only framework that unifies drug‐target affinity prediction, binding‐site identification, and affinity‐conditioned molecular generation for structured proteins. Guided by multi‐task binding‐site supervision, it aligns interaction‐critical residues before learning drug‐target representations and simultaneously infers ...
Gang Luo   +6 more
wiley   +1 more source

Ensembles of knowledge graph embedding models improve predictions for drug discovery. [PDF]

open access: yesBrief Bioinform, 2022
Rivas-Barragan D   +3 more
europepmc   +1 more source

STWave: Fine‐Scale Spatial Structure Discovery in Microscopic‐Resolution Spatial Transcriptomics via Patchwise Wavelet Graphs

open access: yesAdvanced Science, EarlyView.
STWave transforms massive microscopic‐resolution spatial transcriptomics into interpretable fine‐scale tissue maps through patch‐wise inference, wavelet‐based multi‐scale encoding, and dual‐domain reconstruction. It reduces noise while preserving weak spatial signals, enabling efficient analysis of 6 40 000 spots of 2.47 GB GPU memory and revealing ...
Tao Jiang   +9 more
wiley   +1 more source

Molecular-evaluated and explainable drug repurposing for COVID-19 using ensemble knowledge graph embedding. [PDF]

open access: yesSci Rep, 2023
Islam MK   +5 more
europepmc   +1 more source

A Unified Hierarchical Multiscale Fusion Framework for Drug–Target Affinity Prediction: From Benchmark Performance to Nanomolar Inhibitor Discovery

open access: yesAdvanced Science, EarlyView.
A multimodal fusion framework integrating sequence, atomic, and fragment representations captures drug–target interactions across multiple scales. The model delivers strong predictive performance and enables efficient virtual screening. Applied to hematopoietic progenitor kinase 1 (HPK1), it identifies structurally diverse inhibitors with nanomolar ...
Shuo Liu   +7 more
wiley   +1 more source

Multimodal reasoning based on knowledge graph embedding for specific diseases. [PDF]

open access: yesBioinformatics, 2022
Zhu C   +5 more
europepmc   +1 more source

Static detection method for multi-level network source code vulnerabilities based on knowledge graph technology

open access: yesDiscover Artificial Intelligence
The current static detection method of network source code vulnerabilities mainly relies on the static analysis of binary code. However, due to the failure to fully simulate the actual operating environment of programs, some vulnerabilities that trigger ...
Peng Xiao   +3 more
doaj   +1 more source

Matrix Stiffness Orchestrates Mesenchymal Stem Cell Lineage Commitment Toward Osteogenesis and Adipogenesis Through the PIEZO1/SP1/STC2 Axis

open access: yesAdvanced Science, EarlyView.
Matrix stiffness directs mesenchymal stem cell lineage commitment through PIEZO1‐dependent activation of the SP1/STC2 pathway. Stiff matrices favor osteogenesis and suppress adipogenesis, whereas the loss of PIEZO1 function impairs early bone formation. STC2 retains lineage‐regulatory activity even when PIEZO1 is inactive.
Shuo Zhang   +12 more
wiley   +1 more source

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