Results 181 to 190 of about 848,049 (294)
Computationally Evidence‐Grounded Sequence‐First Design of Peptide Binders
BOND‐PEP enables controllable, sequence‐first peptide binder design by grounding generation in binding evidence retrieved for each target. It uses topology‐conditioned message passing to integrate relevant peptide examples with the target protein sequence, forming a residue‐level representation that guides the generation of diverse, target‐specific ...
Wenze Ding
wiley +1 more source
Neuro-semantic graph fusion for explainable depression risk trajectory mapping using a graph-enhanced RoBERTa framework. [PDF]
Karthiga M +3 more
europepmc +1 more source
Learning Work Function via Implicit Reasoning on Electrostatic Potential Landscapes
StructPot‐CLR establishes a cross‐modal contrastive learning framework that aligns the crystal structures of 2D materials with plane‐averaged electrostatic potential landscapes for physically informed work‐function prediction. The model achieves an MAE of 0.265 eV and an R2 of 0.902 on the held‐out test set while accurately preserving key morphological
Haoyu Wan, Yue Wu, Tianhao Su, Deng Pan
wiley +1 more source
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
2D-JCOG: Transforming 1D <sup>1</sup>H NMR Spectra into J-δ Correlation Maps via the Shared Splitting Theorem and Graph Neural Networks. [PDF]
Cobas C.
europepmc +1 more source
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
Measuring AI Progress in Drug Discovery: A Reproducible Leaderboard for the Tox21 Challenge. [PDF]
Ebner A +5 more
europepmc +1 more source
A Transformer‐based AI framework, DLINP, screens millions of compounds to identify Co68, a cobalt‐pincer organometallic complex that biases TLR4‐MD2 signaling toward antitumor interferon activation while suppressing inflammatory toxicity through an early TLR4‐SYK‐STAT1 axis.
Xuefei Guo +10 more
wiley +1 more source
Evaluating the Incremental Value of Three-Dimensional Conformer Descriptors for Blood-Brain Barrier Permeability Prediction Using the B3DB Benchmark Dataset. [PDF]
Tiwari S +3 more
europepmc +1 more source
As engineered nanomaterials gain prominence in cancer imaging and therapy, understanding their impact on tumor progression becomes increasingly critical. We demonstrate that gold and silica‐coated gold nanomaterials can either suppress or enhance breast cancer metastasis through distinct tumor microenvironment interactions, while identifying ...
Kiana Buttiens +11 more
wiley +1 more source

