CLRe: A Synergistic Dual‐Engine Framework for One‐Step Retrosynthesis Prediction
CLRe uses a contrastive difficulty score to order pretrained seq2seq fine‐tuning for retrosynthesis. Reaction embeddings define the ranking score, and a cumulative easy‐to‐hard schedule expands from the easiest subset to the full training set while earlier examples remain active.
Tianhao Su +5 more
wiley +1 more source
Age-Related Clinical Agreement Between Noncycloplegic Autorefraction and Subjective Refraction: A Power-Vector Analysis. [PDF]
Candan O +4 more
europepmc +1 more source
Data‐Driven Discovery of Unconventional Antiferromagnets
A high‐throughput workflow that combines the physics‐informed pre‐screening, high‐throughput exchange calculations, Luttinger‐Tisza analysis and symmetry classification is established for accurate identification of unconventional antiferromagnets from the broad structural database.
Qirui Cui +3 more
wiley +1 more source
Machine Learning-Enhanced Quantitative Structure-Activity Relationship Modeling for DNA Polymerase Inhibitor Discovery: Algorithm Development and Validation. [PDF]
Kakraba S +5 more
europepmc +1 more source
A ZIF‐90 nanocarrier delivers dinotefuran and suppresses NlABCG3 and NlABCH1 in resistant Nilaparvata lugens. This system combines pH/ATP‐triggered release with enhanced foliar retention, improving efficacy while sparing honeybees and promoting rice growth, offering a promising resistance‐breaking strategy.
Chengshuai He +9 more
wiley +1 more source
TSTScope is an interpretable AI framework that integrates single‐cell transcriptomes with TCR information through curated gene‐program constraints. By linking receptor context to functional T cell states, it reveals response‐associated tumor‐specific T cell programs in lung cancer immunotherapy cohorts and defines an MPR score associated with ...
Shiwei Cao +8 more
wiley +1 more source
ChatGPT's performance in sample size estimation: a preliminary study on the capabilities of artificial intelligence. [PDF]
Sebo P, Wang T.
europepmc +1 more source
Quantum‐Like Dynamics in Whole‐Brain Models of the Human Connectome
Quantum‐like dynamics in the human brain. The level of quantum‐like behavior in a non‐quantum system of coupled oscillators is regulated by the spectral gap of the coupling graph. Whole‐brain modelling using QL fits the empirical data significantly better and has a lower model‐derived energy cost than the non‐QL model.
Gustavo Deco +5 more
wiley +1 more source
Accelerating Discovery of Leukemia Inhibitors Using AI-Driven Quantitative Structure-Activity Relationship: Algorithm Development and Validation. [PDF]
Kakraba S +2 more
europepmc +1 more source
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

