Chirobiophore: A Novel Framework for Quantifying Biochirality in Macromolecular Systems. [PDF]
Lungu CN, Basak SC.
europepmc +1 more source
Comparative Analysis of Model‐Agnostic Explanation Methods in Materials Science
To address the critical lack of explainable artificial intelligence (XAI) benchmarks in materials science, we present a quantitative and qualitative analysis of six XAI methods applied to molecular fingerprints. Our results reveal significant discrepancies in feature importance rankings, demonstrating that the chosen explanation approach introduces ...
Anna Przybyłowska +7 more
wiley +1 more source
Interpretable QSAR models for acute oral toxicity via tuned XGBoost and hybrid data sampling techniques. [PDF]
Elsayad AM +3 more
europepmc +1 more source
A Scalable and Resource‐Efficient Pipelined p‐Computer for Probabilistic Ising Machines
(a) Block diagram of the portfolio optimization problem: given M assets, the goal is to determine the optimal weights w that maximize the expected return (based on the mean historical assets return u), while minimizing the risk, quantified by the assets covariance matrix S.
Deborah Volpe +9 more
wiley +1 more source
An optimized strategy for the ribosomal synthesis of thioisoindole‐bridged bicyclic (TiB) peptides is incorporated into the RaPID platform, enabling high‐throughput discovery from topologically defined TiB libraries. Proof‐of‐concept selection against TNIK identifies nanomolar‐affinity ligands with inhibitory activity, while x‐ray crystallography ...
Yue Zhang +5 more
wiley +2 more sources
Decoupling Size from Shape: Cellular Sheaf Laplacians as Ligand Geometry Descriptors for Binding Affinity Prediction. [PDF]
Akgüller Ö, Balcı MA, Cioca G.
europepmc +1 more source
Exploiting Edge Semantics in Job Shop Scheduling Problem With Heterogeneous Graph Transformers
A heterogeneous graph transformer (HGT) is introduced for reinforcement learning‐based job shop scheduling by explicitly distinguishing precedence and machine‐contention relations through edge‐type‐specific attention. The proposed framework learns richer scheduling representations, improves decision quality over homogeneous graph models, and highlights
Bulent Soykan, Fatih Kasimoglu
wiley +1 more source
Mechanical Caging of Nucleic Acids Enabled by Light‐Activated Synthetic Molecular Motors
A synthetic light‐driven molecular motor imposes mechanical constraints on nucleic acids, enabling “mechanical caging” as a new mode to regulate DNA structure and function through mechanical input rather than chemical masking. ABSTRACT Control over nucleic acid activity is central to biotechnology and therapeutic development.
Yuchen Ma +10 more
wiley +2 more sources
Interpretable Machine Learning of Nanoparticle Stability through Topological Layer Embeddings. [PDF]
Hawthorne F +4 more
europepmc +1 more source

