Results 141 to 150 of about 2,496,067 (290)
Angewandte Chemie, EarlyView.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
DA609 npr-1(ad609)X | 2010-01-26T12:44:00+00:00
, 2017 <blockquote> <p>This experiment is part of the <em>C.elegans behavioural database</em>. For more information and the complete collection of experiments visit http://movement.openworm.org</p> </blockquote> <ul> ...
Javer, Avelino +23 more
core +1 more source
Advanced Intelligent Discovery, EarlyView.Deep learning‐based denoising models are applied to DNA data storage systems to enhance error reduction and data fidelity. By integrating DnCNN with DNA sequence encoding methods, the study demonstrates significant improvements in image quality and correction of substitution errors, revealing a promising path toward robust and efficient DNA‐based ...
Seongjun Seo +5 more
wiley +1 more source
In Vitro Selection of Functional Neoproteins Containing Highly Fluorinated Cores
Angewandte Chemie, EarlyView.The generation of neoproteins—functional proteins containing unnatural amino acids—is a key goal in synthetic biology. We develop a platform to discover neoproteins with specified bioactivity from trillion‐member sequence libraries, using genetic code reprogramming, in vitro selection and microwave peptide synthesis.
Adam Beattie +5 more
wiley +2 more sources
AI‐Driven Cancer Multi‐Omics: A Review From the Data Pipeline Perspective
Advanced Intelligent Discovery, EarlyView.The exponential growth of cancer multi‐omics data brings opportunities and challenges for precision oncology. This review systematically examines AI's role in addressing these challenges, covering generative models, integration architectures, Explainable AI for clinical trust, clinical applications, and key directions for clinical translation.
Shilong Liu, Shunxiang Li, Kun Qian
wiley +1 more source
A Comprehensive Comparative Study of Active Learning Schemes for Nanophotonics Design
Advanced Intelligent Discovery, EarlyView.Active learning (AL) strategies are benchmarked for the binary design of planar multilayer nanophotonic structures. Factorization machines combined with quantum annealing (QA) become effective as dimensionality increases. Hybrid QA provides the strongest results for 100‐layer problems, highlighting the importance of optimization method selection in ...
Serang Jung +10 more
wiley +1 more source
Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu +5 more
wiley +1 more source
, 2003 I föreliggande rapport redovisas mätningar av luftkvaliteten avseende trafikrelaterade luftföroreningar, kväveoxider (NOX som NO+NO2), ozon (O3) samt lättflyktiga kolväten (VOC) i ett antal tätorter i regionen (Blekinge, Jönköpings, Kalmar, Kronobergs och Östergötlands län).
Boström, Curt-Åke +3 more
openaire +1 more source
Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization
Advanced Intelligent Systems, EarlyView.Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee +3 more
wiley +1 more source
Advanced Intelligent Systems, EarlyView.FluoAI is a two‐stage, label‐free method for quantifying nanomaterial‐induced cytotoxicity from conventional fluorescence microscopy images. Mask R‐CNN segmentation and DenseNet‐121 classification provide rapid live/dead classification matching human accuracy.
Ugur C. Topkiran +6 more
wiley +1 more source