Results 11 to 20 of about 1,864 (132)

Accelerating Biosensor Discovery: A Computationally‐Driven Pipeline for Microplastics Monitoring

Advanced Intelligent Discovery, EarlyView.
A computationally guided pipeline unites molecular simulation, synthetic biology, electrochemical engineering, and machine learning to accelerate biosensor discovery. A Bacillus anthracis carbohydrate‐binding module is used to develop a high‐performance micro‐ and nanoplastics sensor with greatly reduced error and variability.
Gabriel X. Pereira, Marcos de C. Leite, Pedro H. M. Zanineli, Juliana N. Y. Costa, Débora M. Cunha, Sophia P. Serra, Pedro H. Sophia, Flávio M. Shimizu, Yasmin W. Moura, Célio C. Oliveira, Gabriel R. Schleder, Gabriela F. Persinoti, Leandro Merces, Renato S. Lima   +13 more
wiley   +1 more source

The role of editorial boards in shaping scholarly communication: A large‐scale mapping of their composition and structure

Journal of the Association for Information Science and Technology, EarlyView.
Abstract Editorial boards play a central role in shaping scholarly communication by influencing what research is published and how disciplinary boundaries are defined. Despite their importance, large‐scale, systematic evidence on their composition and structure remains limited.
Evangelina Becerra‐Rodero, José Luis Ortega   +1 more
wiley   +1 more source

Targeting Amastigote and Trypomastigote Phases: Multi‐Epitope Vaccine Strategy Against Trypanosoma cruzi

Biotechnology and Applied Biochemistry, EarlyView.
ABSTRACT Effective vaccines against Trypanosoma cruzi, the causative agent of Chagas disease, are urgently needed. Here, we report the design and in silico validation of a novel multiepitope vaccine construct targeting the key surface proteins ASP‐2 and gp82. Using a comprehensive immunoinformatics pipeline, we identified and selected 38 potent T‐cell (
Maria Karolaynne da Silva, Caio Patrício de Souza Sena, Davi Serradella Vieira, Magdi E. A. Zaki, Leow Chiuan Yee, Shahina Akter, Umberto Laino Fulco, Jonas Ivan Nobre Oliveira, João Firmino Rodrigues‐Neto   +8 more
wiley   +1 more source

Geometry‐Based Neural‐Network Prediction of Electron Localization Function Topology in Dense Hydrogen

Chemistry – A European Journal, EarlyView.
We present a machine‐learning framework that predicts the electron localization function (ELF) of dense hydrogen directly from atomic geometry, bypassing explicit electronic‐structure calculations. Trained on ab initio data for fluid hydrogen across multiple pressures, the model achieves high accuracy and reveals pressure‐dependent nonlocal ...
Xiaoyu Wang, Miriam Marqués, Sergio Gómez, Francesc Serratosa, Eva Zurek, Julia Contreras‐García   +5 more
wiley   +1 more source

Artificial intelligence in enzyme catalysis: Emerging trends and applications in biocatalyst engineering

The Canadian Journal of Chemical Engineering, EarlyView.
Schematic representation of artificial intelligence approaches in enzyme catalysis, integrating bibliometric analysis, emerging research trends, and machine learning tools for enzyme design, prediction, and industrial biocatalytic applications. Abstract This study systematically explores the applications of artificial intelligence (AI) in enzyme ...
Misael Bessa Sales, Francisco Izaias da Silva Aires, Paulo Gonçalves de Sousa Junior, Calebe Da Rocha Silva, Emanuel Lino Rodrigues, Maria Cristiane Martins de Souza, José C. S. dos Santos   +6 more
wiley   +1 more source

Micro‐QuEChERS Extraction for Broad‐Spectrum LC‐QQQ‐MS Quantification of Nitazene Analogs in Plasma: A Validated Method With Casework Application

Drug Testing and Analysis, EarlyView.
Micro‐QuEChERS sample preparation coupled to LC‐QQQ‐MS enabled sensitive quantification of nitazene analogs in 100 μL of plasma. The validated method provided low detection limits and was successfully applied to an authentic intoxication case involving N‐pyrrolidino protonitazene, supporting clinical and forensic toxicology workflows.
Karla A. O. Souza, Náthaly C. B. F. Santos, Rafael Lanaro, Sara E. Walton, Alex J. Krotulski, Barry K. Logan, Mauricio Yonamine, Jose Luiz Costa   +7 more
wiley   +1 more source

Enviromics crosstalk between internal and external plant environments for enhanced adaptation and de novo domestication

iMeta, EarlyView.
Climate change demands accelerated plant adaptation and de novo domestication. Yet current enviromics focuses disproportionately on external environments, neglecting internal dynamics—gene expression, metabolic flux, and signal transduction—within predictive envirotyping frameworks.
Lin‐An Zhang, Xuan Dong, Kai Liu, Nicolas Gonzalez, Jose Manuel Estevez, Wen‐Xue Li, Xing Wang Deng, Feng Yu, Yunbi Xu   +8 more
wiley   +1 more source

A Comprehensive Study to Compare Different Compound Representations for Predicting Carcinogenicity In Vivo

Journal of Applied Toxicology, EarlyView.
ABSTRACT Carcinogenicity evaluation is a critical component of chemical risk assessment, yet traditional in vivo testing remains time consuming, costly, and ethically challenging. Computational approaches based on machine learning offer promising alternatives, but the relative contributions of different molecular representation strategies for ...
Iuri Barbosa Pereira, Rogerio Salvini, Eloisa Dutra Caldas   +2 more
wiley   +1 more source

Characterising Vento Norte Downslope Windstorms and Their Thermal Impacts in Southern Brazil

International Journal of Climatology, EarlyView.
Using 20 years of hourly INMET observations in Santa Maria (southern Brazil), we identify 189 Vento Norte (VNOR) downslope windstorms, ~72% in winter, marked by abrupt warming, drying and strong northerly gusts. Across five biometeorological indices (TEFW, TDI, THI, HDI, Humidex), VNOR hours consistently show significantly higher thermal discomfort ...
Cinara Ewerling da Rosa, Michel Stefanello, Diego Portalanza, Mateus da Silva Rebelo, Gervasio Annes Degrazia, Milena Marquesin   +5 more
wiley   +1 more source

Detecting Antibiotic Resistance in Strains of Selected Gram‐Negative Bacterial Species Using Raman Spectroscopy

Journal of Raman Spectroscopy, EarlyView.
Raman spectroscopy successfully identified antibiotic‐resistant Gram‐negative strains. Resistant strains of four bacterial species were discriminated from sensitive ones with 99.1% accuracy using PLS regression. The method allows for rapid, label‐free detection of antibiotic resistance.
Fernanda Sant Ana de Siqueira e Oliveira, Adriano Moraes da Silva, Marcos Tadeu T. Pacheco, Landulfo Silveira Jr.   +3 more
wiley   +1 more source