17   Artículos

 
en línea
Károly Héberger    
Background: The development and application of machine learning (ML) methods have become so fast that almost nobody can follow their developments in every detail. It is no wonder that numerous errors and inconsistencies in their usage have also spread wi... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Cindy Trinh, Silvia Lasala, Olivier Herbinet and Dimitrios Meimaroglou    
This article investigates the applicability domain (AD) of machine learning (ML) models trained on high-dimensional data, for the prediction of the ideal gas enthalpy of formation and entropy of molecules via descriptors. The AD is crucial as it describe... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Monika Hrynkiewicz, Anna Iwaniak, Piotr Minkiewicz, Malgorzata Darewicz and Wojciech Plonka    
This study aimed to analyze the structural requirements for di- and tripeptides exhibiting a DPP IV-inhibitory effect. The sequences of 46 di- and 33 tripeptides, including their bioactivity (IC50; µM), were implemented from the BIOPEP-UWM database, wher... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jesus Vicente de Julián-Ortiz and Emili Besalú    
The design of fungicides is a central topic in agricultural chemistry. In this manuscript, it is shown how the Superposition of Significant Interaction Rules (SSIR) method can serve the generation of new potentially active molecules. By using SSIR, it is... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Cosmin Trif, Dragos Paul Mihai, Anca Zanfirescu and George Mihai Nitulescu    
The fatty acid amide hydrolase (FAAH) is an enzyme responsible for the degradation of anandamide, an endocannabinoid. Pharmacologically blocking this target can lead to anxiolytic effects; therefore, new inhibitors can improve therapy in this field. In o... ver más
Revista: AI    Formato: Electrónico

 
en línea
Yanhong Lin, Jing Wang, Xiaolin Li, Yuanzi Zhang and Shiguo Huang    
Quantitative Structure?Activity Relationship (QSAR) aims to correlate molecular structure properties with corresponding bioactivity. Chance correlations and multicollinearity are two major problems often encountered when generating QSAR models. Feature s... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Jianshen Zhu, Chenxi Wang, Aleksandar Shurbevski, Hiroshi Nagamochi and Tatsuya Akutsu    
Inference of chemical compounds with desired properties is important for drug design, chemo-informatics, and bioinformatics, to which various algorithmic and machine learning techniques have been applied. Recently, a novel method has been proposed for th... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Melanie Voigt, Benjamin Hentschel, Nina Theiss, Christina Savelsberg, Indra Bartels, Anna Nickisch-Hartfiel and Martin Jaeger    
Pharmaceuticals in waters represent a worldwide problem of today. Advanced oxidation processes (AOPs) are being researched for elimination of the ecological hazard. Among the substances, the fluoroquinolone antibiotic lomefloxacin was selected for invest... ver más
Revista: Clean Technologies    Formato: Electrónico

 
en línea
Dragos Paul Mihai, Cosmin Trif, Gheorghe Stancov, Denise Radulescu and George Mihai Nitulescu    
Transient receptor potential ankyrin 1 (TRPA1) is a ligand-gated calcium channel activated by cold temperatures and by a plethora of electrophilic environmental irritants (allicin, acrolein, mustard-oil) and endogenously oxidized lipids (15-deoxy-?12, 14... ver más
Revista: AI    Formato: Electrónico

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