16 articles for “predicted activities”

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Research ArticleOpen accessIn the keywordsTheoretically Predicted Descriptors Based Quantitative Structure Activity Relationship Study of the Activity of Acridines Against B-16 MelanomaBahjat A. Saeed, Rita S. Elias, Sadiq M-H. Ismael, Kawkab A. HussainProblem statement: The probability of success and reducing time and coast in drug discovery process could be increased on the basis of QSAR techniques. The study involves the QSAR investigation of 20 bioactive acridines that have activity against Approach: Molecular descriptors, total energy, van der Waals volume, molecular volume, HOMO energy, HOMO-LUMO energy gap, polarizability, refractivity, bond angle of C8-N9-C2 … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 18 Jul 2011 · 7,689 accessesView PDF Cite

Research ArticleOpen accessIn the abstractMolecular Identification and Antioxidant Profiling of Penicillium heteringtonii EUA-017 from Mangrove (Avicennia alba) in West Sumatra, IndonesiaAnthoni Agustien, Djong Hon Tjong, Yetria Rilda et al.Mangrove ecosystems harbor diverse endophytic fungi that produce bioactive secondary metabolites with potential antioxidant activities. This study aimed to identify an endophytic fungal isolate (EUA-017) from Avicennia alba mangroves in West Sumatra, Indonesia, and characterize its antioxidant metabolites. Molecular identification was performed using internal transcribed spacer (ITS) region sequencing. Secondary metabolites from ethyl acetate extracts were characterized using Fourier-transform infrared … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 25 Mar 2026 · 1,410 accessesView PDF Cite

Research ArticleOpen accessIn the abstractDeep Sense: Deep Learning for Early Staging the Onset of Diabetes Emanating Recognition of Activity PatternsMohammed Shamsul Alam, Erfanul Hoque Bahadur, Md Fokrul Islam Khan et al.This study presents a comprehensive framework for Human Activity Recognition (HAR) using smartphone sensor data, with a specific focus on identifying activities associated with diabetic risk factors. We investigate the efficacy of two deep learning architectures (Long Short-Term Memory (LSTM) networks and Graph Convolutional Networks (GCNs)) for activity recognition under conditions of limited training data. To address data scarcity, we … …Journal of Computer Science, Vol. 21, Issue 10 · 15 Dec 2025 · 2,268 accessesView PDF Cite

Research ArticleOpen accessIn the abstractComputational Prediction of Diabetic Nephropathy-Associated Comorbidities and Their Key Genes by Analyzing RNA-Seq DataChaity Paul, Md. Ashiq Uddin, Rupa Dey et al.Diabetic Nephropathy (DN) is a complex health condition that leads to various kidney diseases. According to the World Health Organization, over 2 million deaths have been reported due to diabetes and diabetes related kidney diseases in 2021. And at the recent 78th World Health Assembly, chronic kidney disease was reported to be one of the most common diabetes-related complications, and … …OnLine Journal of Biological Sciences, Vol. 26, Issue 2 · 19 May 2026 · 1,667 accessesView PDF Cite

Research ArticleOpen accessIn the abstractThermodynamic Inference of the Antioxidant Process of Malic Acid and Its Structural AnalogsHan Wu, Wenhao Dong et al.Two structural analogs of Malic Acid (MA), 2-isopropylmalic Acid (2-IPMA), and 3-isopropylmalic Acid (3-IPMA) were recently identified and separated from wine. Although they have been shown to have antioxidant activity, the mechanism of their actions is still unclear. Antioxidant activities of 2-IPMA and MA were tested through DPPH, ABTS, and PTIO methods and the antioxidant-related thermodynamic properties were evaluated using … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 30 Oct 2024 · 4,824 accessesView PDF Cite

Research ArticleOpen accessIn the abstractCrime Rate Analysis and Mapping from Socio-Economic Data Using Deep Neural NetworksSanthosh Sankara, Nadeson SugithaCrime prediction is the attempt to identify and mitigate future criminal activity. Crime is typically "unpredictable"; it cannot be predicted in advance. Addressing the roots of crime has long been a priority for researchers. Extracting causality from data is difficult if the relevant data aspects are not selected. In this research activity, an innovative classification framework is defined which is … …Journal of Computer Science, Vol. 20, Issue 10 · 17 Aug 2024 · 5,089 accessesView PDF Cite

Research ArticleOpen accessIn the abstractAqueous Extracts of Bay Leaf (Laurus nobilis) and Rosemary (Rosmarinus officinalis) Inhibit Iron-Induced Lipid Peroxidation and Key-Enzymes Implicated in Alzheimer’s Disease in Rat Brain-in VitroAyodeji O. Falade, Goodness I. Omolaiye, Kayode E. Adewole et al.Neurological disorders remain a global health challenge, with Alzheimer’s Disease (AD) as the most famous cause of dementia in old people. Nevertheless, culinary spices and herbs have shown promising potentials in the management of neurological diseases. This study aimed at investigating the neuroprotective property of aqueous extracts of bay leaf (Laurus nobilis) and rosemary (Rosmarinus officinalis) by assessing the antioxidant … …American Journal of Biochemistry and Biotechnology, Vol. 18, Issue 1 · 25 Jan 2022 · 7,955 accessesView PDF Cite

Research ArticleOpen accessIn the abstractEssential Oils from The Dropped Flowers of Camellia japonica: Extraction Optimization, Chemical Profile and Antibacterial PropertyYunqi Kong, Gaochao Wang, Xinyu Wang et al.Camellia japonica is one of the most economically valuable species that can be taxonomically placed in the Theaceae family. Many horticultural varieties of C. japonica have been cultivated as ornamental trees worldwide, owing to their charming flowers. However, young C. japonica flowers usually drop in a “decapitated” form during the peak flowering stage, causing a resource waste. In this study, … …American Journal of Biochemistry and Biotechnology, Vol. 17, Issue 1 · 27 Jan 2021 · 6,985 accessesView PDF Cite

Research ArticleOpen accessIn the abstractParenting, Adolescents’ Future Orientation, and Adolescents’ Efficient Financial Behaviors in Young AdulthoodJeong Jin Yu, Sun-A LeeThe current study examined how parenting behaviors during adolescence would be related to adolescent children’s financial efficiency in early adulthood. We also examined if there was a possible mediator o f this link. Data for this investigation (N = 1385) were drawn from the high school and young adult in the Michigan Study of Adolescent Life Transitions, 22-year 9-wave investigation. … …Journal of Social Sciences, Vol. 13, Issue 4 · 16 Oct 2017 · 9,112 accessesView PDF Cite

EditorialOpen accessIn the abstractProtecting crop species from biotic and abiotic constraints in the era of Global Change: are we ready for this challenge?Marco Landi, Giovanni BenelliReliable and affordable supply of food is of crucial importance to the progress and stability of human societies. During the last century, we have assisted to an extraordinary increase of crop yields, especially for the most widespread and consumed crop species, such as rice, wheat, corn and soybean. The Broadbalk experiment, one of the oldest continuous agronomic experiments in the … …American Journal of Agricultural and Biological Sciences, Vol. 11, Issue 2 · 4 Jun 2016 · 8,399 accessesView PDF Cite