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  • Open Access

    ARTICLE

    GC-MS Profiling, In Vitro and In Silico Antibacterial and Antioxidant Potential of Origanum elongatum Essential Oil: Novel Source against Phytopathogenic Bacteria

    Amine Batbat1,2, Mohamed El Fadili3, Naoufal El Hachlafi4,*, Amine Elbouzidi5,*, Chaymae Hmimen6, Hiba Yahyaoui2,7, Samir Jeddi6, Abdellatif Benbouazza2, Kawtar Fikri-Benbrahim6, Mohamed Addi5, Samiah Hamad Al-Mijalli8, Khaoula Habbadi2, Hassane Greche1

    Phyton-International Journal of Experimental Botany, Vol.94, No.2, pp. 481-501, 2025, DOI:10.32604/phyton.2025.059841 - 06 March 2025

    Abstract This study highlights the regulatory potential antibacterial and antiradical of Origanum elongatum essential oil (EO), an endemic medicinal plant of Morocco used for its various properties. The chemical composition of the EO was characterized using gas chromatography-mass spectrometry (GC-MS). The antibacterial activity against different agricultural phytopathogens was determined by disc diffusion and microatmosphere methods, as well as by the determination of minimum inhibitory concentrations (MIC) and minimum bactericidal concentration (MBC), while the antioxidant activity was evaluated by DPPH and FRAP assays. To complement the experimental analyses, a molecular docking approach was used to predict and elucidate… More >

  • Open Access

    ARTICLE

    Thymus serpyllum L. Essential Oil: Phytochemistry and in Vitro and in Silico Screening of Its Antimicrobial, Antioxidant and Anti-Inflammatory Properties

    Samiah Hamad Al-Mijalli1, Hanae Naceiri Mrabti2, Amine Elbouzidi3,*, Naglaa S. Ashmawy4,5, Amine Batbat6, Emad M. Abdallah7, Wafa Laaboudi8, Mohammed Aladhadh9, Fahad M. Alshabrmi10, Sulaiman Mohammed Alnasser11, Mohamed Addi3, Naoufal El Hachlafi12

    Phyton-International Journal of Experimental Botany, Vol.94, No.1, pp. 209-227, 2025, DOI:10.32604/phyton.2025.060438 - 24 January 2025

    Abstract Thymus serpyllum L., often known as wild thyme, has been used since ancient times due to its multifaceted culinary and medicinal attributes. It is usually utilized in folk medicine to manage different health issues. This work aimed to investigate the chemical composition and biological characteristics of T. serpyllum essential oil (EO), including its antimicrobial, antioxidant, and anti-inflammatory capabilities. Moreover, we have prompted an in-silico simulation to reveal the underlying mode of action of these properties. The chemical characterization of T. serpyllum (EO) by Gas Chromatography-Mass Spectrometry (GC-MS) indicated sabinene (17.33%), terpinen-4-ol (11.73%), phellandral (13.18%), and thymol (10.54%) as main… More >

  • Open Access

    ARTICLE

    Genome-Wide Identification of ALDH Gene Family under Salt and Drought Stress in Phaseolus vulgaris

    Abdil Hakan Eren*

    Phyton-International Journal of Experimental Botany, Vol.93, No.11, pp. 2883-2907, 2024, DOI:10.32604/phyton.2024.058627 - 30 November 2024

    Abstract Background: Aldehyde dehydrogenase (ALDH) genes constitute an important family of supergenes that play key roles in synthesizing various biomolecules and maintaining cellular homeostasis by catalyzing the oxidation of aldehyde products. With climate change increasing the exposure of plants to abiotic stresses such as salt and drought, ALDH genes have been identified as important contributors to stress tolerance. In particular, they help to reduce stress-induced lipid peroxidation. Objectives: This study aims to identify and characterize members of the ALDH supergene family in Phaseolus vulgaris through a genome-wide bioinformatic analysis and investigate their role in response to abiotic stressors such… More >

  • Open Access

    ARTICLE

    Deciphering key genes involved in cisplatin resistance in kidney renal clear cell carcinoma through a combined in silico and in vitro approach

    MUNEEBA MALIK1, MAMOONA MAQBOOL2, TOOBA NISAR3, TAZEEM AKHTER4, JAVED AHMED UJAN5,6, ALANOOD S. ALGARNI7, FAKHRIA A. AL JOUFI8, SULTAN SHAFI K. ALANAZI9, MOHAMMAD HADI ALMOTARED10, MOUNIR M. SALEM BEKHIT11, MUHAMMAD JAMIL12,*

    Oncology Research, Vol.31, No.6, pp. 899-916, 2023, DOI:10.32604/or.2023.030760 - 15 September 2023

    Abstract The low survival rate of Kidney renal clear cell carcinoma (KIRC) patients is largely attributed to cisplatin resistance. Rather than focusing solely on individual proteins, exploring protein-protein interactions could offer greater insight into drug resistance. To this end, a series of in silico and in vitro experiments were conducted to identify hub genes in the intricate network of cisplatin resistance-related genes in KIRC chemotherapy. The genes involved in cisplatin resistance across KIRC were retrieved from the National Center for Biotechnology Information (NCBI) database using search terms as “Kidney renal clear cell carcinoma” and “Cisplatin resistance”. The genes… More >

  • Open Access

    ARTICLE

    Developing a Breast Cancer Resistance Protein Substrate Prediction System Using Deep Features and LDA

    Mehdi Hassan1,2, Safdar Ali3, Jin Young Kim2,*, Muhammad Sanaullah4, Hani Alquhayz5, Khushbakht Safdar6

    CMC-Computers, Materials & Continua, Vol.76, No.2, pp. 1643-1663, 2023, DOI:10.32604/cmc.2023.038578 - 30 August 2023

    Abstract Breast cancer resistance protein (BCRP) is an important resistance protein that significantly impacts anticancer drug discovery, treatment, and rehabilitation. Early identification of BCRP substrates is quite a challenging task. This study aims to predict early substrate structure, which can help to optimize anticancer drug development and clinical diagnosis. For this study, a novel intelligent approach-based methodology is developed by modifying the ResNet101 model using transfer learning (TL) for automatic deep feature (DF) extraction followed by classification with linear discriminant analysis algorithm (TLRNDF-LDA). This study utilized structural fingerprints, which are exploited by DF contrary to conventional More >

  • Open Access

    ARTICLE

    In silico Prediction and Analysis of Potential Off-Targets and Off-Target Mutation Detection in StERF3-Gene Edited Potato Plants

    Hafiza Arooj Razzaq1, Siddra Ijaz1,*, Imran Ul Haq2, Faisal Saeed Awan1

    Phyton-International Journal of Experimental Botany, Vol.92, No.8, pp. 2451-2460, 2023, DOI:10.32604/phyton.2023.030501 - 25 June 2023

    Abstract The imperative aspect of the CRISPR/Cas9 system is a short stretch of 20 nucleotides of gRNA that control the overall specificity. Due to the small size, the chance of its multiple occurrences in the genome increases; however, a few mismatches are tolerated by the Cas9 endonuclease activity. An accurate and careful in silico-based off-target prediction while target selection is preferred to address the issue. These predictions are based on a comprehensive set of selectable parameters. Therefore, we investigated the possible off-target prediction and their screening in StERF3 gene-edited potato plants while developing StERF3-loss-of-function mutants using CRISPR/Cas9 More >

  • Open Access

    ARTICLE

    Comparative studies on the binding site of anesthetics to GABA a receptors using in silico docking methods

    SEUNGHYUN AHN1, JUNG-YEON LEE1, JIHA SUNG1,2, HYUN JOO KIM3, SEYEON PARK1,2,*

    BIOCELL, Vol.47, No.7, pp. 1661-1673, 2023, DOI:10.32604/biocell.2023.027984 - 21 June 2023

    Abstract Background: Although the GABAA receptor (GABAAR) has been proposed as the main action site for sevoflurane, isoflurane, halothane, enflurane, propofol, and benzodiazepines (BZDs), binding of these anesthetics with high-resolution structures of the GABAAR have been rarely examined by comparative docking analyses. Moreover, various combinations of ligands on more GABAARs with various subtypes need to be analyzed to understand the elaborate action mechanism of GABAARs better because some GABAA ligands showed specificity toward the distinct subtypes of the GABAAR. Methods: We performed in silico docking analysis to compare the binding modes of sevoflurane, isoflurane, halothane, enflurane, propofol,… More >

  • Open Access

    ARTICLE

    In Vitro and in Silico Insights on the Biological Activities, Phenolic Compounds Composition of Hypericum perforatum L. Hairy Root Cultures

    Oliver Tusevski1,*, Marija Todorovska1, Jasmina Petreska Stanoeva2, Marina Stefova2, Sonja Gadzovska Simic1

    Phyton-International Journal of Experimental Botany, Vol.92, No.3, pp. 921-941, 2023, DOI:10.32604/phyton.2023.024995 - 29 November 2022

    Abstract Three Hypericum perforatum hairy root lines (HR B, HR F and HR H) along with non-transformed roots were analyzed for phenolic compounds composition and in vitro enzyme inhibitory properties. In silico molecular modeling was performed to predict the interactions of the most representative phenolic compounds in HR clones with enzymes related to depression, neurodegeneration and diabetes. Chromatographic analyses revealed that HR clones represent an efficient source of quinic acid and hydroxybenzoic acids, epicatechin and procyanidin derivatives, quercetin and kaempferol glycosides, as well numerous xanthones. In vitro antidepressant activity of HR extracts through monoamine oxidase A (MAO-A) inhibition was attributed… More >

  • Open Access

    ARTICLE

    Nuclear Stress-Strain State over Micropillars: A Mechanical In silico Study

    Rachele Allena1,*, Denis Aubry2

    Molecular & Cellular Biomechanics, Vol.19, No.1, pp. 1-16, 2022, DOI:10.32604/mcb.2022.018958 - 12 January 2022

    Abstract Cells adapt to their environment and stimuli of different origin. During confined migration through sub-cellular and sub-nuclear pores, they can undergo large strains and the nucleus, the most voluminous and the stiffest organelle, plays a critical role. Recently, patterned microfluidic devices have been employed to analyze the cell mechanical behavior and the nucleus self-deformations. In this paper, we present an in silico model to simulate the interactions between the cell and the underneath microstructured substrate under the effect of the sole gravity. The model lays on mechanical features only and it has the potential to assess… More >

  • Open Access

    ARTICLE

    Potential genomic biomarkers of obesity and its comorbidities for phthalates and bisphenol A mixture: In silico toxicogenomic approach

    KATARINA BARALIć1,*, KATARINA ŽIVANčEVIć1, DRAGICA BoŽIĆ1, DANYEL JENNEN2, ALEKSANDRA BUHA DJORDJEVIC1, EVICA ANTONIJEVIć MILJAKOVIć1, DANIJELA ĐUKIć-ĆOSIć1

    BIOCELL, Vol.46, No.2, pp. 519-533, 2022, DOI:10.32604/biocell.2022.018271 - 20 October 2021

    Abstract This in silico toxicogenomic study aims to explore the relationship between phthalates and bisphenol A (BPA) co-exposure and obesity, as well as its comorbid conditions, in order to construct a possible set of genomic biomarkers. The Comparative Toxicogenomics Database (CTD; http://ctd.mdibl.org) was used as the main data mining tool, along with GeneMania (https://genemania.org), ToppGene Suite (https://toppgene.cchmc.org) and DisGeNET (http://www.disgenet.org). Among the phthalates, bis(2-ethylhexyl) phthalate (DEHP) and dibutyl phthalate (DBP) were chosen as the most frequently curated phthalates in CTD, which also share similar mechanisms of toxicity. DEHP, DBP and BPA interacted with 84, 90 and 194… More >

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