Showing 1,081 - 1,100 results of 16,050 for search '"molecular"', query time: 0.07s Refine Results
  1. 1081

    CuCl Complexation in the Vapor Phase: Insights from Ab Initio Molecular Dynamics Simulations by Yuan Mei, Weihua Liu, A. A. Migdiov, Joël Brugger, A. E. Williams-Jones

    Published 2018-01-01
    “…We investigated the hydration of the CuCl0 complex in HCl-bearing water vapor at 350°C and a vapor-like fluid density between 0.02 and 0.09 g/cm3 using ab initio molecular dynamics (MD) simulations. The simulations reveal that one water molecule is strongly bonded to Cu(I) (first coordination shell), forming a linear [H2O-Cu-Cl]0 moiety. …”
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  2. 1082

    CHEMOTYPE VERBOCCIDENTAFURAN IN Baccharis punctulata (Asteraceae): FURANIC SESQUITERPENES CORRELATION AND MOLECULAR DOCKING INTO THE BENZODIAZEPINE RECEPTOR by Jociani Ascari, Murilo S. de Oliveira, André L. Rüdiger, Elaine Elisabetsky, Domingos S. Nunes, Jorge Iulek, Dilamara R. Scharf, Gustavo Heiden

    Published 2025-01-01
    “…The furanocadinan-type sesquiterpenes verboccidentafuran (1) and curzerene (2) have molecular descriptors with high similarities. Compound 2, found in Eugenia uniflora L. …”
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  3. 1083

    Study of Phenotypic and Molecular Approaches of Potyvirus plumpoxi Resistance Evaluation in New Czech Apricot Hybrids by Eliška Zezulová, Tomáš Kiss, Kateřina Baránková, Tomáš Nečas

    Published 2025-01-01
    “…This study investigates the resistance of 17 apricot hybrids to Potyvirus plumpoxi (PPV) with the use of phenotyping, serological assays [double-antibody-sandwich enzyme-linked immunosorbent assay (DAS-ELISA)], and molecular marker analyses. The expression of symptoms expression was evaluated on four occasions throughout the course of the experiment, while the presence of the virus in the plant was diagnosed by DAS-ELISA. …”
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  4. 1084
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  6. 1086

    Genotypic difference in response to copper stress in upland cotton as revealed by physiological and molecular expression analyses by Jianfei Wu, Tao Wang, Yin Huang, Shuiping Xiao, Xiaoxia Luo, Yanfeng Deng, Xiu Yang, Qingquan Kong, Feiyu Tang

    Published 2025-01-01
    “…Then both lines were subjected to a comprehensive comparative study, aiming to unravel the cotton Cu tolerance mechanism through integrated morphological, physio-biochemical, Cu uptake and distribution, and related molecular expression analyses. Results Based on the phenotypic values and corresponding tolerance indexes of 12 parameters, A2304 and A1415 were identified as Cu-tolerant and -sensitive, respectively. …”
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  7. 1087
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  11. 1091

    Modeling a Mechanical Molecular Spring Isolator with High-Static-Low-Dynamic-Stiffness Properties by Zhanyong Li, Qian Chen, Fengshou Gu, Andrew Ball

    Published 2020-01-01
    “…A mechanical molecular spring isolator (MMSI) is proposed for the purpose of isolating the low-frequency vibration of a heavy payload. …”
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  12. 1092

    Estimation of Indole-3-Acetic Acid Production from New Molecularly Characterized Rhizobacterial Strains by Mohammed Ayad Harbawi, Najwa Ibrahim Khaleel Al-Barhawee

    Published 2025-01-01
    “…On the other hand, the results showed that root colonizing bacteria could produce different amounts of indole-3-acetic acid (IAA). Molecular analysis tests based on the 16S rRNA primer gene were carried out to characterize the isolated bacteria at the molecular level and showed 99% homology with Azotobacter tropicalis SC39, Azotobacter chroococcum A11, Bacillus subtilis N22 and Ralstonia pickettii ULM005, which are registered worldwide in GenBank. …”
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  13. 1093

    Combining Microarray Technology and Molecular Epidemiology to Identify Genes Associated with Invasive Group B Streptococcus by Lixin Zhang, Usha Reddi, Usha Srinivasan, Sheng Li, Stephanie M. Borchardt, Parvathy Pillai, Puja Mehta, Anne N. Styka, Joan DeBusscher, Carl F. Marrs, Betsy Foxman

    Published 2008-01-01
    “…Many bacterial species function as both commensals and pathogens; we used this dual nature to develop a high-throughput molecular epidemiological approach to identifying bacterial virulence genes. …”
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  14. 1094
  15. 1095

    Clinicopathological and Sero-Molecular Detection of Mycoplasma capricolum subsp. capripneumoniae in Goats in Southern Areas of Pakistan by Faiz Ur Rehman, Farhan Anwar Khan, Muhammad Saeed, Mehboob Ali, Hayatullah Khan, Faisal Ahmad, Qudrat Ullah

    Published 2022-01-01
    “…Therefore, this study aimed to elucidate sero-molecular epidemiology and pathology associated with Mccp infection in goats in southern areas of KP including Dera Ismail Khan (DI Khan), Bannu, Karak, and Kohat. …”
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  16. 1096

    The oncogenic roles of GPR176 in ovarian cancer: a molecular target for aggressiveness and gene therapy by Ning Yang, Wen-jing Yun, Zheng-guo Cui, Hua-chuan Zheng

    Published 2024-12-01
    “…However, the expression of GPR176 and the molecular mechanisms in ovarian cancer had not been investigated.Methods GPR176 expression was compared with clinicopathological features of ovarian cancer using immunohistochemical and bioinformatics analyses. …”
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  17. 1097

    Cortical arealization of interneurons defines shared and distinct molecular programs in developing human and macaque brains by Xiangling Feng, Yingjie Gao, Fan Chu, Yuwen Shan, Meicheng Liu, Yaoyi Wang, Ying Zhu, Qing Lu, Mingfeng Li

    Published 2025-01-01
    “…Abstract Cortical interneurons generated from ganglionic eminence via a long-distance journey of tangential migration display evident cellular and molecular differences across brain regions, which seeds the heterogeneous cortical circuitry in primates. …”
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  18. 1098
  19. 1099

    Molecular Crosstalking among Noncoding RNAs: A New Network Layer of Genome Regulation in Cancer by Marco Ragusa, Cristina Barbagallo, Duilia Brex, Angela Caponnetto, Matilde Cirnigliaro, Rosalia Battaglia, Davide Barbagallo, Cinzia Di Pietro, Michele Purrello

    Published 2017-01-01
    “…However, recent evidence has shown the existence of an unexpected interplay among ncRNAs that strongly influences cancer development and progression. ncRNAs can interact with and regulate each other through various molecular mechanisms generating a complex network including different species of RNAs (e.g., mRNAs, miRNAs, lncRNAs, and circRNAs). …”
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