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  1. Article ; Online: Computational Modeling and Characterization of Peptides Derived from Nanobody Complementary-Determining Region 2 (CDR2) Targeting Active-State Conformation of the β

    Sencanski, Milan / Glisic, Sanja / Kubale, Valentina / Cotman, Marko / Mavri, Janez / Vrecl, Milka

    Biomolecules

    2024  Volume 14, Issue 4

    Abstract: This study assessed the suitability of the complementarity-determining region 2 (CDR2) of the nanobody (Nb) as a template for the derivation of nanobody-derived peptides (NDPs) targeting active-state ... ...

    Abstract This study assessed the suitability of the complementarity-determining region 2 (CDR2) of the nanobody (Nb) as a template for the derivation of nanobody-derived peptides (NDPs) targeting active-state β
    MeSH term(s) Receptors, Adrenergic, beta-2/metabolism ; Receptors, Adrenergic, beta-2/chemistry ; Humans ; Single-Domain Antibodies/chemistry ; Single-Domain Antibodies/pharmacology ; Single-Domain Antibodies/metabolism ; Molecular Dynamics Simulation ; Peptides/chemistry ; Peptides/pharmacology ; Peptides/metabolism ; Complementarity Determining Regions/chemistry ; Molecular Docking Simulation ; Protein Binding ; Amino Acid Sequence ; Protein Conformation ; Cyclic AMP/metabolism
    Chemical Substances Receptors, Adrenergic, beta-2 ; Single-Domain Antibodies ; Peptides ; Complementarity Determining Regions ; Cyclic AMP (E0399OZS9N)
    Language English
    Publishing date 2024-03-30
    Publishing country Switzerland
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2701262-1
    ISSN 2218-273X ; 2218-273X
    ISSN (online) 2218-273X
    ISSN 2218-273X
    DOI 10.3390/biom14040423
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Novel Entropy-Based Phylogenetic Algorithm: A New Approach for Classifying SARS-CoV-2 Variants.

    Perovic, Vladimir / Glisic, Sanja / Veljkovic, Milena / Paessler, Slobodan / Veljkovic, Veljko

    Entropy (Basel, Switzerland)

    2023  Volume 25, Issue 10

    Abstract: The SARS-CoV-2 virus, the causative agent of COVID-19, is known for its genetic diversity. Virus variants of concern (VOCs) as well as variants of interest (VOIs) are classified by the World Health Organization (WHO) according to their potential risk to ... ...

    Abstract The SARS-CoV-2 virus, the causative agent of COVID-19, is known for its genetic diversity. Virus variants of concern (VOCs) as well as variants of interest (VOIs) are classified by the World Health Organization (WHO) according to their potential risk to global health. This study seeks to enhance the identification and classification of such variants by developing a novel bioinformatics criterion centered on the virus's spike protein (SP1), a key player in host cell entry, immune response, and a mutational hotspot. To achieve this, we pioneered a unique phylogenetic algorithm which calculates EIIP-entropy as a distance measure based on the distribution of the electron-ion interaction potential (EIIP) of amino acids in SP1. This method offers a comprehensive, scalable, and rapid approach to analyze large genomic data sets and predict the impact of specific mutations. This innovative approach provides a robust tool for classifying emergent SARS-CoV-2 variants into potential VOCs or VOIs. It could significantly augment surveillance efforts and understanding of variant characteristics, while also offering potential applicability to the analysis and classification of other emerging viral pathogens and enhancing global readiness against emerging and re-emerging viral pathogens.
    Language English
    Publishing date 2023-10-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2014734-X
    ISSN 1099-4300 ; 1099-4300
    ISSN (online) 1099-4300
    ISSN 1099-4300
    DOI 10.3390/e25101463
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Simple Theoretical Criterion for Selection of Natural Compounds with Anti-COVID-19 Activity.

    Veljkovic, Veljko / Glisic, Sanja / Perovic, Vladimir / Veljkovic, Milena / Paessler, Slobodan

    Frontiers in bioscience (Landmark edition)

    2022  Volume 27, Issue 5, Page(s) 152

    Abstract: Background: A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become the leading threat to global health. An effective antiviral could not only help those still vulnerable to the virus but could be a critical ... ...

    Abstract Background: A novel human coronavirus, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has become the leading threat to global health. An effective antiviral could not only help those still vulnerable to the virus but could be a critical treatment if a virus emerges toward evading coronavirus disease 2019 (COVID-19) vaccines. Despite the significant efforts to test already-approved drugs for their potential to kill the virus, researchers found very few actually worked.
    Methods: The present report uses the electronic molecular descriptors, the quasi-valence number (AQVN), and the electron-ion interaction potential (EIIP), for the analysis of natural compounds with proven therapeutic activity against the COVID-19.
    Results: Based on the analysis of the electronic properties of natural compounds which are effective against SARS-CoV-2 virus the simple theoretical criterion for the selection of candidate compounds for the treatment of COVID-19 is proposed.
    Conclusions: The proposed theoretical criterion can be used for the identification and optimization of new lead compounds for the treatment of the COVID-19 disease and for the selection of the food and food supplements which could have a beneficial effect on COVID-19 patients.
    MeSH term(s) Antiviral Agents/pharmacology ; Antiviral Agents/therapeutic use ; COVID-19/drug therapy ; COVID-19 Vaccines ; Humans ; SARS-CoV-2
    Chemical Substances Antiviral Agents ; COVID-19 Vaccines
    Language English
    Publishing date 2022-05-30
    Publishing country Singapore
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2704569-9
    ISSN 2768-6698 ; 2768-6698
    ISSN (online) 2768-6698
    ISSN 2768-6698
    DOI 10.31083/j.fbl2705152
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: In Silico Screening of Natural Compounds for Candidates 5HT6 Receptor Antagonists against Alzheimer's Disease.

    Bojić, Tijana / Sencanski, Milan / Perovic, Vladimir / Milicevic, Jelena / Glisic, Sanja

    Molecules (Basel, Switzerland)

    2022  Volume 27, Issue 9

    Abstract: Alzheimer's disease (AD), a devastating neurodegenerative disease, is the focus of pharmacological research. One of the targets that attract the most attention for the potential therapy of AD is the serotonin 5HT6 receptor, which is the receptor situated ...

    Abstract Alzheimer's disease (AD), a devastating neurodegenerative disease, is the focus of pharmacological research. One of the targets that attract the most attention for the potential therapy of AD is the serotonin 5HT6 receptor, which is the receptor situated exclusively in CNS on glutamatergic and GABAergic neurons. The neurochemical impact of this receptor supports the hypothesis about its role in cognitive, learning, and memory systems, which are of critical importance for AD. Natural products are a promising source of novel bioactive compounds with potential therapeutic potential as a 5HT6 receptor antagonist in the treatment of AD dementia. The ZINC-natural product database was in silico screened in order to find the candidate antagonists of 5-HT6 receptor against AD. A virtual screening protocol that includes both short-and long-range interactions between interacting molecules was employed. First, the EIIP/AQVN filter was applied for in silico screening of the ZINC database followed by 3D QSAR and molecular docking. Ten best candidate compounds were selected from the ZINC Natural Product database as potential 5HT6 Receptor antagonists and were proposed for further evaluation. The best candidate was evaluated by molecular dynamics simulations and free energy calculations.
    MeSH term(s) Alzheimer Disease/drug therapy ; Biological Products/chemistry ; Biological Products/pharmacology ; Biological Products/therapeutic use ; Humans ; Molecular Docking Simulation ; Molecular Dynamics Simulation ; Neurodegenerative Diseases ; Receptors, Serotonin ; Zinc/therapeutic use
    Chemical Substances Biological Products ; Receptors, Serotonin ; serotonin 6 receptor ; Zinc (J41CSQ7QDS)
    Language English
    Publishing date 2022-04-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 1413402-0
    ISSN 1420-3049 ; 1431-5165 ; 1420-3049
    ISSN (online) 1420-3049
    ISSN 1431-5165 ; 1420-3049
    DOI 10.3390/molecules27092626
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.MO 81: Show issues

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  5. Article ; Online: In Silico and In Vitro Inhibition of SARS-CoV-2 PL

    Protić, Sara / Kaličanin, Nevena / Sencanski, Milan / Prodanović, Olivera / Milicevic, Jelena / Perovic, Vladimir / Paessler, Slobodan / Prodanović, Radivoje / Glisic, Sanja

    International journal of molecular sciences

    2023  Volume 24, Issue 3

    Abstract: Finding an effective drug to prevent or treat COVID-19 is of utmost importance in tcurrent pandemic. Since developing a new treatment takes a significant amount of time, drug repurposing can be an effective option for achieving a rapid response. This ... ...

    Abstract Finding an effective drug to prevent or treat COVID-19 is of utmost importance in tcurrent pandemic. Since developing a new treatment takes a significant amount of time, drug repurposing can be an effective option for achieving a rapid response. This study used a combined in silico virtual screening protocol for candidate SARS-CoV-2 PL
    MeSH term(s) Humans ; SARS-CoV-2 ; Gramicidin ; COVID-19 ; Molecular Docking Simulation ; Databases, Factual ; Protease Inhibitors/pharmacology ; Antiviral Agents/pharmacology
    Chemical Substances Gramicidin (1405-97-6) ; Protease Inhibitors ; Antiviral Agents
    Language English
    Publishing date 2023-01-19
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24031955
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Inhibition of SARS-CoV-2 M

    Đukić, Ivana / Kaličanin, Nevena / Sencanski, Milan / Pajovic, Snezana B / Milicevic, Jelena / Prljic, Jelena / Paessler, Slobodan / Prodanović, Radivoje / Glisic, Sanja

    Frontiers in bioscience (Landmark edition)

    2023  Volume 28, Issue 1, Page(s) 8

    Abstract: Background: Drug resistance is a critical problem in health care that affects therapy outcomes and requires new approaches to drug design. SARS-CoV-2 Mpro mutations are of concern as they can potentially reduce therapeutic efficacy. Viral infections are ...

    Abstract Background: Drug resistance is a critical problem in health care that affects therapy outcomes and requires new approaches to drug design. SARS-CoV-2 Mpro mutations are of concern as they can potentially reduce therapeutic efficacy. Viral infections are amongst the many disorders for which nutraceuticals have been employed as an adjunct therapy. The aim of this study was to examine the potential
    Methods: The Mpro inhibition assay was developed by cloning, expression, purification, and characterization of Mpro. Selected compounds were then screened for protease inhibition.
    Results: L-arginine was found to be active against SARS-CoV-2 Mpro, while a vitamin C/L-arginine combination had a synergistic antiviral action against Mpro. These findings confirm the results of our previous
    Conclusions: The findings of the current study are important because they help to identify COVID-19 treatments that are efficient, inexpensive, and have a favorable safety profile. The results of this study also suggest a possible adjuvant nutritional strategy for COVID-19 that could be used in conjunction with pharmacological agents.
    MeSH term(s) Humans ; Arginine/pharmacology ; Ascorbic Acid/pharmacology ; COVID-19 ; Dietary Supplements ; SARS-CoV-2/drug effects ; Coronavirus 3C Proteases/antagonists & inhibitors
    Chemical Substances Arginine (94ZLA3W45F) ; Ascorbic Acid (PQ6CK8PD0R) ; 3C-like proteinase, SARS-CoV-2 (EC 3.4.22.-) ; Coronavirus 3C Proteases (EC 3.4.22.28)
    Language English
    Publishing date 2023-01-31
    Publishing country Singapore
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2704569-9
    ISSN 2768-6698 ; 2768-6698
    ISSN (online) 2768-6698
    ISSN 2768-6698
    DOI 10.31083/j.fbl2801008
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: In Silico Investigation of Selected Pesticides and Their Determination in Agricultural Products Using QuEChERS Methodology and HPLC-DAD.

    Petrović, Stefan / Arsić, Biljana / Zlatanović, Ivana / Milićević, Jelena / Glišić, Sanja / Mitić, Milan / Đurović-Pejčev, Rada / Stojanović, Gordana

    International journal of molecular sciences

    2023  Volume 24, Issue 9

    Abstract: In this study, we considered some pesticides as active substances within formulations for the protection of plant-based food in the Republic of Serbia in silico, because these pesticides have not often been investigated in this way previously, and in an ... ...

    Abstract In this study, we considered some pesticides as active substances within formulations for the protection of plant-based food in the Republic of Serbia in silico, because these pesticides have not often been investigated in this way previously, and in an analytical way, because there are not very many available fast, cheap, and easy methods for their determination in real agricultural samples. Seven pesticides were detected in selected agricultural products (tomatoes, cucumbers, peppers, and grapes) using the QuEChERS methodology and HPLC-DAD. Standard curves for the investigated pesticides (chlorantraniliprole, methomyl, metalaxyl, thiacloprid, acetamiprid, emamectin benzoate, and cymoxanil) show good linearity, with R
    MeSH term(s) Humans ; Pesticides/chemistry ; Chromatography, High Pressure Liquid/methods ; Molecular Docking Simulation ; ortho-Aminobenzoates ; Pesticide Residues/analysis
    Chemical Substances Pesticides ; chlorantranilipole (622AK9DH9G) ; ortho-Aminobenzoates ; Pesticide Residues
    Language English
    Publishing date 2023-04-28
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2019364-6
    ISSN 1422-0067 ; 1422-0067 ; 1661-6596
    ISSN (online) 1422-0067
    ISSN 1422-0067 ; 1661-6596
    DOI 10.3390/ijms24098003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Patterns of human and porcine gammaherpesvirus-encoded BILF1 receptor endocytosis.

    Mavri, Maša / Glišić, Sanja / Senćanski, Milan / Vrecl, Milka / Rosenkilde, Mette M / Spiess, Katja / Kubale, Valentina

    Cellular & molecular biology letters

    2023  Volume 28, Issue 1, Page(s) 14

    Abstract: Background: The viral G-protein-coupled receptor (vGPCR) BILF1 encoded by the Epstein-Barr virus (EBV) is an oncogene and immunoevasin and can downregulate MHC-I molecules at the surface of infected cells. MHC-I downregulation, which presumably occurs ... ...

    Abstract Background: The viral G-protein-coupled receptor (vGPCR) BILF1 encoded by the Epstein-Barr virus (EBV) is an oncogene and immunoevasin and can downregulate MHC-I molecules at the surface of infected cells. MHC-I downregulation, which presumably occurs through co-internalization with EBV-BILF1, is preserved among BILF1 receptors, including the three BILF1 orthologs encoded by porcine lymphotropic herpesviruses (PLHV BILFs). This study aimed to understand the detailed mechanisms of BILF1 receptor constitutive internalization, to explore the translational potential of PLHV BILFs compared with EBV-BILF1.
    Methods: A novel real-time fluorescence resonance energy transfer (FRET)-based internalization assay combined with dominant-negative variants of dynamin-1 (Dyn K44A) and the chemical clathrin inhibitor Pitstop2 in HEK-293A cells was used to study the effect of specific endocytic proteins on BILF1 internalization. Bioluminescence resonance energy transfer (BRET)-saturation analysis was used to study BILF1 receptor interaction with β-arrestin2 and Rab7. In addition, a bioinformatics approach informational spectrum method (ISM) was used to investigate the interaction affinity of BILF1 receptors with β-arrestin2, AP-2, and caveolin-1.
    Results: We identified dynamin-dependent, clathrin-mediated constitutive endocytosis for all BILF1 receptors. The observed interaction affinity between BILF1 receptors and caveolin-1 and the decreased internalization in the presence of a dominant-negative variant of caveolin-1 (Cav S80E) indicated the involvement of caveolin-1 in BILF1 trafficking. Furthermore, after BILF1 internalization from the plasma membrane, both the recycling and degradation pathways are proposed for BILF1 receptors.
    Conclusions: The similarity in the internalization mechanisms observed for EBV-BILF1 and PLHV1-2 BILF1 provide a foundation for further studies exploring a possible translational potential for PLHVs, as proposed previously, and provides new information about receptor trafficking.
    MeSH term(s) Animals ; Humans ; Caveolin 1/metabolism ; Clathrin/metabolism ; Endocytosis ; Epstein-Barr Virus Infections ; Herpesvirus 4, Human/metabolism ; Receptors, G-Protein-Coupled/metabolism ; Swine ; Viral Proteins/metabolism
    Chemical Substances Caveolin 1 ; Clathrin ; Receptors, G-Protein-Coupled ; BILF1 protein, Epstein-Barr virus ; Viral Proteins
    Language English
    Publishing date 2023-02-21
    Publishing country England
    Document type Letter
    ZDB-ID 2108724-6
    ISSN 1689-1392 ; 1689-1392
    ISSN (online) 1689-1392
    ISSN 1689-1392
    DOI 10.1186/s11658-023-00427-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Correction: Patterns of human and porcine gammaherpesvirus-encoded BILF1 receptor endocytosis.

    Mavri, Maša / Glišić, Sanja / Senćanski, Milan / Vrecl, Milka / Rosenkilde, Mette M / Spiess, Katja / Kubale, Valentina

    Cellular & molecular biology letters

    2023  Volume 28, Issue 1, Page(s) 94

    Language English
    Publishing date 2023-11-24
    Publishing country England
    Document type Published Erratum
    ZDB-ID 2108724-6
    ISSN 1689-1392 ; 1689-1392
    ISSN (online) 1689-1392
    ISSN 1689-1392
    DOI 10.1186/s11658-023-00512-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: Retraction of: The Effect of a Gender Difference in the Apolipoprotein E Gene DNA Polymorphism on Serum Lipid Levels in a Serbian Healthy Population.

    Stanković, Sanja / Glišić, Sanja / Alavanatić, Dragan

    Clinical chemistry and laboratory medicine

    2019  Volume 58, Issue 3, Page(s) e94

    Language English
    Publishing date 2019-12-06
    Publishing country Germany
    Document type Journal Article ; Retraction of Publication
    ZDB-ID 1418007-8
    ISSN 1437-4331 ; 1434-6621 ; 1437-8523
    ISSN (online) 1437-4331
    ISSN 1434-6621 ; 1437-8523
    DOI 10.1515/cclm-2019-8899
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.A 121: Show issues Location:
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    Jg. 1995 - 2021: Lesesall (1.OG)
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