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  1. AU="Srihansa, T."
  2. TI=Leveraging Remote Physiologic Monitoring in the COVID 19 Pandemic to Improve Care After Cardiovascular Hospitalizations

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  1. Artikel ; Online: Design of multi-epitope vaccine candidate against SARS-CoV-2: a

    Abraham Peele, K / Srihansa, T / Krupanidhi, S / Ayyagari, Vijaya Sai / Venkateswarulu, T C

    Journal of biomolecular structure & dynamics

    2020  Band 39, Heft 10, Seite(n) 3793–3801

    Abstract: The best therapeutic strategy to find an effective vaccine against SARS-CoV-2 is to explore the target structural protein. In the present study, a novel multi-epitope vaccine is designed ... ...

    Abstract The best therapeutic strategy to find an effective vaccine against SARS-CoV-2 is to explore the target structural protein. In the present study, a novel multi-epitope vaccine is designed using
    Mesh-Begriff(e) COVID-19/prevention & control ; COVID-19 Vaccines ; Epitopes, B-Lymphocyte/immunology ; Epitopes, T-Lymphocyte/immunology ; Humans ; Molecular Docking Simulation ; SARS-CoV-2 ; Spike Glycoprotein, Coronavirus/immunology ; Vaccines, Subunit
    Chemische Substanzen COVID-19 Vaccines ; Epitopes, B-Lymphocyte ; Epitopes, T-Lymphocyte ; Spike Glycoprotein, Coronavirus ; Vaccines, Subunit ; spike protein, SARS-CoV-2
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-06-01
    Erscheinungsland England
    Dokumenttyp Journal Article
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2020.1770127
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 2093: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
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  2. Artikel: Design of multi-epitope vaccine candidate against SARS-CoV-2: a in-silico study

    Abraham Peele, K / Srihansa, T / Krupanidhi, S / Vijaya Sai, A / Venkateswarulu, T C

    J Biomol Struct Dyn

    Abstract: The best therapeutic strategy to find an effective vaccine against SARS-CoV-2 is to explore the target structural protein. In the present study, a novel multi-epitope vaccine is designed using in silico tools that potentially trigger both CD4 and CD8 T- ... ...

    Abstract The best therapeutic strategy to find an effective vaccine against SARS-CoV-2 is to explore the target structural protein. In the present study, a novel multi-epitope vaccine is designed using in silico tools that potentially trigger both CD4 and CD8 T-cell immune responses against the novel Coronavirus. The vaccine candidate was designed using B and T-cell epitopes that can act as an immunogen and elicits immune response in the host system. NCBI was used for the retrieval of surface spike glycoprotein, of novel corona virus (SARS-CoV-2) strains. VaxiJen server screens the most important immunogen of all the proteins and IEDB server gives the prediction and analysis of B and T cell epitopes. Final vaccine construct was designed in silico composed of 425 amino acids including the 50S ribosomal protein adjuvant and the construct was computationally validated in terms of antigenicity, allergenicity and stability on considering all critical parameters into consideration. The results subjected to the modeling and docking studies of vaccine were validated. Molecular docking study revealed the protein-protein binding interactions between the vaccine construct and TLR-3 immune receptor. The MD simulations confirmed stability of the binding pose. The immune simulation results showed significant response for immune cells. The findings of the study confirmed that the final vaccine construct of chimeric peptide could able to enhance the immune response against nCoV-19.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #379808
    Datenquelle COVID19

    Kategorien

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  3. Artikel: Design of multi-epitope vaccine candidate against SARS-CoV-2: a in-silico study

    Abraham Peele, K / Srihansa, T / Krupanidhi, S / Ayyagari, Vijaya Sai / Venkateswarulu, T C

    J Biomol Struct Dyn

    Abstract: The best therapeutic strategy to find an effective vaccine against SARS-CoV-2 is to explore the target structural protein. In the present study, a novel multi-epitope vaccine is designed using in silico tools that potentially trigger both CD4 and CD8 T- ... ...

    Abstract The best therapeutic strategy to find an effective vaccine against SARS-CoV-2 is to explore the target structural protein. In the present study, a novel multi-epitope vaccine is designed using in silico tools that potentially trigger both CD4 and CD8 T-cell immune responses against the novel Coronavirus. The vaccine candidate was designed using B and T-cell epitopes that can act as an immunogen and elicits immune response in the host system. NCBI was used for the retrieval of surface spike glycoprotein, of novel corona virus (SARS-CoV-2) strains. VaxiJen server screens the most important immunogen of all the proteins and IEDB server gives the prediction and analysis of B and T cell epitopes. Final vaccine construct was designed in silico composed of 425 amino acids including the 50S ribosomal protein adjuvant and the construct was computationally validated in terms of antigenicity, allergenicity and stability on considering all critical parameters into consideration. The results subjected to the modeling and docking studies of vaccine were validated. Molecular docking study revealed the protein-protein binding interactions between the vaccine construct and TLR-3 immune receptor. The MD simulations confirmed stability of the binding pose. The immune simulation results showed significant response for immune cells. The findings of the study confirmed that the final vaccine construct of chimeric peptide could able to enhance the immune response against nCoV-19.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #379808
    Datenquelle COVID19

    Kategorien

    Fernleihe an ZB MED

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  4. Artikel ; Online: Design of multi-epitope vaccine candidate against SARS-CoV-2

    Abraham Peele, K. / Srihansa, T. / Krupanidhi, S. / Ayyagari, Vijaya Sai / Venkateswarulu, T. C.

    Journal of Biomolecular Structure and Dynamics

    a in-silico study

    2020  , Seite(n) 1–9

    Schlagwörter Molecular Biology ; Structural Biology ; General Medicine ; covid19
    Sprache Englisch
    Verlag Informa UK Limited
    Erscheinungsland uk
    Dokumenttyp Artikel ; Online
    ZDB-ID 49157-3
    ISSN 1538-0254 ; 0739-1102
    ISSN (online) 1538-0254
    ISSN 0739-1102
    DOI 10.1080/07391102.2020.1770127
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

    Zusatzmaterialien

    Kategorien

    Verfügbar in ZB MED Köln/Königswinter

    Zs.A 2093: Hefte anzeigen Standort:
    Je nach Verfügbarkeit (siehe Angabe bei Bestand)
    bis Jg. 1994: Bestellungen von Artikeln über das Online-Bestellformular
    Jg. 1995 - 2021: Lesesall (1.OG)
    ab Jg. 2022: Lesesaal (EG)

    Über subito bestellen

    Dieser Service ist kostenpflichtig (siehe Lieferbedingungen von subito). Bestellungen, die einen Artikel nebst Supplementary Material umfassen, werden grundsätzlich wie mehrfache Bestellungen bearbeitet. Gebühren fallen in diesen Fällen für jede einzelne Bestellung an.

  5. Artikel: Molecular docking and dynamic simulations for antiviral compounds against SARS-CoV-2: A computational study.

    Peele, K Abraham / Potla Durthi, Chandrasai / Srihansa, T / Krupanidhi, S / Ayyagari, Vijaya Sai / Babu, D John / Indira, M / Reddy, A Ranganadha / Venkateswarulu, T C

    Informatics in medicine unlocked

    2020  Band 19, Seite(n) 100345

    Abstract: The aim of this study was to develop an appropriate anti-viral drug against the SARS-CoV-2 virus. An immediately qualifying strategy would be to use existing powerful drugs from various virus treatments. The strategy in virtual screening of antiviral ... ...

    Abstract The aim of this study was to develop an appropriate anti-viral drug against the SARS-CoV-2 virus. An immediately qualifying strategy would be to use existing powerful drugs from various virus treatments. The strategy in virtual screening of antiviral databases for possible therapeutic effect would be to identify promising drug molecules, as there is currently no vaccine or treatment approved against COVID-19. Targeting the main protease (pdb id: 6LU7) is gaining importance in anti-CoV drug design. In this conceptual context, an attempt has been made to suggest an
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-05-11
    Erscheinungsland England
    Dokumenttyp Journal Article
    ISSN 2352-9148
    ISSN 2352-9148
    DOI 10.1016/j.imu.2020.100345
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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    Fernleihe an ZB MED

    Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

  6. Artikel: Molecular docking and dynamic simulations for antiviral compounds against SARS-CoV-2: A computational study

    Peele, K Abraham / Chandrasai, P / Srihansa, T / Krupanidhi, S / Sai, A Vijaya / Babu, D John / Indira, M / Reddy, A Ranganadha / Venkateswarulu, T C

    Inform Med Unlocked

    Abstract: The aim of this study was to develop an appropriate anti-viral drug against the SARS-CoV-2 virus. An immediately qualifying strategy would be to use existing powerful drugs from various virus treatments. The strategy in virtual screening of antiviral ... ...

    Abstract The aim of this study was to develop an appropriate anti-viral drug against the SARS-CoV-2 virus. An immediately qualifying strategy would be to use existing powerful drugs from various virus treatments. The strategy in virtual screening of antiviral databases for possible therapeutic effect would be to identify promising drug molecules, as there is currently no vaccine or treatment approved against COVID-19. Targeting the main protease (pdb id: 6LU7) is gaining importance in anti-CoV drug design. In this conceptual context, an attempt has been made to suggest an in silico computational relationship between US-FDA approved drugs, plant-derived natural drugs, and Coronavirus main protease (6LU7) protein. The evaluation of results was made based on Glide (Schrödinger) dock score. Out of 62 screened compounds, the best docking scores with the targets were found for compounds: lopinavir, amodiaquine, and theaflavin digallate (TFDG). Molecular dynamic (MD) simulation study was also performed for 20 ns to confirm the stability behaviour of the main protease and inhibitor complexes. The MD simulation study validated the stability of three compounds in the protein binding pocket as potent binders.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #232576
    Datenquelle COVID19

    Kategorien

    Fernleihe an ZB MED

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  7. Artikel ; Online: Molecular docking and dynamic simulations for antiviral compounds against SARS-CoV-2

    Peele, K. Abraham / Potla Durthi, Chandrasai / Srihansa, T. / Krupanidhi, S. / Ayyagari, Vijaya Sai / Babu, D. John / Indira, M. / Reddy, A. Ranganadha / Venkateswarulu, T.C.

    Informatics in Medicine Unlocked

    A computational study

    2020  Band 19, Seite(n) 100345

    Schlagwörter covid19
    Sprache Englisch
    Verlag Elsevier BV
    Erscheinungsland us
    Dokumenttyp Artikel ; Online
    ISSN 2352-9148
    DOI 10.1016/j.imu.2020.100345
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

    Volltext online

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    Sie können sich den gewünschten Titel als lokale Nutzerin oder lokaler Nutzer von ZB MED direkt an den Standort Köln schicken lassen.

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