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  1. Artikel ; Online: The Mutation Profile of SARS-CoV-2 Is Primarily Shaped by the Host Antiviral Defense.

    Azgari, Cem / Kilinc, Zeynep / Turhan, Berk / Circi, Defne / Adebali, Ogun

    Viruses

    2021  Band 13, Heft 3

    Abstract: Understanding SARS-CoV-2 evolution is a fundamental effort in coping with the COVID-19 pandemic. The virus genomes have been broadly evolving due to the high number of infected hosts world-wide. Mutagenesis and selection are two inter-dependent ... ...

    Abstract Understanding SARS-CoV-2 evolution is a fundamental effort in coping with the COVID-19 pandemic. The virus genomes have been broadly evolving due to the high number of infected hosts world-wide. Mutagenesis and selection are two inter-dependent mechanisms of virus diversification. However, which mechanisms contribute to the mutation profiles of SARS-CoV-2 remain under-explored. Here, we delineate the contribution of mutagenesis and selection to the genome diversity of SARS-CoV-2 isolates. We generated a comprehensive phylogenetic tree with representative genomes. Instead of counting mutations relative to the reference genome, we identified each mutation event at the nodes of the phylogenetic tree. With this approach, we obtained the mutation events that are independent of each other and generated the mutation profile of SARS-CoV-2 genomes. The results suggest that the heterogeneous mutation patterns are mainly reflections of host (i) antiviral mechanisms that are achieved through APOBEC, ADAR, and ZAP proteins, and (ii) probable adaptation against reactive oxygen species.
    Mesh-Begriff(e) Base Sequence ; COVID-19/genetics ; COVID-19/immunology ; COVID-19/virology ; Codon/genetics ; Evolution, Molecular ; Genome, Viral ; Humans ; Mutation ; Pandemics ; Phylogeny ; SARS-CoV-2/classification ; SARS-CoV-2/genetics ; SARS-CoV-2/immunology
    Chemische Substanzen Codon
    Sprache Englisch
    Erscheinungsdatum 2021-03-02
    Erscheinungsland Switzerland
    Dokumenttyp Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 2516098-9
    ISSN 1999-4915 ; 1999-4915
    ISSN (online) 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v13030394
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  2. Artikel: The Mutation Profile of SARS-CoV-2 Is Primarily Shaped by the Host Antiviral Defense

    Azgari, Cem / Kilinc, Zeynep / Turhan, Berk / Circi, Defne / Adebali, Ogun

    Viruses. 2021 Mar. 02, v. 13, no. 3

    2021  

    Abstract: Understanding SARS-CoV-2 evolution is a fundamental effort in coping with the COVID-19 pandemic. The virus genomes have been broadly evolving due to the high number of infected hosts world-wide. Mutagenesis and selection are two inter-dependent ... ...

    Abstract Understanding SARS-CoV-2 evolution is a fundamental effort in coping with the COVID-19 pandemic. The virus genomes have been broadly evolving due to the high number of infected hosts world-wide. Mutagenesis and selection are two inter-dependent mechanisms of virus diversification. However, which mechanisms contribute to the mutation profiles of SARS-CoV-2 remain under-explored. Here, we delineate the contribution of mutagenesis and selection to the genome diversity of SARS-CoV-2 isolates. We generated a comprehensive phylogenetic tree with representative genomes. Instead of counting mutations relative to the reference genome, we identified each mutation event at the nodes of the phylogenetic tree. With this approach, we obtained the mutation events that are independent of each other and generated the mutation profile of SARS-CoV-2 genomes. The results suggest that the heterogeneous mutation patterns are mainly reflections of host (i) antiviral mechanisms that are achieved through APOBEC, ADAR, and ZAP proteins, and (ii) probable adaptation against reactive oxygen species.
    Schlagwörter COVID-19 infection ; Severe acute respiratory syndrome coronavirus 2 ; genome ; mutagenesis ; phylogeny ; reactive oxygen species ; viruses
    Sprache Englisch
    Erscheinungsverlauf 2021-0302
    Erscheinungsort Multidisciplinary Digital Publishing Institute
    Dokumenttyp Artikel
    Anmerkung NAL-light
    ZDB-ID 2516098-9
    ISSN 1999-4915
    ISSN 1999-4915
    DOI 10.3390/v13030394
    Datenquelle NAL Katalog (AGRICOLA)

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  3. Artikel ; Online: The mutation profile of SARS-CoV-2 is primarily shaped by the host antiviral defense

    Azgari, Cem / Kilinc, Zeynep / Turhan, Berk / Circi, Defne / Adebali, Ogun

    bioRxiv

    Abstract: Understanding SARS-CoV-2 evolution is a fundamental effort in coping with the COVID-19 pandemic. The virus genomes have been broadly evolving due to the high number of infected hosts world-wide. Mutagenesis and selection are the two inter-dependent ... ...

    Abstract Understanding SARS-CoV-2 evolution is a fundamental effort in coping with the COVID-19 pandemic. The virus genomes have been broadly evolving due to the high number of infected hosts world-wide. Mutagenesis and selection are the two inter-dependent mechanisms of virus diversification. However, which mechanisms contribute to the mutation profiles of SARS-CoV-2 remain under-explored. Here, we delineate the contribution of mutagenesis and selection to the genome diversity of SARS-CoV-2 isolates. We generated a comprehensive phylogenetic tree with representative genomes. Instead of counting mutations relative to the reference genome, we identified each mutation event at the nodes of the phylogenetic tree. With this approach, we obtained the mutation events that are independent of each other and generated the mutation profile of SARS-CoV-2 genomes. The results suggest that the heterogeneous mutation patterns are mainly reflections of host (i) antiviral mechanisms that are achieved through APOBEC, ADAR, and ZAP proteins and (ii) probable adaptation against reactive oxygen species.
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2021-02-04
    Verlag Cold Spring Harbor Laboratory
    Dokumenttyp Artikel ; Online
    DOI 10.1101/2021.02.02.429486
    Datenquelle COVID19

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  4. Artikel: Phylogenetic analysis of sars-cov-2 genomes in Turkey

    Adebali, Ogün / Bircan, Aylin / Çirci, Defne / İşlek, Burak / Kilinç, Zeynep / Selçuk, Berkay / Turhan, Berk

    Turk. J. Biol.

    Abstract: COVID-19 has effectively spread worldwide. As of May 2020, Turkey is among the top ten countries with the most cases. A comprehensive genomic characterization of the virus isolates in Turkey is yet to be carried out. Here, we built a phylogenetic tree ... ...

    Abstract COVID-19 has effectively spread worldwide. As of May 2020, Turkey is among the top ten countries with the most cases. A comprehensive genomic characterization of the virus isolates in Turkey is yet to be carried out. Here, we built a phylogenetic tree with globally obtained 15,277 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes. We identified the subtypes based on the phylogenetic clustering in comparison with the previously annotated classifications. We performed a phylogenetic analysis of the first 30 SARS-CoV-2 genomes isolated and sequenced in Turkey. We suggest that the first introduction of the virus to the country is earlier than the first reported case of infection. Virus genomes isolated from Turkey are dispersed among most types in the phylogenetic tree. We find 2 of the seventeen subclusters enriched with the isolates of Turkey, which likely have spread expansively in the country. Finally, we traced virus genomes based on their phylogenetic placements. This analysis suggested multiple independent international introductions of the virus and revealed a hub for the inland transmission. We released a web application to track the global and interprovincial virus spread of the isolates from Turkey in comparison to thousands of genomes worldwide.
    Schlagwörter covid19
    Verlag WHO
    Dokumenttyp Artikel
    Anmerkung WHO #Covidence: #618489
    Datenquelle COVID19

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  5. Artikel ; Online: Phylogenetic Analysis of SARS-CoV-2 Genomes in Turkey

    Adebalı, Ogün / Bırcan, Aylin / Çırcı, Defne / İşlek, Burak / Kilinç, Zeynep / Selçuk, Berkay / Turhan, Berk

    bioRxiv

    Abstract: COVID-19 has effectively spread worldwide. As of May 2020, Turkey is among the top ten countries with the most cases. A comprehensive genomic characterization of the virus isolates in Turkey is yet to be carried out. Here, we built a phylogenetic tree ... ...

    Abstract COVID-19 has effectively spread worldwide. As of May 2020, Turkey is among the top ten countries with the most cases. A comprehensive genomic characterization of the virus isolates in Turkey is yet to be carried out. Here, we built a phylogenetic tree with globally obtained 15,277 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes. We identified the subtypes based on the phylogenetic clustering in comparison with the previously annotated classifications. We performed a phylogenetic analysis of the first thirty SARS-CoV-2 genomes isolated and sequenced in Turkey. We suggest that the first introduction of the virus to the country is earlier than the first reported case of infection. Virus genomes isolated from Turkey are dispersed among most types in the phylogenetic tree. We find two of the seventeen sub-clusters enriched with the isolates of Turkey, which likely have spread expansively in the country. Finally, we traced virus genomes based on their phylogenetic placements. This analysis suggested multiple independent international introductions of the virus and revealed a hub for the inland transmission. We released a web application to track the global and interprovincial virus spread of the isolates from Turkey in comparison to thousands of genomes worldwide.
    Schlagwörter covid19
    Verlag BioRxiv; WHO
    Dokumenttyp Artikel ; Online
    DOI 10.1101/2020.05.15.095794
    Datenquelle COVID19

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  6. Artikel ; Online: Phylogenetic Analysis of SARS-CoV-2 Genomes in Turkey

    Adebali, Ogun / Bircan, Aylin / Circi, Defne / Islek, Burak / Kilinc, Zeynep / Selcuk, Berkay / Turhan, Berk

    bioRxiv

    Abstract: COVID-19 has effectively spread worldwide. As of May 2020, Turkey is among the top ten countries with the most cases. A comprehensive genomic characterization of the virus isolates in Turkey is yet to be carried out. Here, we built a phylogenetic tree ... ...

    Abstract COVID-19 has effectively spread worldwide. As of May 2020, Turkey is among the top ten countries with the most cases. A comprehensive genomic characterization of the virus isolates in Turkey is yet to be carried out. Here, we built a phylogenetic tree with 15,277 severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) genomes. We identified the subtypes based on the phylogenetic clustering in comparison with the previously annotated classifications. We performed a phylogenetic analysis of the first thirty SARS-CoV-2 genomes isolated and sequenced in Turkey. Our results suggest that the first introduction of the virus to the country is earlier than the first reported case of infection. Virus genomes isolated from Turkey are dispersed among most types in the phylogenetic tree. Two of the seventeen sub-clusters were found enriched with the isolates of Turkey, which likely have spread expansively in the country. Finally, we traced virus genomes based on their phylogenetic placements. This analysis suggested multiple independent international introductions of the virus and revealed a hub for the inland transmission. We released a web application to track the global and interprovincial virus spread of the isolates from Turkey in comparison to thousands of genomes worldwide.
    Schlagwörter covid19
    Sprache Englisch
    Erscheinungsdatum 2020-05-15
    Verlag Cold Spring Harbor Laboratory
    Dokumenttyp Artikel ; Online
    DOI 10.1101/2020.05.15.095794
    Datenquelle COVID19

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  7. Artikel ; Online: 14 examples of how LLMs can transform materials science and chemistry: a reflection on a large language model hackathon.

    Jablonka, Kevin Maik / Ai, Qianxiang / Al-Feghali, Alexander / Badhwar, Shruti / Bocarsly, Joshua D / Bran, Andres M / Bringuier, Stefan / Brinson, L Catherine / Choudhary, Kamal / Circi, Defne / Cox, Sam / de Jong, Wibe A / Evans, Matthew L / Gastellu, Nicolas / Genzling, Jerome / Gil, María Victoria / Gupta, Ankur K / Hong, Zhi / Imran, Alishba /
    Kruschwitz, Sabine / Labarre, Anne / Lála, Jakub / Liu, Tao / Ma, Steven / Majumdar, Sauradeep / Merz, Garrett W / Moitessier, Nicolas / Moubarak, Elias / Mouriño, Beatriz / Pelkie, Brenden / Pieler, Michael / Ramos, Mayk Caldas / Ranković, Bojana / Rodriques, Samuel G / Sanders, Jacob N / Schwaller, Philippe / Schwarting, Marcus / Shi, Jiale / Smit, Berend / Smith, Ben E / Van Herck, Joren / Völker, Christoph / Ward, Logan / Warren, Sean / Weiser, Benjamin / Zhang, Sylvester / Zhang, Xiaoqi / Zia, Ghezal Ahmad / Scourtas, Aristana / Schmidt, K J / Foster, Ian / White, Andrew D / Blaiszik, Ben

    Digital discovery

    2023  Band 2, Heft 5, Seite(n) 1233–1250

    Abstract: Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To explore these possibilities, we organized a hackathon. This article ... ...

    Abstract Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To explore these possibilities, we organized a hackathon. This article chronicles the projects built as part of this hackathon. Participants employed LLMs for various applications, including predicting properties of molecules and materials, designing novel interfaces for tools, extracting knowledge from unstructured data, and developing new educational applications. The diverse topics and the fact that working prototypes could be generated in less than two days highlight that LLMs will profoundly impact the future of our fields. The rich collection of ideas and projects also indicates that the applications of LLMs are not limited to materials science and chemistry but offer potential benefits to a wide range of scientific disciplines.
    Sprache Englisch
    Erscheinungsdatum 2023-08-08
    Erscheinungsland England
    Dokumenttyp Journal Article ; Review
    ISSN 2635-098X
    ISSN (online) 2635-098X
    DOI 10.1039/d3dd00113j
    Datenquelle MEDical Literature Analysis and Retrieval System OnLINE

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  8. Buch ; Online: 14 Examples of How LLMs Can Transform Materials Science and Chemistry

    Jablonka, Kevin Maik / Ai, Qianxiang / Al-Feghali, Alexander / Badhwar, Shruti / Bocarsly, Joshua D. / Bran, Andres M / Bringuier, Stefan / Brinson, L. Catherine / Choudhary, Kamal / Circi, Defne / Cox, Sam / de Jong, Wibe A. / Evans, Matthew L. / Gastellu, Nicolas / Genzling, Jerome / Gil, María Victoria / Gupta, Ankur K. / Hong, Zhi / Imran, Alishba /
    Kruschwitz, Sabine / Labarre, Anne / Lála, Jakub / Liu, Tao / Ma, Steven / Majumdar, Sauradeep / Merz, Garrett W. / Moitessier, Nicolas / Moubarak, Elias / Mouriño, Beatriz / Pelkie, Brenden / Pieler, Michael / Ramos, Mayk Caldas / Ranković, Bojana / Rodriques, Samuel G. / Sanders, Jacob N. / Schwaller, Philippe / Schwarting, Marcus / Shi, Jiale / Smit, Berend / Smith, Ben E. / Van Herck, Joren / Völker, Christoph / Ward, Logan / Warren, Sean / Weiser, Benjamin / Zhang, Sylvester / Zhang, Xiaoqi / Zia, Ghezal Ahmad / Scourtas, Aristana / Schmidt, KJ / Foster, Ian / White, Andrew D. / Blaiszik, Ben

    A Reflection on a Large Language Model Hackathon

    2023  

    Abstract: Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To explore these possibilities, we organized a hackathon. This article ... ...

    Abstract Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To explore these possibilities, we organized a hackathon. This article chronicles the projects built as part of this hackathon. Participants employed LLMs for various applications, including predicting properties of molecules and materials, designing novel interfaces for tools, extracting knowledge from unstructured data, and developing new educational applications. The diverse topics and the fact that working prototypes could be generated in less than two days highlight that LLMs will profoundly impact the future of our fields. The rich collection of ideas and projects also indicates that the applications of LLMs are not limited to materials science and chemistry but offer potential benefits to a wide range of scientific disciplines.
    Schlagwörter Condensed Matter - Materials Science ; Computer Science - Machine Learning ; Physics - Chemical Physics
    Thema/Rubrik (Code) 501
    Erscheinungsdatum 2023-06-09
    Erscheinungsland us
    Dokumenttyp Buch ; Online
    Datenquelle BASE - Bielefeld Academic Search Engine (Lebenswissenschaftliche Auswahl)

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