The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement
Motivation: The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential ne...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ronald van Ree [verfasserIn] Dexter Sapiter Ballerda [verfasserIn] M. Cecilia Berin [verfasserIn] Laurent Beuf [verfasserIn] Alexander Chang [verfasserIn] Gabriele Gadermaier [verfasserIn] Paul A. Guevera [verfasserIn] Karin Hoffmann-Sommergruber [verfasserIn] Emir Islamovic [verfasserIn] Liisa Koski [verfasserIn] John Kough [verfasserIn] Gregory S. Ladics [verfasserIn] Scott McClain [verfasserIn] Kyle A. McKillop [verfasserIn] Shermaine Mitchell-Ryan [verfasserIn] Clare A. Narrod [verfasserIn] Lucilia Pereira Mouriès [verfasserIn] Syril Pettit [verfasserIn] Lars K. Poulsen [verfasserIn] Andre Silvanovich [verfasserIn] Ping Song [verfasserIn] Suzanne S. Teuber [verfasserIn] Christal Bowman [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2021 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
In: Frontiers in Allergy - Frontiers Media S.A., 2021, 2(2021) |
|---|---|
| Übergeordnetes Werk: |
volume:2 ; year:2021 |
| Links: |
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| DOI / URN: |
10.3389/falgy.2021.700533 |
|---|
| Katalog-ID: |
DOAJ004688171 |
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| 520 | |a Motivation: The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential new allergens sequences has become more complex due to the exponential increase of genomic sequence information. To address these challenges, an international collaborative scientific group coordinated by the Health and Environmental Sciences Institute (HESI), was tasked to develop a contemporary, adaptable, high-throughput process to build the COMprehensive Protein Allergen REsource (COMPARE) database, a publicly accessible allergen sequence data resource along with bioinformatics analytical tools following guidelines of FAO/WHO and CODEX Alimentarius Commission.Results: The COMPARE process is novel in that it involves the identification of candidate sequences via automated keyword-based sorting algorithm and manual curation of the annotated sequence entries retrieved from public protein sequence databases on a yearly basis; its process is meant for continuous improvement, with updates being transparently documented with each version; as a complementary approach, a yearly key-word based search of literature databases is added to identify new allergen sequences that were not (yet) submitted to protein databases; in addition, comments from the independent peer-review panel are posted on the website to increase transparency of decision making; finally, sequence comparison capabilities associated with the COMPARE database was developed to evaluate the potential allergenicity of proteins, based on internationally recognized guidelines, FAO/WHO and CODEX Alimentarius Commission | ||
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| 650 | 4 | |a risk assessment | |
| 653 | 0 | |a Immunologic diseases. Allergy | |
| 700 | 0 | |a Dexter Sapiter Ballerda |e verfasserin |4 aut | |
| 700 | 0 | |a M. Cecilia Berin |e verfasserin |4 aut | |
| 700 | 0 | |a Laurent Beuf |e verfasserin |4 aut | |
| 700 | 0 | |a Alexander Chang |e verfasserin |4 aut | |
| 700 | 0 | |a Gabriele Gadermaier |e verfasserin |4 aut | |
| 700 | 0 | |a Paul A. Guevera |e verfasserin |4 aut | |
| 700 | 0 | |a Karin Hoffmann-Sommergruber |e verfasserin |4 aut | |
| 700 | 0 | |a Emir Islamovic |e verfasserin |4 aut | |
| 700 | 0 | |a Liisa Koski |e verfasserin |4 aut | |
| 700 | 0 | |a John Kough |e verfasserin |4 aut | |
| 700 | 0 | |a Gregory S. Ladics |e verfasserin |4 aut | |
| 700 | 0 | |a Scott McClain |e verfasserin |4 aut | |
| 700 | 0 | |a Kyle A. McKillop |e verfasserin |4 aut | |
| 700 | 0 | |a Shermaine Mitchell-Ryan |e verfasserin |4 aut | |
| 700 | 0 | |a Clare A. Narrod |e verfasserin |4 aut | |
| 700 | 0 | |a Lucilia Pereira Mouriès |e verfasserin |4 aut | |
| 700 | 0 | |a Syril Pettit |e verfasserin |4 aut | |
| 700 | 0 | |a Lars K. Poulsen |e verfasserin |4 aut | |
| 700 | 0 | |a Andre Silvanovich |e verfasserin |4 aut | |
| 700 | 0 | |a Ping Song |e verfasserin |4 aut | |
| 700 | 0 | |a Suzanne S. Teuber |e verfasserin |4 aut | |
| 700 | 0 | |a Suzanne S. Teuber |e verfasserin |4 aut | |
| 700 | 0 | |a Suzanne S. Teuber |e verfasserin |4 aut | |
| 700 | 0 | |a Christal Bowman |e verfasserin |4 aut | |
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10.3389/falgy.2021.700533 doi (DE-627)DOAJ004688171 (DE-599)DOAJc6d13eb198294ceebba143d7e3429f0c DE-627 ger DE-627 rakwb eng RC581-607 Ronald van Ree verfasserin aut The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Motivation: The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential new allergens sequences has become more complex due to the exponential increase of genomic sequence information. To address these challenges, an international collaborative scientific group coordinated by the Health and Environmental Sciences Institute (HESI), was tasked to develop a contemporary, adaptable, high-throughput process to build the COMprehensive Protein Allergen REsource (COMPARE) database, a publicly accessible allergen sequence data resource along with bioinformatics analytical tools following guidelines of FAO/WHO and CODEX Alimentarius Commission.Results: The COMPARE process is novel in that it involves the identification of candidate sequences via automated keyword-based sorting algorithm and manual curation of the annotated sequence entries retrieved from public protein sequence databases on a yearly basis; its process is meant for continuous improvement, with updates being transparently documented with each version; as a complementary approach, a yearly key-word based search of literature databases is added to identify new allergen sequences that were not (yet) submitted to protein databases; in addition, comments from the independent peer-review panel are posted on the website to increase transparency of decision making; finally, sequence comparison capabilities associated with the COMPARE database was developed to evaluate the potential allergenicity of proteins, based on internationally recognized guidelines, FAO/WHO and CODEX Alimentarius Commission allergen database allergenicity assessment bioinformatics GMO sequence comparison risk assessment Immunologic diseases. Allergy Dexter Sapiter Ballerda verfasserin aut M. Cecilia Berin verfasserin aut Laurent Beuf verfasserin aut Alexander Chang verfasserin aut Gabriele Gadermaier verfasserin aut Paul A. Guevera verfasserin aut Karin Hoffmann-Sommergruber verfasserin aut Emir Islamovic verfasserin aut Liisa Koski verfasserin aut John Kough verfasserin aut Gregory S. Ladics verfasserin aut Scott McClain verfasserin aut Kyle A. McKillop verfasserin aut Shermaine Mitchell-Ryan verfasserin aut Clare A. Narrod verfasserin aut Lucilia Pereira Mouriès verfasserin aut Syril Pettit verfasserin aut Lars K. Poulsen verfasserin aut Andre Silvanovich verfasserin aut Ping Song verfasserin aut Suzanne S. Teuber verfasserin aut Suzanne S. Teuber verfasserin aut Suzanne S. Teuber verfasserin aut Christal Bowman verfasserin aut In Frontiers in Allergy Frontiers Media S.A., 2021 2(2021) (DE-627)1757639608 (DE-600)3063831-8 26736101 nnns volume:2 year:2021 https://doi.org/10.3389/falgy.2021.700533 kostenfrei https://doaj.org/article/c6d13eb198294ceebba143d7e3429f0c kostenfrei https://www.frontiersin.org/articles/10.3389/falgy.2021.700533/full kostenfrei https://doaj.org/toc/2673-6101 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2021 |
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10.3389/falgy.2021.700533 doi (DE-627)DOAJ004688171 (DE-599)DOAJc6d13eb198294ceebba143d7e3429f0c DE-627 ger DE-627 rakwb eng RC581-607 Ronald van Ree verfasserin aut The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Motivation: The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential new allergens sequences has become more complex due to the exponential increase of genomic sequence information. To address these challenges, an international collaborative scientific group coordinated by the Health and Environmental Sciences Institute (HESI), was tasked to develop a contemporary, adaptable, high-throughput process to build the COMprehensive Protein Allergen REsource (COMPARE) database, a publicly accessible allergen sequence data resource along with bioinformatics analytical tools following guidelines of FAO/WHO and CODEX Alimentarius Commission.Results: The COMPARE process is novel in that it involves the identification of candidate sequences via automated keyword-based sorting algorithm and manual curation of the annotated sequence entries retrieved from public protein sequence databases on a yearly basis; its process is meant for continuous improvement, with updates being transparently documented with each version; as a complementary approach, a yearly key-word based search of literature databases is added to identify new allergen sequences that were not (yet) submitted to protein databases; in addition, comments from the independent peer-review panel are posted on the website to increase transparency of decision making; finally, sequence comparison capabilities associated with the COMPARE database was developed to evaluate the potential allergenicity of proteins, based on internationally recognized guidelines, FAO/WHO and CODEX Alimentarius Commission allergen database allergenicity assessment bioinformatics GMO sequence comparison risk assessment Immunologic diseases. Allergy Dexter Sapiter Ballerda verfasserin aut M. Cecilia Berin verfasserin aut Laurent Beuf verfasserin aut Alexander Chang verfasserin aut Gabriele Gadermaier verfasserin aut Paul A. Guevera verfasserin aut Karin Hoffmann-Sommergruber verfasserin aut Emir Islamovic verfasserin aut Liisa Koski verfasserin aut John Kough verfasserin aut Gregory S. Ladics verfasserin aut Scott McClain verfasserin aut Kyle A. McKillop verfasserin aut Shermaine Mitchell-Ryan verfasserin aut Clare A. Narrod verfasserin aut Lucilia Pereira Mouriès verfasserin aut Syril Pettit verfasserin aut Lars K. Poulsen verfasserin aut Andre Silvanovich verfasserin aut Ping Song verfasserin aut Suzanne S. Teuber verfasserin aut Suzanne S. Teuber verfasserin aut Suzanne S. Teuber verfasserin aut Christal Bowman verfasserin aut In Frontiers in Allergy Frontiers Media S.A., 2021 2(2021) (DE-627)1757639608 (DE-600)3063831-8 26736101 nnns volume:2 year:2021 https://doi.org/10.3389/falgy.2021.700533 kostenfrei https://doaj.org/article/c6d13eb198294ceebba143d7e3429f0c kostenfrei https://www.frontiersin.org/articles/10.3389/falgy.2021.700533/full kostenfrei https://doaj.org/toc/2673-6101 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2021 |
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10.3389/falgy.2021.700533 doi (DE-627)DOAJ004688171 (DE-599)DOAJc6d13eb198294ceebba143d7e3429f0c DE-627 ger DE-627 rakwb eng RC581-607 Ronald van Ree verfasserin aut The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Motivation: The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential new allergens sequences has become more complex due to the exponential increase of genomic sequence information. To address these challenges, an international collaborative scientific group coordinated by the Health and Environmental Sciences Institute (HESI), was tasked to develop a contemporary, adaptable, high-throughput process to build the COMprehensive Protein Allergen REsource (COMPARE) database, a publicly accessible allergen sequence data resource along with bioinformatics analytical tools following guidelines of FAO/WHO and CODEX Alimentarius Commission.Results: The COMPARE process is novel in that it involves the identification of candidate sequences via automated keyword-based sorting algorithm and manual curation of the annotated sequence entries retrieved from public protein sequence databases on a yearly basis; its process is meant for continuous improvement, with updates being transparently documented with each version; as a complementary approach, a yearly key-word based search of literature databases is added to identify new allergen sequences that were not (yet) submitted to protein databases; in addition, comments from the independent peer-review panel are posted on the website to increase transparency of decision making; finally, sequence comparison capabilities associated with the COMPARE database was developed to evaluate the potential allergenicity of proteins, based on internationally recognized guidelines, FAO/WHO and CODEX Alimentarius Commission allergen database allergenicity assessment bioinformatics GMO sequence comparison risk assessment Immunologic diseases. Allergy Dexter Sapiter Ballerda verfasserin aut M. Cecilia Berin verfasserin aut Laurent Beuf verfasserin aut Alexander Chang verfasserin aut Gabriele Gadermaier verfasserin aut Paul A. Guevera verfasserin aut Karin Hoffmann-Sommergruber verfasserin aut Emir Islamovic verfasserin aut Liisa Koski verfasserin aut John Kough verfasserin aut Gregory S. Ladics verfasserin aut Scott McClain verfasserin aut Kyle A. McKillop verfasserin aut Shermaine Mitchell-Ryan verfasserin aut Clare A. Narrod verfasserin aut Lucilia Pereira Mouriès verfasserin aut Syril Pettit verfasserin aut Lars K. Poulsen verfasserin aut Andre Silvanovich verfasserin aut Ping Song verfasserin aut Suzanne S. Teuber verfasserin aut Suzanne S. Teuber verfasserin aut Suzanne S. Teuber verfasserin aut Christal Bowman verfasserin aut In Frontiers in Allergy Frontiers Media S.A., 2021 2(2021) (DE-627)1757639608 (DE-600)3063831-8 26736101 nnns volume:2 year:2021 https://doi.org/10.3389/falgy.2021.700533 kostenfrei https://doaj.org/article/c6d13eb198294ceebba143d7e3429f0c kostenfrei https://www.frontiersin.org/articles/10.3389/falgy.2021.700533/full kostenfrei https://doaj.org/toc/2673-6101 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2021 |
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10.3389/falgy.2021.700533 doi (DE-627)DOAJ004688171 (DE-599)DOAJc6d13eb198294ceebba143d7e3429f0c DE-627 ger DE-627 rakwb eng RC581-607 Ronald van Ree verfasserin aut The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement 2021 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Motivation: The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential new allergens sequences has become more complex due to the exponential increase of genomic sequence information. To address these challenges, an international collaborative scientific group coordinated by the Health and Environmental Sciences Institute (HESI), was tasked to develop a contemporary, adaptable, high-throughput process to build the COMprehensive Protein Allergen REsource (COMPARE) database, a publicly accessible allergen sequence data resource along with bioinformatics analytical tools following guidelines of FAO/WHO and CODEX Alimentarius Commission.Results: The COMPARE process is novel in that it involves the identification of candidate sequences via automated keyword-based sorting algorithm and manual curation of the annotated sequence entries retrieved from public protein sequence databases on a yearly basis; its process is meant for continuous improvement, with updates being transparently documented with each version; as a complementary approach, a yearly key-word based search of literature databases is added to identify new allergen sequences that were not (yet) submitted to protein databases; in addition, comments from the independent peer-review panel are posted on the website to increase transparency of decision making; finally, sequence comparison capabilities associated with the COMPARE database was developed to evaluate the potential allergenicity of proteins, based on internationally recognized guidelines, FAO/WHO and CODEX Alimentarius Commission allergen database allergenicity assessment bioinformatics GMO sequence comparison risk assessment Immunologic diseases. Allergy Dexter Sapiter Ballerda verfasserin aut M. Cecilia Berin verfasserin aut Laurent Beuf verfasserin aut Alexander Chang verfasserin aut Gabriele Gadermaier verfasserin aut Paul A. Guevera verfasserin aut Karin Hoffmann-Sommergruber verfasserin aut Emir Islamovic verfasserin aut Liisa Koski verfasserin aut John Kough verfasserin aut Gregory S. Ladics verfasserin aut Scott McClain verfasserin aut Kyle A. McKillop verfasserin aut Shermaine Mitchell-Ryan verfasserin aut Clare A. Narrod verfasserin aut Lucilia Pereira Mouriès verfasserin aut Syril Pettit verfasserin aut Lars K. Poulsen verfasserin aut Andre Silvanovich verfasserin aut Ping Song verfasserin aut Suzanne S. Teuber verfasserin aut Suzanne S. Teuber verfasserin aut Suzanne S. Teuber verfasserin aut Christal Bowman verfasserin aut In Frontiers in Allergy Frontiers Media S.A., 2021 2(2021) (DE-627)1757639608 (DE-600)3063831-8 26736101 nnns volume:2 year:2021 https://doi.org/10.3389/falgy.2021.700533 kostenfrei https://doaj.org/article/c6d13eb198294ceebba143d7e3429f0c kostenfrei https://www.frontiersin.org/articles/10.3389/falgy.2021.700533/full kostenfrei https://doaj.org/toc/2673-6101 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4700 AR 2 2021 |
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Ronald van Ree @@aut@@ Dexter Sapiter Ballerda @@aut@@ M. Cecilia Berin @@aut@@ Laurent Beuf @@aut@@ Alexander Chang @@aut@@ Gabriele Gadermaier @@aut@@ Paul A. Guevera @@aut@@ Karin Hoffmann-Sommergruber @@aut@@ Emir Islamovic @@aut@@ Liisa Koski @@aut@@ John Kough @@aut@@ Gregory S. Ladics @@aut@@ Scott McClain @@aut@@ Kyle A. McKillop @@aut@@ Shermaine Mitchell-Ryan @@aut@@ Clare A. Narrod @@aut@@ Lucilia Pereira Mouriès @@aut@@ Syril Pettit @@aut@@ Lars K. Poulsen @@aut@@ Andre Silvanovich @@aut@@ Ping Song @@aut@@ Suzanne S. Teuber @@aut@@ Christal Bowman @@aut@@ |
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The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement |
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Ronald van Ree |
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Ronald van Ree Dexter Sapiter Ballerda M. Cecilia Berin Laurent Beuf Alexander Chang Gabriele Gadermaier Paul A. Guevera Karin Hoffmann-Sommergruber Emir Islamovic Liisa Koski John Kough Gregory S. Ladics Scott McClain Kyle A. McKillop Shermaine Mitchell-Ryan Clare A. Narrod Lucilia Pereira Mouriès Syril Pettit Lars K. Poulsen Andre Silvanovich Ping Song Suzanne S. Teuber Christal Bowman |
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compare database: a public resource for allergen identification, adapted for continuous improvement |
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The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement |
| abstract |
Motivation: The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential new allergens sequences has become more complex due to the exponential increase of genomic sequence information. To address these challenges, an international collaborative scientific group coordinated by the Health and Environmental Sciences Institute (HESI), was tasked to develop a contemporary, adaptable, high-throughput process to build the COMprehensive Protein Allergen REsource (COMPARE) database, a publicly accessible allergen sequence data resource along with bioinformatics analytical tools following guidelines of FAO/WHO and CODEX Alimentarius Commission.Results: The COMPARE process is novel in that it involves the identification of candidate sequences via automated keyword-based sorting algorithm and manual curation of the annotated sequence entries retrieved from public protein sequence databases on a yearly basis; its process is meant for continuous improvement, with updates being transparently documented with each version; as a complementary approach, a yearly key-word based search of literature databases is added to identify new allergen sequences that were not (yet) submitted to protein databases; in addition, comments from the independent peer-review panel are posted on the website to increase transparency of decision making; finally, sequence comparison capabilities associated with the COMPARE database was developed to evaluate the potential allergenicity of proteins, based on internationally recognized guidelines, FAO/WHO and CODEX Alimentarius Commission |
| abstractGer |
Motivation: The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential new allergens sequences has become more complex due to the exponential increase of genomic sequence information. To address these challenges, an international collaborative scientific group coordinated by the Health and Environmental Sciences Institute (HESI), was tasked to develop a contemporary, adaptable, high-throughput process to build the COMprehensive Protein Allergen REsource (COMPARE) database, a publicly accessible allergen sequence data resource along with bioinformatics analytical tools following guidelines of FAO/WHO and CODEX Alimentarius Commission.Results: The COMPARE process is novel in that it involves the identification of candidate sequences via automated keyword-based sorting algorithm and manual curation of the annotated sequence entries retrieved from public protein sequence databases on a yearly basis; its process is meant for continuous improvement, with updates being transparently documented with each version; as a complementary approach, a yearly key-word based search of literature databases is added to identify new allergen sequences that were not (yet) submitted to protein databases; in addition, comments from the independent peer-review panel are posted on the website to increase transparency of decision making; finally, sequence comparison capabilities associated with the COMPARE database was developed to evaluate the potential allergenicity of proteins, based on internationally recognized guidelines, FAO/WHO and CODEX Alimentarius Commission |
| abstract_unstemmed |
Motivation: The availability of databases identifying allergenic proteins via a transparent and consensus-based scientific approach is of prime importance to support the safety review of genetically-modified foods and feeds, and public safety in general. Over recent years, screening for potential new allergens sequences has become more complex due to the exponential increase of genomic sequence information. To address these challenges, an international collaborative scientific group coordinated by the Health and Environmental Sciences Institute (HESI), was tasked to develop a contemporary, adaptable, high-throughput process to build the COMprehensive Protein Allergen REsource (COMPARE) database, a publicly accessible allergen sequence data resource along with bioinformatics analytical tools following guidelines of FAO/WHO and CODEX Alimentarius Commission.Results: The COMPARE process is novel in that it involves the identification of candidate sequences via automated keyword-based sorting algorithm and manual curation of the annotated sequence entries retrieved from public protein sequence databases on a yearly basis; its process is meant for continuous improvement, with updates being transparently documented with each version; as a complementary approach, a yearly key-word based search of literature databases is added to identify new allergen sequences that were not (yet) submitted to protein databases; in addition, comments from the independent peer-review panel are posted on the website to increase transparency of decision making; finally, sequence comparison capabilities associated with the COMPARE database was developed to evaluate the potential allergenicity of proteins, based on internationally recognized guidelines, FAO/WHO and CODEX Alimentarius Commission |
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The COMPARE Database: A Public Resource for Allergen Identification, Adapted for Continuous Improvement |
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Dexter Sapiter Ballerda M. Cecilia Berin Laurent Beuf Alexander Chang Gabriele Gadermaier Paul A. Guevera Karin Hoffmann-Sommergruber Emir Islamovic Liisa Koski John Kough Gregory S. Ladics Scott McClain Kyle A. McKillop Shermaine Mitchell-Ryan Clare A. Narrod Lucilia Pereira Mouriès Syril Pettit Lars K. Poulsen Andre Silvanovich Ping Song Suzanne S. Teuber Christal Bowman |
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