Jennifer Dommer, Koenraad Van Doorslaer, Cyrus Afrasiabi, Kristen Browne, Sam Ezeji, Lewis Kim, Michael Dolan, Alison A McBride
{"title":"PaVE 2.0:乳头状瘤病毒知识的幕后。","authors":"Jennifer Dommer, Koenraad Van Doorslaer, Cyrus Afrasiabi, Kristen Browne, Sam Ezeji, Lewis Kim, Michael Dolan, Alison A McBride","doi":"10.1016/j.jmb.2024.168925","DOIUrl":null,"url":null,"abstract":"<p><p>The Papilloma Virus Episteme (PaVE) https://pave.niaid.nih.gov/ was initiated by NIAID in 2008 to provide a highly curated bioinformatic and knowledge resource for the papillomavirus scientific community. It rapidly became the fundamental and core resource for papillomavirus researchers and clinicians worldwide. Over time, the software infrastructure became severely outdated. In PaVE 2.0, the underlying libraries and hosting platform have been completely upgraded and rebuilt using Amazon Web Services (AWS) tools and automated CI/CD (continuous integration and deployment) pipelines for deployment of the application and data (now in AWS S3 cloud storage). PaVE 2.0 is hosted on three AWS ECS (elastic container service) using the NIAID Operations & Engineering Branch's Monarch tech stack and terraform. A new Celery queue supports longer running tasks. The framework is Python Flask with a JavaScript/JINJA template front end, and the database switched from MySQL to Neo4j. A Swagger API (Application Programming Interface) performs database queries, and executes jobs for BLAST, MAFFT, and the L1 typing tooland will allow future programmatic data access. All major tools such as BLAST, the L1 typing tool, genome locus viewer, phylogenetic tree generator, multiple sequence alignment, and protein structure viewer were modernized and enhanced to support more users. Multiple sequence alignment uses MAFFT instead of COBALT. The protein structure viewer was changed from Jmol to Mol*, the new embeddable viewer used by RCSB (Research Collaboratory for Structural Bioinformatics). In summary, PaVE 2.0 allows us to continue to provide this essential resource with an open-source framework that could be used as a template for molecular biology databases of other viruses.</p>","PeriodicalId":369,"journal":{"name":"Journal of Molecular Biology","volume":" ","pages":"168925"},"PeriodicalIF":4.7000,"publicationDate":"2024-12-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"PaVE 2.0: Behind the Scenes of the Papillomavirus Episteme.\",\"authors\":\"Jennifer Dommer, Koenraad Van Doorslaer, Cyrus Afrasiabi, Kristen Browne, Sam Ezeji, Lewis Kim, Michael Dolan, Alison A McBride\",\"doi\":\"10.1016/j.jmb.2024.168925\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>The Papilloma Virus Episteme (PaVE) https://pave.niaid.nih.gov/ was initiated by NIAID in 2008 to provide a highly curated bioinformatic and knowledge resource for the papillomavirus scientific community. It rapidly became the fundamental and core resource for papillomavirus researchers and clinicians worldwide. Over time, the software infrastructure became severely outdated. In PaVE 2.0, the underlying libraries and hosting platform have been completely upgraded and rebuilt using Amazon Web Services (AWS) tools and automated CI/CD (continuous integration and deployment) pipelines for deployment of the application and data (now in AWS S3 cloud storage). PaVE 2.0 is hosted on three AWS ECS (elastic container service) using the NIAID Operations & Engineering Branch's Monarch tech stack and terraform. A new Celery queue supports longer running tasks. The framework is Python Flask with a JavaScript/JINJA template front end, and the database switched from MySQL to Neo4j. A Swagger API (Application Programming Interface) performs database queries, and executes jobs for BLAST, MAFFT, and the L1 typing tooland will allow future programmatic data access. All major tools such as BLAST, the L1 typing tool, genome locus viewer, phylogenetic tree generator, multiple sequence alignment, and protein structure viewer were modernized and enhanced to support more users. Multiple sequence alignment uses MAFFT instead of COBALT. The protein structure viewer was changed from Jmol to Mol*, the new embeddable viewer used by RCSB (Research Collaboratory for Structural Bioinformatics). In summary, PaVE 2.0 allows us to continue to provide this essential resource with an open-source framework that could be used as a template for molecular biology databases of other viruses.</p>\",\"PeriodicalId\":369,\"journal\":{\"name\":\"Journal of Molecular Biology\",\"volume\":\" \",\"pages\":\"168925\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-12-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Molecular Biology\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1016/j.jmb.2024.168925\",\"RegionNum\":2,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BIOCHEMISTRY & MOLECULAR BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Molecular Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1016/j.jmb.2024.168925","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BIOCHEMISTRY & MOLECULAR BIOLOGY","Score":null,"Total":0}
PaVE 2.0: Behind the Scenes of the Papillomavirus Episteme.
The Papilloma Virus Episteme (PaVE) https://pave.niaid.nih.gov/ was initiated by NIAID in 2008 to provide a highly curated bioinformatic and knowledge resource for the papillomavirus scientific community. It rapidly became the fundamental and core resource for papillomavirus researchers and clinicians worldwide. Over time, the software infrastructure became severely outdated. In PaVE 2.0, the underlying libraries and hosting platform have been completely upgraded and rebuilt using Amazon Web Services (AWS) tools and automated CI/CD (continuous integration and deployment) pipelines for deployment of the application and data (now in AWS S3 cloud storage). PaVE 2.0 is hosted on three AWS ECS (elastic container service) using the NIAID Operations & Engineering Branch's Monarch tech stack and terraform. A new Celery queue supports longer running tasks. The framework is Python Flask with a JavaScript/JINJA template front end, and the database switched from MySQL to Neo4j. A Swagger API (Application Programming Interface) performs database queries, and executes jobs for BLAST, MAFFT, and the L1 typing tooland will allow future programmatic data access. All major tools such as BLAST, the L1 typing tool, genome locus viewer, phylogenetic tree generator, multiple sequence alignment, and protein structure viewer were modernized and enhanced to support more users. Multiple sequence alignment uses MAFFT instead of COBALT. The protein structure viewer was changed from Jmol to Mol*, the new embeddable viewer used by RCSB (Research Collaboratory for Structural Bioinformatics). In summary, PaVE 2.0 allows us to continue to provide this essential resource with an open-source framework that could be used as a template for molecular biology databases of other viruses.
期刊介绍:
Journal of Molecular Biology (JMB) provides high quality, comprehensive and broad coverage in all areas of molecular biology. The journal publishes original scientific research papers that provide mechanistic and functional insights and report a significant advance to the field. The journal encourages the submission of multidisciplinary studies that use complementary experimental and computational approaches to address challenging biological questions.
Research areas include but are not limited to: Biomolecular interactions, signaling networks, systems biology; Cell cycle, cell growth, cell differentiation; Cell death, autophagy; Cell signaling and regulation; Chemical biology; Computational biology, in combination with experimental studies; DNA replication, repair, and recombination; Development, regenerative biology, mechanistic and functional studies of stem cells; Epigenetics, chromatin structure and function; Gene expression; Membrane processes, cell surface proteins and cell-cell interactions; Methodological advances, both experimental and theoretical, including databases; Microbiology, virology, and interactions with the host or environment; Microbiota mechanistic and functional studies; Nuclear organization; Post-translational modifications, proteomics; Processing and function of biologically important macromolecules and complexes; Molecular basis of disease; RNA processing, structure and functions of non-coding RNAs, transcription; Sorting, spatiotemporal organization, trafficking; Structural biology; Synthetic biology; Translation, protein folding, chaperones, protein degradation and quality control.