ORCID Profile
0000-0002-3218-5631
Current Organisation
Ontario Institute for Cancer Research
Does something not look right? The information on this page has been harvested from data sources that may not be up to date. We continue to work with information providers to improve coverage and quality. To report an issue, use the Feedback Form.
Publisher: Reactome
Date: 19-12-2012
Publisher: American Association for the Advancement of Science (AAAS)
Date: 15-09-2010
DOI: 10.1126/SCITRANSLMED.3001267
Abstract: Mutations of the X-linked gene PTCHD1 are associated with autism spectrum disorders and intellectual disability.
Publisher: Reactome
Date: 12-06-2019
Publisher: Cold Spring Harbor Laboratory
Date: 17-01-0301
DOI: 10.1101/2020.10.26.356014
Abstract: We describe a large-scale community effort to build an open-access, interoperable, and computable repository of COVID-19 molecular mechanisms - the COVID-19 Disease Map. We discuss the tools, platforms, and guidelines necessary for the distributed development of its contents by a multi-faceted community of biocurators, domain experts, bioinformaticians, and computational biologists. We highlight the role of relevant databases and text mining approaches in enrichment and validation of the curated mechanisms. We describe the contents of the Map and their relevance to the molecular pathophysiology of COVID-19 and the analytical and computational modelling approaches that can be applied for mechanistic data interpretation and predictions. We conclude by demonstrating concrete applications of our work through several use cases and highlight new testable hypotheses.
Publisher: Cold Spring Harbor Laboratory
Date: 19-12-2022
DOI: 10.1101/2022.12.17.520865
Abstract: The COVID-19 Disease Map project is a large-scale community effort uniting 277 scientists from 130 Institutions around the globe. We use high-quality, mechanistic content describing SARS-CoV-2-host interactions and develop interoperable bioinformatic pipelines for novel target identification and drug repurposing. Community-driven and highly interdisciplinary, the project is collaborative and supports community standards, open access, and the FAIR data principles. The coordination of community work allowed for an impressive step forward in building interfaces between Systems Biology tools and platforms. Our framework links key molecules highlighted from broad omics data analysis and computational modeling to dysregulated pathways in a cell-, tissue- or patient-specific manner. We also employ text mining and AI-assisted analysis to identify potential drugs and drug targets and use topological analysis to reveal interesting structural features of the map. The proposed framework is versatile and expandable, offering a significant upgrade in the arsenal used to understand virus-host interactions and other complex pathologies.
Publisher: EMBO
Date: 10-2021
Publisher: Oxford University Press (OUP)
Date: 2016
Publisher: Oxford University Press (OUP)
Date: 2016
No related grants have been discovered for Marija Orlic-Milacic.