Using in silico models to predict lymphocyte activation and development in a data rich era
It has become a routine to get insights into the multi-scale nature of immune response in health and disease through ‘omics datasets. This presents us with a unique opportunity to leverage our access to such data to develop computational models that can generate usable predictions and mechanistic in...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-06-01
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| Series: | ImmunoInformatics |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2667119024000077 |
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| author | Salim I Khakoo Jayajit Das |
| author_facet | Salim I Khakoo Jayajit Das |
| author_sort | Salim I Khakoo |
| collection | DOAJ |
| description | It has become a routine to get insights into the multi-scale nature of immune response in health and disease through ‘omics datasets. This presents us with a unique opportunity to leverage our access to such data to develop computational models that can generate usable predictions and mechanistic insights capable of seeding new ideas. However, this is a particularly challenging task due to the difficulty in integrating data and processes across multiple scales. In this review we discuss some of the challenges associated with this task and also the recent advances and opportunities that will help to makes these tractable, using the innate lymphocyte, the natural killer cell as an exemplar. |
| format | Article |
| id | doaj-art-174c96f565ea44ca862d9545d894aae0 |
| institution | OA Journals |
| issn | 2667-1190 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Elsevier |
| record_format | Article |
| series | ImmunoInformatics |
| spelling | doaj-art-174c96f565ea44ca862d9545d894aae02025-08-20T02:27:40ZengElsevierImmunoInformatics2667-11902024-06-011410003710.1016/j.immuno.2024.100037Using in silico models to predict lymphocyte activation and development in a data rich eraSalim I Khakoo0Jayajit Das1Department of Clinical and Experimental Sciences, Faculty of Medicine, University of Southampton, SO16 6YD, Southampton, UK; Corresponding authors.Steve and Cindy Rasmussen Institute for Genomics, The Abigail Wexner Research Institute at the Nationwide Children's Hospital, Columbus, OH 43205, USA; Department of Pediatrics, The Ohio State University, Columbus, OH 43210, USA; Pelotonia Institute of Immuno-Oncology, College of Medicine, The Ohio State University, Columbus, OH 43210, USA; Biophysics Program, The Ohio State University, Columbus, OH 43210, USA; Corresponding authors.It has become a routine to get insights into the multi-scale nature of immune response in health and disease through ‘omics datasets. This presents us with a unique opportunity to leverage our access to such data to develop computational models that can generate usable predictions and mechanistic insights capable of seeding new ideas. However, this is a particularly challenging task due to the difficulty in integrating data and processes across multiple scales. In this review we discuss some of the challenges associated with this task and also the recent advances and opportunities that will help to makes these tractable, using the innate lymphocyte, the natural killer cell as an exemplar.http://www.sciencedirect.com/science/article/pii/S2667119024000077Computational modelingNatural killer cellsMachine learningMultiscale modelingLymphocytes |
| spellingShingle | Salim I Khakoo Jayajit Das Using in silico models to predict lymphocyte activation and development in a data rich era ImmunoInformatics Computational modeling Natural killer cells Machine learning Multiscale modeling Lymphocytes |
| title | Using in silico models to predict lymphocyte activation and development in a data rich era |
| title_full | Using in silico models to predict lymphocyte activation and development in a data rich era |
| title_fullStr | Using in silico models to predict lymphocyte activation and development in a data rich era |
| title_full_unstemmed | Using in silico models to predict lymphocyte activation and development in a data rich era |
| title_short | Using in silico models to predict lymphocyte activation and development in a data rich era |
| title_sort | using in silico models to predict lymphocyte activation and development in a data rich era |
| topic | Computational modeling Natural killer cells Machine learning Multiscale modeling Lymphocytes |
| url | http://www.sciencedirect.com/science/article/pii/S2667119024000077 |
| work_keys_str_mv | AT salimikhakoo usinginsilicomodelstopredictlymphocyteactivationanddevelopmentinadatarichera AT jayajitdas usinginsilicomodelstopredictlymphocyteactivationanddevelopmentinadatarichera |