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- STAYAHEAD_M type Method assertion.
- STAYAHEAD_M type FAIRDigitalObject assertion.
- STAYAHEAD_M label "STAYAHEAD Dataset Methodology" assertion.
- STAYAHEAD_M comment "The SARS-CoV-2 outbreak showed the world that we were unable to predict the course of the pandemic. This study is a part of a project that aims at developing methodologies to predict viral variants of high risk in an effort to stay ahead of the next pandemic. We investigate the feasibility of computationally predicting the structures of single mutation variants with AlphaFold-2 and ESMFold and using this information as input to a XGBoost regression model that predicts empirical biophysical properties associated with high-risk Omicron variants. This study illustrates that data intensive regression models when coupled with structure prediction tools, can to contribute to pandemic preparedness." assertion.
- STAYAHEAD_M creator 0009-0004-2188-0817 assertion.
- STAYAHEAD_M subject c_4318 assertion.
- STAYAHEAD_M contributor 0000-0001-8888-635X assertion.
- STAYAHEAD_M language en assertion.
- bxae4 license CC-BY-4.0 assertion.
- STAYAHEAD_M publisher 008xxew50 assertion.
- bxae4 issued "2024" assertion.
- STAYAHEAD_M hasMetadata RAyOyjxrEp2zFeg0JQQOEt6eF_2n1tfTZmiRn3RTDgu8Y assertion.
- bxae4 hasEncodingFormat pdf assertion.
- bxae4 materializes STAYAHEAD_M assertion.
- STAYAHEAD_M contactPoint "info@health-holland.com" assertion.
- STAYAHEAD_M hasVersion "v1.0" assertion.
- bxae4 accessURL bxae4 assertion.
- STAYAHEAD_M funder 056cwr036 assertion.