Unconstrained generation of synthetic antibody-antigen structures to guide machine learning methodology for antibody specificity prediction.
Philippe A. RobertRahmad AkbarRobert FrankMilena PavlovicMichael WidrichIgor SnapkovAndrei SlabodkinMaria ChernigovskayaLonneke SchefferEva SmorodinaPuneet RawatBrij Bhushan MehtaMai Ha VuIngvild Frøberg MathisenAurél PrószKrzysztof AbramAlex OlarEnkelejda MihoDag Trygve Truslew HaugFridtjof Lund-JohansenSepp HochreiterIngrid Hobæk HaffGünter KlambauerGeir Kjetil SandveVictor GreiffPublished in: Nat. Comput. Sci. (2022)
Keyphrases
- immune response
- immune cells
- machine learning
- artificial immune system
- immune memory
- artificial immune
- prediction accuracy
- decision trees
- clonal selection
- computational intelligence
- learning algorithm
- learning systems
- computer vision
- machine learning approaches
- feature selection
- clonal selection algorithm
- explanation based learning
- prediction error
- inductive learning
- prediction algorithm
- statistical machine learning
- real world
- data mining
- machine learning methods
- knowledge representation
- pattern recognition
- natural language
- predictive modeling
- immune network
- genetic algorithm
- artificial intelligence
- active learning
- prediction model
- generation process
- information extraction
- mutation operator
- neural network
- computational biology