3 papers
Transformer-Based Active Learning for Data-Efficient Vaccine Epitope Selection in PRRS
Aspen Erlandsson Brisebois, Zahed Khatooni, Connor Burbridge +5
High-fidelity molecular docking simulations can produce biologically relevant estimates of epitope-receptor binding affinity but are computationally expensive and therefore limit t…
Exploring the Effects of Entanglement on Quantum Machine Learning of Pathogen Epitope-Receptor Binding
Aspen Erlandsson Brisebois, Luis Pablo Gonzalez Dominguez, Shivansi Prajapati +8
Parameterized quantum circuits (PQCs) provide a flexible substrate for hybrid quantum machine learning (QML), but their practical value on Noisy Intermediate-Scale Quantum (NISQ) d…
Identifying Protein Co-regulatory Network Logic by Solving B-SAT Problems through Gate-based Quantum Computing
Aspen Erlandsson Brisebois, Jason Broderick, Zahed Khatooni +3
There is growing awareness that the success of pharmacologic interventions on living organisms is significantly impacted by context and timing of exposure. In turn, this complexity…