3 papers
q-bio.BM2026
AI Developments for T and B Cell Receptor Modeling and Therapeutic Design
Linhui Xie, Aurelien Pelissier, Yanjun Shao +1
Artificial intelligence (AI) is accelerating progress in modeling T and B cell receptors by enabling predictive and generative frameworks grounded in sequence data and immune conte…
q-bio.BM2025
AbRank: A Benchmark Dataset and Metric-Learning Framework for Antibody-Antigen Affinity Ranking
Chunan Liu, Aurelien Pelissier, Yanjun Shao +4
Accurate prediction of antibody-antigen (Ab-Ag) binding affinity is essential for therapeutic design and vaccine development, yet the performance of current models is limited by no…
q-bio.QM2025
Practical and scalable simulations of non-Markovian stochastic processes and temporal networks with individual node properties
Aurelien Pelissier, Miroslav Phan, Didier Le Bail +2
Discrete stochastic processes are prevalent in natural systems, with applications in physics, biochemistry, epidemiology, sociology, and finance. While analytic solutions often can…