3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.LG2026
Quantifying Memorization and Privacy Risks in Genomic Language Models
Alexander Nemecek, Wenbiao Li, Xiaoqian Jiang +2
Genomic language models (GLMs) have emerged as powerful tools for learning representations of DNA sequences, enabling advances in variant prediction, regulatory element identificat…
cs.CE2025
Structure-Aware Antibody Design with Affinity-Optimized Inverse Folding
Xinyan Zhao, Yi-Ching Tang, Rivaaj Monsia +6
Motivation: The clinical efficacy of antibody therapeutics critically depends on high-affinity target engagement, yet laboratory affinity-maturation campaigns are slow and costly.…
q-bio.QM2025★ 3 cited
A Comprehensive Benchmark of Computational Models for Antibody--Antigen Binding Affinity
Xinyan Zhao, Yi-Ching Tang, Akshita Singh +9
Computational antibody design requires benchmarks that measure functional binding rather than similarity to natural sequences. Here we present AbBiBench, which treats the antibody-…