collaborators

5 papers

q-bio.BM2025

Discontinuous Epitope Fragments as Sufficient Target Templates for Efficient Binder Design

Zhenfeng Deng, Ruijie Hou, Ningrui Xie +2

Recent advances in structure-based protein design have accelerated de novo binder generation, yet interfaces on large domains or spanning multiple domains remain challenging due to…

cs.AI2025

Measuring Scientific Capabilities of Language Models with a Systems Biology Dry Lab

Haonan Duan, Stephen Zhewen Lu, Caitlin Fiona Harrigan +5

Designing experiments and result interpretations are core scientific competencies, particularly in biology, where researchers perturb complex systems to uncover the underlying syst…

cs.LG2025

SynCoGen: Synthesizable 3D Molecule Generation via Joint Reaction and Coordinate Modeling

Andrei Rekesh, Miruna Cretu, Dmytro Shevchuk +6

Synthesizability remains a critical bottleneck in generative molecular design. While recent advances have addressed synthesizability in 2D graphs, extending these constraints to 3D…

q-bio.BM2025

Scalable and Cost-Efficient de Novo Template-Based Molecular Generation

Piotr Gaiński, Oussama Boussif, Andrei Rekesh +5

Template-based molecular generation offers a promising avenue for drug design by ensuring generated compounds are synthetically accessible through predefined reaction templates and…

cs.LG2025

Learning Decision Trees as Amortized Structure Inference

Mohammed Mahfoud, Ghait Boukachab, Michał Koziarski +4

Building predictive models for tabular data presents fundamental challenges, notably in scaling consistently, i.e., more resources translating to better performance, and generalizi…