Odin Zhang

RFOptimization improves all-atom biomolecular binder design by combining gradient-guided sequence optimization with orthogonal predictors to enhance in silico success rates.

NACraft generates high-confidence nucleic-acid aptamers for diverse protein targets using a programmatic framework with structure-model feedback, outperforming existing methods in several evaluations.

ECloudGen improves molecular design by using electron clouds as latent variables, generating more potent binders and exploring broader chemical space than existing methods.

An all-atom diffusion model using a 14-atom residue representation and sparse U-Net architecture accelerates biomolecular design 10-fold, enabling experimentally validated DNA-binding proteins and multi-turnover cysteine hydrolases.

AtomWorks, a modular atom-level data framework, trains structure prediction and design models; the resulting RF3 improves chirality handling and performs between AF3 and Boltz.

GeoAB improves antibody design by generating realistic CDR structures and enabling accurate affinity maturation through mutation effect prediction.

PPFlow designs target-aware peptides using torsional flow matching, achieving state-of-the-art performance in peptide drug generation and optimization.

The paper reanalyzes millions of molecular profiles to identify aging interventions using AI agents, finding over 500 interventions that reduce biological age and revealing patterns in aging modulation.