Milong Ren

ComplexDesign is a method for designing multichain protein complexes by optimizing sequences to fold proteins and form inter-chain interactions, achieving high success rates in designing dimers, trimers, and tetramers.

This paper introduces OCDesign, a curriculum-guided framework for multi-property protein design, showing that staged objective introduction improves success rates compared to one-shot optimization.

Protenix-v2 improves structure prediction and biomolecular design, achieving higher success rates in antibody-antigen and GPCR target tasks, with high developability and diversity in resulting hits.

PXDesign achieves high hit rates for protein binder design by combining generative models and filtering strategies, validated experimentally and made publicly available.

The paper introduces ImmuneFold, a transfer learning method for immune protein structure prediction, showing improved accuracy over existing methods for TCR-epitope binding.

CarbonDesign improves protein sequence design by integrating AlphaFold concepts, achieving high accuracy on benchmark datasets and showing robustness in de novo design and variant effect prediction.