All Competitors

A protein language model that injects explicit structural constraints via structure-guided masking and a causal objective for efficient, structure-aware representation learning.

Rigidity-aware geometric pretraining framework that front-loads SE(3) geometry learning to improve protein backbone generation, motif scaffolding, and conformational ensemble modeling.

Energy-based model of protein conformational space derived from diffusion-model likelihoods, usable as a universal statistical potential for many tasks.

Tri-modal contrastive framework that aligns protein structure, sequence, and natural-language description in a shared space for zero-shot retrieval and classification.