(a) Protein sequence-structure co-design with PocketGen; (b) Dual-layer graph Transformer encoder; (c) Pre-trained protein language model for sequence prediction and efficient fine-tuning. Researchers ...

Researchers from the University of Science and Technology of China (USTC), led by Prof. Liu Qi, in collaboration with Harvard Medical School's Marinka Zitnik lab, have developed a novel deep ...

The classic methodology of inferring a phylogenetic tree from sequence data is composed of two steps. First, a multiple sequence alignment (MSA) is computed. Then, a tree is reconstructed assuming the ...

Designing de novo proteins holds immense potential for achieving superior combinations of novel functions and mechanical properties, thereby advancing biological and engineering applications. However, ...