7 citations · 8 across the 3 of their papers we have counts for
3 papers
q-bio.QM2024★ 1 cited
Pan-protein Design Learning Enables Task-adaptive Generalization for Low-resource Enzyme Design
Jiangbin Zheng, Ge Wang, Han Zhang +1
Computational protein design (CPD) offers transformative potential for bioengineering, but current deep CPD models, focused on universal domains, struggle with function-specific de…
q-bio.BM2024
MetaEnzyme: Meta Pan-Enzyme Learning for Task-Adaptive Redesign
Jiangbin Zheng, Han Zhang, Qianqing Xu +2
Enzyme design plays a crucial role in both industrial production and biology. However, this field faces challenges due to the lack of comprehensive benchmarks and the complexity of…
q-bio.BM2024★ 7 cited
Advances of Deep Learning in Protein Science: A Comprehensive Survey
Bozhen Hu, Cheng Tan, Lirong Wu +7
Protein representation learning plays a crucial role in understanding the structure and function of proteins, which are essential biomolecules involved in various biological proces…