1 citations · 1 across the 2 of their papers we have counts for
2 papers
q-bio.QM2024★ 1 cited
MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor
Li Wang, Xiangzheng Fu, Jiahao Yang +5
Deep learning holds a big promise for optimizing existing peptides with more desirable properties, a critical step towards accelerating new drug discovery. Despite the recent emerg…
q-bio.QM2024
HMAMP: Hypervolume-Driven Multi-Objective Antimicrobial Peptides Design
Li Wang, Yiping Li, Xiangzheng Fu +4
Antimicrobial peptides (AMPs) have exhibited unprecedented potential as biomaterials in combating multidrug-resistant bacteria. Despite the increasing adoption of artificial intell…