most citedMulti-channel learning for integrating structural hierarchies into context-dependent molecular representation

22 citations · 28 across the 5 of their papers we have counts for

collaborators

6 papers

q-bio.BM2024

Discovery of novel antimicrobial peptides with notable antibacterial potency by a LLM-based foundation model

Jike Wang, Jianwen Feng, Yu Kang +16

Large language models (LLMs) have shown remarkable advancements in chemistry and biomedical research, acting as versatile foundation models for various tasks. We introduce AMP-Desi…

cs.AI2024★ 1 cited

AAVDiff: Experimental Validation of Enhanced Viability and Diversity in Recombinant Adeno-Associated Virus (AAV) Capsids through Diffusion Generation

Lijun Liu, Jiali Yang, Jianfei Song +8

Recombinant adeno-associated virus (rAAV) vectors have revolutionized gene therapy, but their broad tropism and suboptimal transduction efficiency limit their clinical applications…

physics.chem-ph2024★ 3 cited

Deep Geometry Handling and Fragment-wise Molecular 3D Graph Generation

Odin Zhang, Yufei Huang, Shichen Cheng +14

Most earlier 3D structure-based molecular generation approaches follow an atom-wise paradigm, incrementally adding atoms to a partially built molecular fragment within protein pock…

q-bio.BM2024

Generative AI for Controllable Protein Sequence Design: A Survey

Yiheng Zhu, Zitai Kong, Jialu Wu +6

The design of novel protein sequences with targeted functionalities underpins a central theme in protein engineering, impacting diverse fields such as drug discovery and enzymatic…

q-bio.BM2023★ 2 cited

Multiscale Topology in Interactomic Network: From Transcriptome to Antiaddiction Drug Repurposing

Hongyan Du, Guo-Wei Wei, Tingjun Hou

The escalating drug addiction crisis in the United States underscores the urgent need for innovative therapeutic strategies. This study embarked on an innovative and rigorous strat…

cs.LG2023★ 22 cited

Multi-channel learning for integrating structural hierarchies into context-dependent molecular representation

Yue Wan, Jialu Wu, Tingjun Hou +2

Reliable molecular property prediction is essential for various scientific endeavors and industrial applications, such as drug discovery. However, the data scarcity, combined with…