Peptides are among the smallest functional biomolecules. Learning to systematically design their activity would revolutionize biology and medicine. Yet achieving this goal remains an open challenge. Recent advances in machine learning enable the discovery and design of peptides at scale, not only yielding new antibioti...
Si-Han Chen, Xiao-Yu Wang, Fu-Yi Li et al.· Annual Review of Microbiolog...· 0 citations
INTRODUCTION
Liquid-liquid phase separation (LLPS) drives cellular organization through scaffold proteins that initiate condensate formation and client proteins that partition into them. Current computational tools lack precision in differentiating these functional classes and identifying key intrinsically disordered r...
Liping Xu, Sheng-Ming Zhou, Zixu Ran et al.· Journal of Advanced Research· 0 citations
MetalDiagnosis is proposed, a deep learning framework that integrates an improved equivariant graph neural network with a pre-trained protein language model to predict disease-associated mutation sites in metal-binding proteins and employs a sliding-window strategy to extract deep contextual semantic information from t...
Xudong Guo, Runchang Jia, Heyun Sun et al.· IEEE journal of biomedical a...· 0 citations
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