IEEE

M2GCNet: Multi-Modal Graph Convolution Network for Precise Brain Tumor Segmentation Across Multiple MRI Sequences

Abstract: Accurate segmentation of brain tumors across multiple MRI sequences is essential for diagnosis, treatment planning, and clinical decision-making. In this paper, I propose a cutting-edge ...
C&EN

DNA-Templated Assembly of Metalloprotein Mimics with Hydrolytic Activity

Metalloproteins perform a wide range of biological and chemical functions, but elucidating their sequence–function relationships is difficult due to their complex folding pathways and various ...
IEEE

Graph Alignment Neural Network Model With Graph to Sequence Learning

Abstract: Network alignment aims at detecting the corresponding entities across multiple networks, which is an essential basis for the fusion and analysis of multiple network information. Moreover, ...
eLife

Importance of higher-order epistasis in protein sequence-function relationships

In this important work, the authors present a new transformer-based neural network designed to isolate and quantify higher-order epistasis in protein sequences. They provide solid evidence that higher ...
PNAS

Language models reveal a complex sequence basis for adaptive convergent evolution of protein functions

We thank Dr. Jianzhi Zhang, Dr. Xionglei He, Dr. Weiwei Zhai, Shanshan Chen, Han Liu, Tianhan Wang, and three anonymous reviewers for valuable comments. This work was supported by the Strategic ...
C&EN

De Novo Design of High-Performance Sec-type Signal Peptide via a Hybrid Deep Learning Architecture

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, 200237 Shanghai, China State Key Laboratory of Genetic Engineering, Fudan University, 200438 Shanghai, ...