Members: Yong He, Zheng Wang, Zhaorong Li, Mang Shi, Yongtao Shan, Yuan-Fei Pan, Min Zhou, Yan Sun, Yuqi Liu
LucaOne. The resources of LucaOne, including: the model code, training scripts, embedding inference code, and trained checkpoints.
367LucaOneTasks. The project of the downstream tasks based on LucaOne's Embedding.
76LucaVirus. LucaVirus: Modeling the Evolutionary and Functional Landscape of Viruses with a Unified Genome-Protein Language Model
74LucaOneApp. LucaOne’s representational inference code. Use this project for embedding inference.
68LucaVirusTasks. The project of the downstream tasks based on LucaVirus.
39LucaPCycle. We developed a dual-channel model named LucaPCycle, based on the raw sequence and protein language large models, to predict whether a protein sequence has phosphate-solubilizing functionality and its specific type among the 31 fine-grained functions.
36LucaProt. LucaProt: A novel deep learning framework that incorporates protein amino acid sequence and structural information to predict protein function.
31AMANet. KDD '20: Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining: Attention and Memory-Augmented Networks for Dual-View Sequential Learning
29