Deep Reinforcement Learning for Modelling Protein Complexes

no code implementations • 11 Mar 2024 • Ziqi Gao, Tao Feng, Jiaxuan You, Chenyi Zi, Yan Zhou, Chen Zhang, Jia Li

In this work, by taking each chain as a node and assembly actions as edges, we show that an acyclic undirected connected graph can be used to predict the structure of multi-chain protein complexes (a. k. a., protein complex modelling, PCM).

Combinatorial Optimization Protein Structure Prediction +1

Weakly Supervised Anomaly Detection via Knowledge-Data Alignment

no code implementations • 6 Feb 2024 • Haihong Zhao, Chenyi Zi, Yang Liu, Chen Zhang, Yan Zhou, Jia Li

In this paper, we introduce a novel framework Knowledge-Data Alignment (KDAlign) to integrate rule knowledge, typically summarized by human experts, to supplement the limited labeled data.

Malware Detection Supervised Anomaly Detection +1