Hayat Ali Shah

According to our database, Hayat Ali Shah authored at least 7 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Gtie-Rt: A comprehensive graph learning model for predicting drugs targeting metabolic pathways in human.

Hayat Ali Shah, Juan Liu, Zhihui Yang

J. Bioinform. Comput. Biol., June, 2024

Planning biosynthetic pathways of target molecules based on metabolic reaction prediction and AND-OR tree search.

Xiaolei Zhang, Juan Liu, Feng Yang, Qiang Zhang, Zhihui Yang, Hayat Ali Shah

Comput. Biol. Chem., 2024

2023

FragDPI: a novel drug-protein interaction prediction model based on fragment understanding and unified coding.

Zhihui Yang, Juan Liu, Xuekai Zhu, Feng Yang, Qiang Zhang, Hayat Ali Shah

Frontiers Comput. Sci., October, 2023

DeepRT: Predicting compounds presence in pathway modules and classifying into module classes using deep neural networks based on molecular properties.

Hayat Ali Shah, Juan Liu, Zhihui Yang, Feng Yang, Qiang Zhang, Jing Feng

J. Bioinform. Comput. Biol., August, 2023

DeepMAT: Predicting Metabolic Pathways of Compounds Using a Message Passing and Attention-Based Neural Networks.

Hayat Ali Shah, Juan Liu, Zhihui Yang, Jing Feng

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

DeepRF: A deep learning method for predicting metabolic pathways in organisms based on annotated genomes.

Hayat Ali Shah, Juan Liu, Zhihui Yang, Xiaolei Zhang, Jing Feng

Comput. Biol. Medicine, 2022

A novel hybrid framework for metabolic pathways prediction based on the graph attention network.

Zhihui Yang, Juan Liu, Hayat Ali Shah, Jing Feng

BMC Bioinform., 2022