Work

3D genome assisted protein–protein interaction prediction

Year: 2022

Type: article

Source: Future Generation Computer Systems

DOI: 10.1016/j.future.2022.07.005

Authors: Zehua Guo, Liangjie Liu, Mofan Feng, Kai Su, Runqiu Chi, Keyi Li, Qing Lu, Xianbin Su, Lintai Da, Song Cao, Mingxuan Zhang, Luming Meng, Dan Cao, Jiayi Wang, Guang He, Yi Shi

Institutions: Shanghai Jiao Tong University, Shanghai Key Laboratory of Psychotic Disorders, University of California San Diego, International Peace Maternity & Child Health Hospital, Cornell University, Weill Cornell Medicine, South China Normal University, Shanghai Chest Hospital

Language: English

Topic: Bioinformatics and Genomic Networks

Subfield: Molecular Biology

Field: Biochemistry, Genetics and Molecular Biology

Domain: Life Sciences

Open Access status: closed

Funders: Natural Science Foundation of Shanghai, National Natural Science Foundation of China, Shanghai Municipal Education Commission, Science and Technology Commission of Shanghai Municipality, Shanghai Leading Academic Discipline Project, National Key Research and Development Program of China

Awards: G2315389682, G3355279970, G3444074755, G4619900759, G5888865255, G598336005, G6121291239, 基于深度稀疏学习与染色质三维构象的肿瘤精准分型与个性化新抗原发现

OpenAlex ID: W4285403215

FWCI: 0.345

Cites: 58

Cited by: 6

Related to: 10