DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening-Reference-Cited by-同舟云学术

DeepCPI: A Deep Learning-based Framework for Large-scale in silico Drug Screening

Published:2019-10 Issue:5 Volume:17 Page:478-495
ISSN:1672-0229
Container-title:Genomics, Proteomics & Bioinformatics
language:en
Short-container-title:Genomics, Proteomics & Bioinformatics

Author:

Wan Fangping^ORCID,Zhu Yue^ORCID,Hu Hailin^ORCID,Dai Antao^ORCID,Cai Xiaoqing^ORCID,Chen Ligong^ORCID,Gong Haipeng^ORCID,Xia Tian,Yang Dehua^ORCID,Wang Ming-Wei^ORCID,Zeng Jianyang^ORCID

Funder

National Natural Science Foundation of China

National Science and Technology Major Project

Key New Drug Creation and Manufacturing Program

Shanghai Science and Technology Development Fund

Publisher

Elsevier BV

Subject

Computational Mathematics,Genetics,Molecular Biology,Biochemistry

Reference75 articles.

1. Predicting new molecular targets for known drugs;Keiser;Nature,2009

2. Large-scale prediction and testing of drug activity on side-effect targets;Lounkine;Nature,2012

3. Shifting from the single to the multitarget paradigm in drug discovery;Medina-Franco;Drug Discov Today,2013

4. Repurposing libraries of eukaryotic protein kinase inhibitors for antibiotic discovery;Walsh;Proc Natl Acad Sci U S A,2009

5. Diagnosing the decline in pharmaceutical R&D efficiency;Scannell;Nat Rev Drug Discov,2012

Cited by 66 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. An escape from ESKAPE pathogens: A comprehensive review on current and emerging therapeutics against antibiotic resistance;International Journal of Biological Macromolecules;2024-11

2. Robust Multi-Graph Multi-Label Learning With Dual-Granularity Labeling;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-10

3. A general prediction model for compound-protein interactions based on deep learning;Frontiers in Pharmacology;2024-09-04

4. The changing scenario of drug discovery using AI to deep learning: Recent advancement, success stories, collaborations, and challenges;Molecular Therapy - Nucleic Acids;2024-09

5. Application of artificial intelligence in drug design: A review;Computers in Biology and Medicine;2024-09