Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Artificial intelligence in cancer target identification and drug discovery
Artificial intelligence is an advanced method to identify novel anticancer targets and discover
novel drugs from biology networks because the networks can effectively preserve and …
novel drugs from biology networks because the networks can effectively preserve and …
Biomedical data and computational models for drug repositioning: a comprehensive review
Drug repositioning can drastically decrease the cost and duration taken by traditional drug
research and development while avoiding the occurrence of unforeseen adverse events …
research and development while avoiding the occurrence of unforeseen adverse events …
A learning-based method for drug-target interaction prediction based on feature representation learning and deep neural network
J Peng, J Li, X Shang - BMC bioinformatics, 2020 - Springer
Background Drug-target interaction prediction is of great significance for narrowing down the
scope of candidate medications, and thus is a vital step in drug discovery. Because of the …
scope of candidate medications, and thus is a vital step in drug discovery. Because of the …
Drug repurposing for Alzheimer's disease from 2012–2022—A 10-year literature review
Background: Alzheimer's disease (AD) is a debilitating neurodegenerative condition with
few treatment options available. Drug repurposing studies have sought to identify existing …
few treatment options available. Drug repurposing studies have sought to identify existing …
Therapeutic drug repositioning with special emphasis on neurodegenerative diseases: Threats and issues
Drug repositioning or repurposing is the process of discovering leading-edge indications for
authorized or declined/abandoned molecules for use in different diseases. This approach …
authorized or declined/abandoned molecules for use in different diseases. This approach …
Review on predicting pairwise relationships between human microbes, drugs and diseases: from biological data to computational models
L Wang, Y Tan, X Yang, L Kuang… - Briefings in …, 2022 - academic.oup.com
In recent years, with the rapid development of techniques in bioinformatics and life science,
a considerable quantity of biomedical data has been accumulated, based on which …
a considerable quantity of biomedical data has been accumulated, based on which …
SemaTyP: a knowledge graph based literature mining method for drug discovery
Background Drug discovery is the process through which potential new medicines are
identified. High-throughput screening and computer-aided drug discovery/design are the …
identified. High-throughput screening and computer-aided drug discovery/design are the …
A paradigm shift in medicine: A comprehensive review of network-based approaches
Network medicine is a rapidly evolving new field of medical research, which combines
principles and approaches of systems biology and network science, holding the promise to …
principles and approaches of systems biology and network science, holding the promise to …
Drug repositioning through integration of prior knowledge and projections of drugs and diseases
Motivation Identifying and develo** novel therapeutic effects for existing drugs contributes
to reduction of drug development costs. Most of the previous methods focus on integration of …
to reduction of drug development costs. Most of the previous methods focus on integration of …
Graph convolutional autoencoder and fully-connected autoencoder with attention mechanism based method for predicting drug-disease associations
Predicting novel uses for approved drugs helps in reducing the costs of drug development
and facilitates the development process. Most of previous methods focused on the multi …
and facilitates the development process. Most of previous methods focused on the multi …