Citation Impact
Citing Papers
A multiple kernel learning algorithm for drug-target interaction prediction
2016
Application of a hierarchical enzyme classification method reveals the role of gut microbiome in human metabolism
2015
Prediction of Antimicrobial Peptides Based on Sequence Alignment and Feature Selection Methods
2011
Gut microbiota functions: metabolism of nutrients and other food components
2017 Standout
A paradigm shift in medicine: A comprehensive review of network-based approaches
2019
Tools for in silico target fishing
2014
Designing antimicrobial peptides: form follows function
2011 Standout
Drug repurposing: progress, challenges and recommendations
2018 Standout
Predicting Anticancer Drug Response With Deep Learning Constrained by Signaling Pathways
2021
Artificial intelligence in drug development: present status and future prospects
2018 Standout
Reverse Screening Methods to Search for the Protein Targets of Chemopreventive Compounds
2018
Revolutionizing healthcare: the role of artificial intelligence in clinical practice
2023 Standout
Review of deep learning: concepts, CNN architectures, challenges, applications, future directions
2021 Standout
DPDR-CPI, a server that predicts Drug Positioning and Drug Repositioning via Chemical-Protein Interactome
2016
A review of computational drug repurposing
2019
Artificial intelligence in drug discovery and development
2020 Standout
Integrative methods for analyzing big data in precision medicine
2015
A review of network-based approaches to drug repositioning
2017
An intelligent healthcare monitoring framework using wearable sensors and social networking data
2020 Standout
An investigation into the identification of potential inhibitors of SARS-CoV-2 main protease using molecular docking study
2020 Standout
SwissTargetPrediction: updated data and new features for efficient prediction of protein targets of small molecules
2019 Standout
Molecular Docking: Shifting Paradigms in Drug Discovery
2019 Standout
Drug repurposing for viral cancers: A paradigm of machine learning, deep learning, and virtual screening‐based approaches
2023
DEEPre: sequence-based enzyme EC number prediction by deep learning
2017
iDTi-CSsmoteB: Identification of Drug–Target Interaction Based on Drug Chemical Structure and Protein Sequence Using XGBoost With Over-Sampling Technique SMOTE
2019
Predicting Drug-Target Interactions Using Drug-Drug Interactions
2013
The STRING database in 2021: customizable protein–protein networks, and functional characterization of user-uploaded gene/measurement sets
2020 Standout
Works of Yongcui Wang being referenced
Kernel-based data fusion improves the drug–protein interaction prediction
2011
Drug Repositioning by Kernel-Based Integration of Molecular Structure, Molecular Activity, and Phenotype Data
2013
Support vector machine prediction of enzyme function with conjoint triad feature and hierarchical context
2011
Prediction of Enzyme Subfamily Class via Pseudo Amino Acid Composition by Incorporating the Conjoint Triad Feature
2010
Inferences of drug responses in cancer cells from cancer genomic features and compound chemical and therapeutic properties
2016
Computationally Probing Drug-Protein Interactions Via Support Vector Machine
2010
DeepDRK: a deep learning framework for drug repurposing through kernel-based multi-omics integration
2021
Network predicting drug’s anatomical therapeutic chemical code
2013