Feixiong Cheng

发表

Deep Learning-Based Prediction of Drug-Induced Cardiotoxicity

Chuipu Cai, Pengfei Guo, Yadi Zhou, 2019, J. Chem. Inf. Model..

Estimation of ADME Properties with Substructure Pattern Recognition

Jie Shen, Feixiong Cheng, You Xu, 2010, J. Chem. Inf. Model..

Advances in computational approaches for prioritizing driver mutations and significantly mutated genes in cancer genomes

Zhongming Zhao, Feixiong Cheng, Junfei Zhao, 2016, Briefings Bioinform..

In silico prediction of Tetrahymena pyriformis toxicity for diverse industrial chemicals with substructure pattern recognition and machine learning methods.

Yue Yu, Jie Shen, Feixiong Cheng, 2011, Chemosphere.

Computational models to predict endocrine-disrupting chemical binding with androgen or oestrogen receptors.

Lu Sun, Feixiong Cheng, Weihua Li, 2014, Ecotoxicology and environmental safety.

Entropy‐based consensus clustering for patient stratification

Yun Fu, Hongfu Liu, Feixiong Cheng, 2017, Bioinform..

Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers

Ruth Nussinov, Feixiong Cheng, Hyunbum Jang, 2019, PLoS Comput. Biol..

In silico ADMET prediction: recent advances, current challenges and future trends.

Feixiong Cheng, Yun Tang, Weihua Li, 2013, Current topics in medicinal chemistry.

In Silico Oncology Drug Repositioning and Polypharmacology.

Feixiong Cheng, F. Cheng, 2018, Methods in molecular biology.

Network-based prediction of drug combinations

Albert-László Barabási, Feixiong Cheng, István A. Kovács, 2019, Nature Communications.

ccmGDB: a database for cancer cell metabolism genes

Zhongming Zhao, Feixiong Cheng, Pora Kim, 2015, Nucleic Acids Res..

In silico polypharmacology of natural products

Chuang Liu, Qi Wang, Jiansong Fang, 2017, Briefings Bioinform..

In Silico Assessment of Chemical Biodegradability

Jie Shen, Yue Yu, Yadi Zhou, 2012, J. Chem. Inf. Model..

Target identification among known drugs by deep learning from heterogeneous networks

Xiangxiang Zeng, Ruth Nussinov, Feixiong Cheng, 2020, Chemical science.

Precision medicine review: rare driver mutations and their biophysical classification

Ruth Nussinov, Feixiong Cheng, Hyunbum Jang, 2019, Biophysical Reviews.

Prediction of human genes and diseases targeted by xenobiotics using predictive toxicogenomic-derived models (PTDMs).

Jie Shen, Yadi Zhou, Feixiong Cheng, 2013, Molecular bioSystems.

Systematic dissection of dysregulated transcription factor–miRNA feed-forward loops across tumor types

Wei Jiang, Chen-Ching Lin, Zhongming Zhao, 2015, Briefings Bioinform..

A component overlapping attribute clustering (COAC) algorithm for single-cell RNA sequencing data analysis and potential pathobiological implications

Xiangxiang Zeng, Ruth Nussinov, Yadi Zhou, 2019, PLoS Comput. Biol..

Repurpose Open Data to Discover Therapeutics for COVID-19 Using Deep Learning

George Karypis, Yadi Zhou, Feixiong Cheng, 2020, Journal of proteome research.

Prediction of Chemical-Protein Interactions Network with Weighted Network-Based Inference Method

Yadi Zhou, Feixiong Cheng, Yun Tang, 2012, PloS one.

A Gene Gravity Model for the Evolution of Cancer Genomes: A Study of 3,000 Cancer Genomes across 9 Cancer Types

Chuang Liu, Chen-Ching Lin, Peilin Jia, 2015, PLoS Comput. Biol..

A Novel Clustering Method for Patient Stratification

Yun Fu, Hongfu Liu, Feixiong Cheng, 2016 .

In silico Prediction of Chemical Ames Mutagenicity

Feixiong Cheng, Zheng Du, Guixia Liu, 2012, J. Chem. Inf. Model..

A network-based approach to uncover microRNA-mediated disease comorbidities and potential pathobiological implications

Xiangxiang Zeng, Feixiong Cheng, Shuting Jin, 2019, npj Systems Biology and Applications.

Unbinding Pathways of GW4064 from Human Farnesoid X Receptor As Revealed by Molecular Dynamics Simulations

Jing Fu, Feixiong Cheng, Guixia Liu, 2012, J. Chem. Inf. Model..

Investigating cellular network heterogeneity and modularity in cancer: a network entropy and unbalanced motif approach

Chuang Liu, Zhongming Zhao, Feixiong Cheng, 2016, BMC Systems Biology.

Prediction of Drug-Target Interactions and Drug Repositioning via Network-Based Inference

Chuang Liu, Jin Huang, Feixiong Cheng, 2012, PLoS Comput. Biol..

Systems Biology-Based Investigation of Cellular Antiviral Drug Targets Identified by Gene-Trap Insertional Mutagenesis

Zhongming Zhao, Feixiong Cheng, Junfei Zhao, 2016, PLoS Comput. Biol..

deepDR: a network-based deep learning approach to in silico drug repositioning

Xiangrong Liu, Xiangxiang Zeng, Ruth Nussinov, 2019, Bioinform..

In Silico Pharmacoepidemiologic Evaluation of Drug-Induced Cardiovascular Complications Using Combined Classifiers

Qi Wang, Chuipu Cai, Pengfei Guo, 2018, J. Chem. Inf. Model..

Adverse Drug Events: Database Construction and in Silico Prediction

Jie Shen, Yadi Zhou, Feixiong Cheng, 2013, J. Chem. Inf. Model..

Network-based prediction of drug-target interactions using an arbitrary-order proximity embedded deep forest

Xiangxiang Zeng, Jing Li, Ruth Nussinov, 2020, Bioinform..

Individualized genetic network analysis reveals new therapeutic vulnerabilities in 6,700 cancer genomes

Ruth Nussinov, Feixiong Cheng, Junfei Zhao, 2020, PLoS Comput. Biol..

Individualized network-based drug repositioning infrastructure for precision oncology in the panomics era

Sheng-Yong Yang, Feixiong Cheng, Huixiao Hong, 2016, Briefings Bioinform..

Artificial intelligence in COVID-19 drug repurposing

Ruth Nussinov, Feixiong Cheng, Jian Tang, 2020, The Lancet Digital Health.

Publisher Correction: Network-based prediction of drug combinations

Albert-László Barabási, Feixiong Cheng, István A. Kovács, 2019, Nature Communications.

A network-based drug repositioning infrastructure for precision cancer medicine through targeting significantly mutated genes in the human cancer genomes

Zhongming Zhao, Feixiong Cheng, Junfei Zhao, 2016, J. Am. Medical Informatics Assoc..

SGDriver: a novel structural genomics-based approach to prioritize cancer related and potentially druggable somatic mutations

Zhongming Zhao, Feixiong Cheng, Junfei Zhao, 2015, BMC Bioinformatics.

In Silico Prediction of Chemical Acute Oral Toxicity Using Multi-Classification Methods

Xiao Li, Feixiong Cheng, Xu Shen, 2014, J. Chem. Inf. Model..

SDTNBI: an integrated network and chemoinformatics tool for systematic prediction of drug–target interactions and drug repositioning

Jie Li, Feixiong Cheng, Guixia Liu, 2016, Briefings Bioinform..

Correction: Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers

Ruth Nussinov, Feixiong Cheng, Hyunbum Jang, 2019, PLoS Comput. Biol..

Prediction of Polypharmacological Profiles of Drugs by the Integration of Chemical, Side Effect, and Therapeutic Space

Jie Li, Chen Zhang, Feixiong Cheng, 2013, J. Chem. Inf. Model..

Classification of Cytochrome P450 Inhibitors and Noninhibitors Using Combined Classifiers

Lei Yang, Jie Shen, Yue Yu, 2011, J. Chem. Inf. Model..

Correction to "admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties"

Yadi Zhou, Feixiong Cheng, Jie Shen, 2019, J. Chem. Inf. Model..

admetSAR: A Comprehensive Source and Free Tool for Assessment of Chemical ADMET Properties

Jie Shen, Yadi Zhou, Feixiong Cheng, 2012, J. Chem. Inf. Model..

Prediction of chemical-protein interactions: multitarget-QSAR versus computational chemogenomic methods.

Yadi Zhou, Feixiong Cheng, Yun Tang, 2012, Molecular bioSystems.

In silico prediction of chemical mechanism of action via an improved network‐based inference method

Jie Li, Feixiong Cheng, Zengrui Wu, 2016, British journal of pharmacology.

Artificial Intelligence for Drug Discovery

Feixiong Cheng, Jian Tang, Fei Wang, 2021, KDD.

A network-based deep learning methodology for stratification of tumor mutations

Ruth Nussinov, Feixiong Cheng, Zi-Ke Zhang, 2021, Bioinform..

Quantitative and Systems Pharmacology. 1. In Silico Prediction of Drug-Target Interactions of Natural Products Enables New Targeted Cancer Therapy

Chuipu Cai, Feixiong Cheng, Zengrui Wu, 2017, J. Chem. Inf. Model..

In silico prediction of chemical toxicity on avian species using chemical category approaches.

Feixiong Cheng, Weihua Li, Yun Tang, 2015, Chemosphere.

Quantitative and Systems Pharmacology 3. Network-Based Identification of New Targets for Natural Products Enables Potential Uses in Aging-Associated Disorders

Feixiong Cheng, Qihui Wu, Jiansong Fang, 2017, Front. Pharmacol..

Network-based approach to prediction and population-based validation of in silico drug repurposing

Albert-László Barabási, Feixiong Cheng, Joseph Loscalzo, 2018, Nature Communications.

Tissue-Specific Signaling Networks Rewired by Major Somatic Mutations in Human Cancer Revealed by Proteome-Wide Discovery.

Zhongming Zhao, Feixiong Cheng, Junfei Zhao, 2017, Cancer research.

Suppression of KRas-mutant cancer through the combined inhibition of KRAS with PLK1 and ROCK

Xiufeng Pang, Feixiong Cheng, Weiqiang Lu, 2016, Nature Communications.

Biomarker-based drug safety assessment in the age of systems pharmacology: from foundational to regulatory science.

Feixiong Cheng, Huixiao Hong, Yun Tang, 2015, Biomarkers in medicine.

Computational prediction of microRNA networks incorporating environmental toxicity and disease etiology

Jie Li, Feixiong Cheng, Weihua Li, 2014, Scientific Reports.

KRAS Activating Signaling Triggers Arteriovenous Malformations.

Ruth Nussinov, Feixiong Cheng, R. Nussinov, 2018, Trends in biochemical sciences.

Regulation rewiring analysis reveals mutual regulation between STAT1 and miR-155-5p in tumor immunosurveillance in seven major cancers

Chen-Ching Lin, Zhongming Zhao, Feixiong Cheng, 2015, Scientific Reports.

Systematic Prioritization of Druggable Mutations in ∼5000 Genomes Across 16 Cancer Types Using a Structural Genomics-based Approach*

Zhongming Zhao, Feixiong Cheng, Junfei Zhao, 2015, Molecular & Cellular Proteomics.

Pan-Cancer Analysis of lncRNA Regulation Supports Their Targeting of Cancer Genes in Each Tumor Context

Clement Adebamowo, Ritika Kundra, Steven J. M. Jones, 2018, Cell reports.

Network-based Translation of GWAS Findings to Pathobiology and Drug Repurposing for Alzheimer’s Disease

Yadi Zhou, Feixiong Cheng, Bin Zhang, 2020 .

A cross-cancer differential co-expression network reveals microRNA-regulated oncogenic functional modules.

Chen-Ching Lin, Zhongming Zhao, Feixiong Cheng, 2015, Molecular bioSystems.

Pharmacophore modeling of human adenosine receptor A2A antagonists

Feixiong Cheng, Yun Tang, Zhejun Xu, 2010, Journal of molecular modeling.

FXR antagonism of NSAIDs contributes to drug-induced liver injury identified by systems pharmacology approach

Feixiong Cheng, Jin Huang, Weiqiang Lu, 2015, Scientific Reports.

Heterogeneous DNA methylation contributes to tumorigenesis through inducing the loss of coexpression connectivity in colorectal cancer

Peilin Jia, Zhongming Zhao, Feixiong Cheng, 2015, Genes, chromosomes & cancer.

Transcriptome- and proteome-oriented identification of dysregulated eIF4G, STAT3, and Hippo pathways altered by PIK3CAH1047R in HER2/ER-positive breast cancer

Zhongming Zhao, Feixiong Cheng, Junfei Zhao, 2016, Breast Cancer Research and Treatment.

Investigation of Indazole Unbinding Pathways in CYP2E1 by Molecular Dynamics Simulations

Feixiong Cheng, Weihua Li, Yun Tang, 2012, PloS one.

In silico Prediction of Drug Induced Liver Toxicity Using Substructure Pattern Recognition Method

Feixiong Cheng, Weihua Li, Yun Tang, 2016, Molecular informatics.

Network-based identification of microRNAs as potential pharmacogenomic biomarkers for anticancer drugs

Feixiong Cheng, Zengrui Wu, Weihua Li, 2016, Oncotarget.

Molecular Characterization and Clinical Relevance of Metabolic Expression Subtypes in Human Cancers

Zhongming Zhao, Feixiong Cheng, Jun Li, 2018, Cell reports.

Personal Mutanomes Meet Modern Oncology Drug Discovery and Precision Health

Atul J. Butte, Ruth Nussinov, Feixiong Cheng, 2018, Pharmacological Reviews.

Quantitative and systems pharmacology 2. In silico polypharmacology of G protein‐coupled receptor ligands via network‐based approaches

Xiufeng Pang, Feixiong Cheng, Zengrui Wu, 2017, Pharmacological research.

Insights into binding modes of adenosine A(2B) antagonists with ligand-based and receptor-based methods.

Feixiong Cheng, Yun Tang, Zhejun Xu, 2010, European journal of medicinal chemistry.