Analyzing of Molecular Networks for Human Diseases and Drug Discovery
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Dan Wu | Edwin Wang | Qian Wang | Tong Hao | Jinsheng Sun | Lingxuan Zhao | E. Wang | Tong Hao | Dan Wu | Lingxuan Zhao | Jinsheng Sun | Qian Wang | Edwin Wang | Jinsheng Sun
[1] Pablo Villoslada,et al. A computational analysis of protein-protein interaction networks in neurodegenerative diseases , 2008, BMC Systems Biology.
[2] Li Jin,et al. A systematic characterization of genes underlying both complex and Mendelian diseases. , 2012, Human molecular genetics.
[3] E. Wang,et al. Dynamic modeling and analysis of cancer cellular network motifs. , 2011, Integrative biology : quantitative biosciences from nano to macro.
[4] Diego Alonso-López,et al. Human Interactomics: Comparative Analysis of Different Protein Interaction Resources and Construction of a Cancer Protein-Drug Bipartite Network. , 2018, Advances in protein chemistry and structural biology.
[5] M. Carson,et al. Network-based prediction and knowledge mining of disease genes , 2015, BMC Medical Genomics.
[6] Edwin Wang,et al. Network Analysis Reveals A Signaling Regulatory Loop in the PIK3CA-mutated Breast Cancer Predicting Survival Outcome , 2017, Genom. Proteom. Bioinform..
[7] Kathryn E. Hentges,et al. Defining the Role of Essential Genes in Human Disease , 2011, PloS one.
[8] Edwin Wang,et al. Cancer systems biology in the genome sequencing era: part 2, evolutionary dynamics of tumor clonal networks and drug resistance. , 2013, Seminars in cancer biology.
[9] Edwin Wang,et al. Dynamic rewiring of the androgen receptor protein interaction network correlates with prostate cancer clinical outcomes. , 2011, Integrative biology : quantitative biosciences from nano to macro.
[10] Carl Kingsford,et al. The power of protein interaction networks for associating genes with diseases , 2010, Bioinform..
[11] André Schrattenholz,et al. What does systems biology mean for drug development? , 2008, Current medicinal chemistry.
[12] Edwin Wang,et al. Understanding genomic alterations in cancer genomes using an integrative network approach. , 2013, Cancer letters.
[13] Saman K. Halgamuge,et al. The node-weighted Steiner tree approach to identify elements of cancer-related signaling pathways , 2017, BMC Bioinformatics.
[14] M. Oti,et al. The modular nature of genetic diseases , 2006, Clinical genetics.
[15] Andrew Chatr-aryamontri,et al. Structural and functional protein network analyses predict novel signaling functions for rhodopsin , 2011, Molecular systems biology.
[16] Nahid Safari-Alighiarloo,et al. Protein-protein interaction networks (PPI) and complex diseases , 2014, Gastroenterology and hepatology from bed to bench.
[17] Susumu Goto,et al. The commonality of protein interaction networks determined in neurodegenerative disorders (NDDs) , 2007, Bioinform..
[18] Zhongming Zhao,et al. A comparative study of cancer proteins in the human protein-protein interaction network , 2010, BMC Genomics.
[19] Xing Chen,et al. Long non-coding RNAs and complex diseases: from experimental results to computational models , 2016, Briefings Bioinform..
[20] K. Gunsalus,et al. Network modeling links breast cancer susceptibility and centrosome dysfunction. , 2007, Nature genetics.
[21] K. Sachs,et al. Causal Protein-Signaling Networks Derived from Multiparameter Single-Cell Data , 2005, Science.
[22] Xing Chen,et al. MKRMDA: multiple kernel learning-based Kronecker regularized least squares for MiRNA–disease association prediction , 2017, Journal of Translational Medicine.
[23] A. Barabasi,et al. Network medicine : a network-based approach to human disease , 2010 .
[24] Hongdong Li,et al. Multi-level reproducibility of signature hubs in human interactome for breast cancer metastasis , 2010, BMC Systems Biology.
[25] Monirah A. Al-Ajlan,et al. Integrated Genomic and Network-Based Analyses of Complex Diseases and Human Disease Network. , 2016, Journal of genetics and genomics = Yi chuan xue bao.
[26] Zhong-Jun Wu,et al. Constructing the HBV-human protein interaction network to understand the relationship between HBV and hepatocellular carcinoma , 2010, Journal of experimental & clinical cancer research : CR.
[27] T. Ideker,et al. Network-based classification of breast cancer metastasis , 2007, Molecular systems biology.
[28] J. Satoh,et al. Molecular network of the comprehensive multiple sclerosis brain-lesion proteome , 2009, Multiple sclerosis.
[29] Xing Chen,et al. PBMDA: A novel and effective path-based computational model for miRNA-disease association prediction , 2017, PLoS Comput. Biol..
[30] Lars Juhl Jensen,et al. Identification of Novel Type 1 Diabetes Candidate Genes by Integrating Genome-Wide Association Data, Protein-Protein Interactions, and Human Pancreatic Islet Gene Expression , 2012, Diabetes.
[31] Simo V. Zhang,et al. A map of human cancer signaling , 2007, Molecular systems biology.
[32] Edwin Wang,et al. Signaling network analysis of ubiquitin-mediated proteins suggests correlations between the 26S proteasome and tumor progression. , 2009, Molecular bioSystems.
[33] David Warde-Farley,et al. Dynamic modularity in protein interaction networks predicts breast cancer outcome , 2009, Nature Biotechnology.
[34] I. Jurisica,et al. Network-based characterization of drug-regulated genes, drug targets, and toxicity. , 2012, Methods.
[35] Siqi Liu,et al. Disease Biomarkers for Precision Medicine: Challenges and Future Opportunities , 2017, Genom. Proteom. Bioinform..
[36] H. Lehrach,et al. A Human Protein-Protein Interaction Network: A Resource for Annotating the Proteome , 2005, Cell.
[37] Jinhui Tang,et al. Multi-Grained Random Fields for Mitosis Identification in Time-Lapse Phase Contrast Microscopy Image Sequences , 2017, IEEE Transactions on Medical Imaging.
[38] N. Katsanis,et al. Functional modules, mutational load and human genetic disease. , 2010, Trends in genetics : TIG.
[39] Ting Chen,et al. Further understanding human disease genes by comparing with housekeeping genes and other genes , 2006, BMC Genomics.
[40] Edward R. Dougherty,et al. Identification of diagnostic subnetwork markers for cancer in human protein-protein interaction network , 2010, BMC Bioinformatics.
[41] Péter Csermely,et al. The efficiency of multi-target drugs: the network approach might help drug design. , 2004, Trends in pharmacological sciences.
[42] Lina Chen,et al. Predicting Candidate Genes Based on Combined Network Topological Features: A Case Study in Coronary Artery Disease , 2012, PloS one.
[43] A. Barabasi,et al. Interactome Networks and Human Disease , 2011, Cell.
[44] H. Kitano. A robustness-based approach to systems-oriented drug design , 2007, Nature Reviews Drug Discovery.
[45] P. Matthews,et al. Pathway and network-based analysis of genome-wide association studies in multiple sclerosis , 2009, Human molecular genetics.
[46] Edwin Wang,et al. Cancer modeling and network biology: accelerating toward personalized medicine. , 2015, Seminars in cancer biology.
[47] Edward C Stites,et al. Network Analysis of Oncogenic Ras Activation in Cancer , 2007, Science.
[48] A. Fliri,et al. Cause-effect relationships in medicine: a protein network perspective. , 2010, Trends in pharmacological sciences.
[49] Chih-yuan Chiang,et al. A Human MAP Kinase Interactome , 2010, Nature Methods.
[50] Carlos Prieto,et al. Protein interactions: mapping interactome networks to support drug target discovery and selection. , 2012, Methods in molecular biology.
[51] L. Furlong. Human diseases through the lens of network biology. , 2013, Trends in genetics : TIG.
[52] Patrick Aloy,et al. From protein interaction networks to novel therapeutic strategies , 2012, IUBMB life.
[53] M. Moran,et al. The human phosphotyrosine signaling network: Evolution and hotspots of hijacking in cancer , 2012, Genome research.
[54] Jing Yang,et al. The human disease network in terms of dysfunctional regulatory mechanisms , 2015, Biology Direct.
[55] P. Aloy,et al. A network medicine approach to human disease , 2009, FEBS letters.
[56] Xing Chen,et al. EGBMMDA: Extreme Gradient Boosting Machine for MiRNA-Disease Association prediction , 2018, Cell Death & Disease.
[57] Jinan Wang,et al. Systems approaches and polypharmacology for drug discovery from herbal medicines: an example using licorice. , 2013, Journal of ethnopharmacology.
[58] Lei Zhang,et al. Detecting pathway relationship in the context of human protein-protein interaction network and its application to Parkinson's disease. , 2017, Methods.
[59] Edwin Wang,et al. Cancer systems biology in the genome sequencing era: part 1, dissecting and modeling of tumor clones and their networks. , 2013, Seminars in cancer biology.
[60] P. Aloy,et al. Interactome mapping suggests new mechanistic details underlying Alzheimer's disease. , 2011, Genome research.
[61] J. Whisstock,et al. Prediction of protein function from protein sequence and structure , 2003, Quarterly Reviews of Biophysics.
[62] Petter Holme,et al. Network Properties of Complex Human Disease Genes Identified through Genome-Wide Association Studies , 2009, PloS one.
[63] Edwin Wang,et al. Signaling network assessment of mutations and copy number variations predict breast cancer subtype-specific drug targets. , 2013, Cell reports.
[64] Xing Chen,et al. NLLSS: Predicting Synergistic Drug Combinations Based on Semi-supervised Learning , 2016, PLoS Comput. Biol..
[65] E. Wang,et al. Predictive genomics: a cancer hallmark network framework for predicting tumor clinical phenotypes using genome sequencing data. , 2014, Seminars in cancer biology.
[66] P. Aloy,et al. Unveiling the role of network and systems biology in drug discovery. , 2010, Trends in pharmacological sciences.
[67] Qian Wang,et al. Reconstruction and Application of Protein–Protein Interaction Network , 2016, International journal of molecular sciences.
[68] R. Sharan,et al. Protein networks in disease. , 2008, Genome research.
[69] Sandra D'Alfonso,et al. Network-based multiple sclerosis pathway analysis with GWAS data from 15,000 cases and 30,000 controls. , 2013, American journal of human genetics.
[70] A. Hopkins. Network pharmacology: the next paradigm in drug discovery. , 2008, Nature chemical biology.
[71] Paul A. Bates,et al. Global topological features of cancer proteins in the human interactome , 2006, Bioinform..
[72] Shiwen Zhao,et al. Network-Based Relating Pharmacological and Genomic Spaces for Drug Target Identification , 2010, PloS one.
[73] Xing Chen,et al. MicroRNAs and complex diseases: from experimental results to computational models , 2019, Briefings Bioinform..
[74] S. Gabriel,et al. Advances in understanding cancer genomes through second-generation sequencing , 2010, Nature Reviews Genetics.
[75] Roded Sharan,et al. Optimally Orienting Physical Networks , 2011, RECOMB.
[76] Ravi Iyengar,et al. Network analyses in systems pharmacology , 2009, Bioinform..
[77] Mohan S. Kankanhalli,et al. Hierarchical Clustering Multi-Task Learning for Joint Human Action Grouping and Recognition , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[78] Lan V. Zhang,et al. Evidence for dynamically organized modularity in the yeast protein–protein interaction network , 2004, Nature.
[79] André Schrattenholz,et al. Systems biology approaches and tools for analysis of interactomes and multi-target drugs. , 2010, Methods in molecular biology.
[80] Yongdong Zhang,et al. Drug-target interaction prediction: databases, web servers and computational models , 2016, Briefings Bioinform..