Protein networks in disease

Network biology: understanding the cell's functional organization

Barabási, A.-L., & Oltvai, Z. N. (2004) · Nature Reviews Genetics · doi:10.1038/nrg1272 · Cited by 7,903

Network motifs: simple building blocks of complex networks.

Milo, R., Shen-Orr, S., Itzkovitz, S., Kashtan, N., Chklovskii, D., & Alon, U. (2002) · Science · doi:10.1126/science.298.5594.824 · Cited by 7,368

Lethality and centrality in protein networks

Jeong, H., Mason, S., Barabási, A., & Oltvai, Z. (2001) · Nature · doi:10.1038/35075138 · Cited by 5,327

A comprehensive analysis of protein–protein interactions in Saccharomyces cerevisiae

Uetz, P., Giot, L., Cagney, G., Mansfield, T. A., Judson, R. S., Knight, J. R., Lockshon, D., Narayan, V., Srinivasan, M., Pochart, P., et al. (2000) · Nature · doi:10.1038/35001009 · Cited by 4,706

The Gene Ontology (GO) database and informatics resource

Gene Ontology Consortium (2003) · Nucleic Acids Research · doi:10.1093/nar/gkh036 · Cited by 4,596

From molecular to modular cell biology.

Hartwell, L. H., Hopfield, J. J., Leibler, S., & Murray, A. W. (1999) · Nature · doi:10.1038/35011540 · Cited by 3,632

A comprehensive two-hybrid analysis to explore the yeast protein interactome

Ito, T., Chiba, T., Ozawa, R., Yoshida, M., Hattori, M., & Sakaki, Y. (2001) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.061034498 · Cited by 3,566

Online Mendelian Inheritance in Man (OMIM), a knowledgebase of human genes and genetic disorders

Hamosh, A. (2004) · Nucleic Acids Research · doi:10.1093/nar/gki033 · Cited by 3,443

The human disease network

Goh, K.-I., Cusick, M. E., Valle, D., Childs, B., Vidal, M., & Barabási, A.-L. (2007) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0701361104 · Cited by 3,242

A census of human cancer genes

Futreal, P. A., Coin, L., Marshall, M., Down, T., Hubbard, T., Wooster, R., Rahman, N., & Stratton, M. R. (2004) · Nature Reviews Cancer · doi:10.1038/nrc1299 · Cited by 3,184

A Network Approach to Wound Healing

Arodz, T., Bonchev, D., & Diegelmann, R. F. (2013) · Advances in Wound Care · doi:10.1089/wound.2012.0386 · Cited by 22

Diabetic Retinopathy and Laser Therapy in Rats: A Protein-Protein Interaction Network Analysis

Safaei, A., Rezaei–Tavirani, M., Azodi, M. Z., Lashay, A., Mohammadi, S.-F., Broumand, M. G., Peyvandi, A. A., Okhovatian, F., Peyvandi, H., & Rostami‐Nejad, M. (2017) · Journal of lasers in medical sciences · doi:10.15171/jlms.2017.s4 · Cited by 21

Intersection of network medicine and machine learning towards investigating the key biomarkers and pathways underlying amyotrophic lateral sclerosis: a systematic review

Das, T., Kaur, H., Gour, P., Prasad, K., Lynn, A. M., Prakash, A., & Kumar, V. (2022) · Briefings in Bioinformatics · doi:10.1093/bib/bbac442 · Cited by 21

Discriminating physiological from non‐physiological interfaces in structures of protein complexes: A community‐wide study

Schweke, H., Xu, Q., Tauriello, G., Pantolini, L., Schwede, T. F., Cazals, F., Lhéritier, A., Fernández‐Recio, J., Rodríguez‐Lumbreras, L. A., Schueler‐Furman, O., et al. (2023) · PROTEOMICS · doi:10.1002/pmic.202200323 · Cited by 23

Improved in situ characterization of protein complex dynamics at scale with thermal proximity co-aggregation

Sun, S., Zheng, Z., Wang, J., Li, F., He, A., Lai, K., Zhang, S., Lu, J., Tian, R., & Tan, C. S. H. (2023) · Nature Communications · doi:10.1038/s41467-023-43526-2 · Cited by 21

Aligning Biomolecular Networks Using Modular Graph Kernels

Towfic, F., Greenlee, M. H. W., & Honavar, V. (2009) · Lecture notes in computer science · doi:10.1007/978-3-642-04241-6_29 · Cited by 22

The role of complementary bipartite visual analytical representations in the analysis of SNPs: a case study in ancestral informative markers

Bhavnani, S. K., Bellala, G., Victor, S., Bassler, K. E., & Visweswaran, S. (2012) · Journal of the American Medical Informatics Association · doi:10.1136/amiajnl-2011-000745 · Cited by 22

Analysis of AML genes in dysregulated molecular networks

Lee, E., Jung, H., Predrag Radivojac, A., Kim, J., & Lee, D. (2009) · BMC Bioinformatics · doi:10.1186/1471-2105-10-s9-s2 · Cited by 22

Network based stratification of major cancers by integrating somatic mutation and gene expression data

He, Z., Zhang, J., Yuan, X., Liu, Z., Liu, B., Tuo, S., & Liu, Y. (2017) · PLoS ONE · doi:10.1371/journal.pone.0177662 · Cited by 23

HDNetDB: A Molecular Interaction Database for Network-Oriented Investigations into Huntington’s Disease

Kalathur, R., Pinto, J. P., Sahoo, B., Chaurasia, G., & Futschik, M. (2017) · Scientific Reports · doi:10.1038/s41598-017-05224-0 · Cited by 24

Role of Centrality in Network-Based Prioritization of Disease Genes

Erten, S., & Koyutürk, M. (2010) · Lecture notes in computer science · doi:10.1007/978-3-642-12211-8_2 · Cited by 22

Gene Set Analysis and Network Analysis for Genome-Wide Association StudiesPreprint

Pedroso, I., & Breen, G. D. (2011) · Cold Spring Harbor Protocols · doi:10.1101/pdb.top065581 · Cited by 22

A survey on computational approaches to identifying disease biomarkers based on molecular networks

Qin, G., & Zhao, X. (2014) · Journal of Theoretical Biology · doi:10.1016/j.jtbi.2014.06.007 · Cited by 22

Bridging topological and functional information in protein interaction networks by short loops profiling

Chung, S. S., Pandini, A., Annibale, A., Coolen, A. C. C., Thomas, N. S. B., & Fraternali, F. (2015) · Scientific Reports · doi:10.1038/srep08540 · Cited by 21

Co-controllability of drug-disease-gene network

Sun, P. G. (2015) · New Journal of Physics · doi:10.1088/1367-2630/17/8/085009 · Cited by 21

Computational modeling of human-nCoV protein-protein interaction network

Saha, S., Halder, A. K., Bandyopadhyay, S. S., Chatterjee, P., Nasipuri, M., & Basu, S. (2021) · Methods · doi:10.1016/j.ymeth.2021.12.003 · Cited by 21

Computational approaches leveraging integrated connections of multi-omic data toward clinical applications

Demirel, H. C., Arici, M. K., & Tunçbağ, N. (2021) · Molecular Omics · doi:10.1039/d1mo00158b · Cited by 29

Targeting disorders in unstructured and structured proteins in various diseases

Choudhary, S., Lopus, M., & Hosur, R. V. (2021) · Biophysical Chemistry · doi:10.1016/j.bpc.2021.106742 · Cited by 21

ResponseNet2.0: revealing signaling and regulatory pathways connecting your proteins and genes—now with human data

Basha, O., Tirman, S., Eluk, A., & Yeger‐Lotem, E. (2013) · Nucleic Acids Research · doi:10.1093/nar/gkt532 · Cited by 21

Cluster-based assessment of protein-protein interaction confidence

Kamburov, A., Großmann, A., Herwig, R., & Stelzl, U. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-262 · Cited by 22

Identifying dense subgraphs in protein–protein interaction network for gene selection from microarray data

Swarnkar, T., Simões, S. N., Anura, A., Brentani, H., Chatterjee, J., Hashimoto, R. F., Martins, D., & Mitra, P. (2015) · Network Modeling Analysis in Health Informatics and Bioinformatics · doi:10.1007/s13721-015-0104-3 · Cited by 21

Syndrome to gene (S2G): in-silico identification of candidate genes for human diseases

Gefen, A., Cohen, R., & Birk, O. S. (2010) · Human Mutation · doi:10.1002/humu.21171 · Cited by 21

Modeling the Dynamics of Protein–Protein Interfaces, How and Why?

Karaca, E., Prévost, C., & Sacquin‐Mora, S. (2022) · Molecules · doi:10.3390/molecules27061841 · Cited by 24

Predicting Disease-Related Proteins Based on Clique Backbone in Protein-Protein Interaction Network

Yang, L., Zhao, X., & Tang, X. (2014) · International Journal of Biological Sciences · doi:10.7150/ijbs.8430 · Cited by 20

Mass Spectrometric Analysis of Post-translational Modifications (PTMs) and Protein–Protein Interactions (PPIs)

Wetie, A. G. N., Woods, A. G., & Darie, C. C. (2014) · Advances in experimental medicine and biology · doi:10.1007/978-3-319-06068-2_9 · Cited by 20

Nanofluidic Fluorescence Microscopy (NFM) for real-time monitoring of protein binding kinetics and affinity studies

Teerapanich, P., Pugnière, M., Henriquet, C., Lin, Y.-L., Chou, C., & Leïchlé, T. (2016) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2016.06.033 · Cited by 20

A disease similarity matrix based on the uniqueness of shared genes

Carson, M. B., Liu, C., Lu, Y., Jia, C., & Lu, H. J. (2017) · BMC Medical Genomics · doi:10.1186/s12920-017-0265-2 · Cited by 22

Functional diversity of topological modules in human protein-protein interaction networks

Liu, G., Wang, H., Chu, H., Yu, J. Q., & Zhou, X. (2017) · Scientific Reports · doi:10.1038/s41598-017-16270-z · Cited by 20

Analyzing of Molecular Networks for Human Diseases and Drug Discovery

Hao, T., Wang, Q., Zhao, L., Wu, D., Wang, E., & Sun, J. (2018) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026618666180813143408 · Cited by 20

Proteostasis Strategies for Restoring α1-Antitrypsin Deficiency

Bouchecareilh, M., Conkright, J. J., & Balch, W. E. (2010) · Proceedings of the American Thoracic Society · doi:10.1513/pats.201001-016aw · Cited by 21

A quantitative approach to study indirect effects among disease proteins in the human protein interaction network

Nguyen, T.-P., & Jordán, F. (2010) · BMC Systems Biology · doi:10.1186/1752-0509-4-103 · Cited by 19

LIRcentral: a manually curated online database of experimentally validated functional LIR motifs

Chatzichristofi, A., Sagris, V., Pallaris, A., Eftychiou, M., Kalvari, I., Price, N., Θεοδοσίου, Θ., Iliopoulos, I., Nezis, I. P., & Promponas, V. J. (2023) · Autophagy · doi:10.1080/15548627.2023.2235851 · Cited by 18

DARC 2.0: Improved Docking and Virtual Screening at Protein Interaction Sites

Gowthaman, R., Lyskov, S., & Karanicolas, J. (2015) · PLoS ONE · doi:10.1371/journal.pone.0131612 · Cited by 20

A Model of Early Human Embryonic Stem Cell Differentiation Reveals Inter- and Intracellular Changes on Transition to Squamous Epithelium

Galat, V., Malchenko, S., Galat, Y., Ishkin, A., Nikolsky, Y., Kosak, S. T., Soares, B. M., Iannaccone, P. M., Crispino, J. D., & Hendrix, M. J. C. (2011) · Stem Cells and Development · doi:10.1089/scd.2010.0578 · Cited by 19

Data mining to understand health status preceding traumatic brain injury

Mollayeva, T., Sutton, M., Chan, V., Colantonio, A., Jana, S., & Escobar, M. D. (2019) · Scientific Reports · doi:10.1038/s41598-019-41916-5 · Cited by 19

NetCAD: a network analysis tool for coronary artery disease-associated PPI network

Ren, G., & Liu, Z. (2012) · Bioinformatics · doi:10.1093/bioinformatics/bts666 · Cited by 19

Network-assisted analysis of primary Sjögren’s syndrome GWAS data in Han Chinese

Fang, K., Zhang, K., & Wang, J. (2015) · Scientific Reports · doi:10.1038/srep18855 · Cited by 19

Strategies for Molecular Classification of Asthma Using Bipartite Network Analysis of Cytokine Expression

Pillai, R. R., Divekar, R. D., Brasier, A. R., Bhavnani, S. K., & Calhoun, W. J. (2012) · Current Allergy and Asthma Reports · doi:10.1007/s11882-012-0279-y · Cited by 18

Protein interaction networks provide insight into fetal origins of chronic obstructive pulmonary disease

Röhl, A., Baek, S. H., Kachroo, P., Morrow, J. D., Tantisira, K. G., Silverman, E. K., Weiss, S. T., Sharma, A., Glass, K., & DeMeo, D. L. (2022) · Respiratory Research · doi:10.1186/s12931-022-01963-5 · Cited by 19

Network Medicine: A Potential Approach for Virtual Drug Screening

Ma, M., Huang, M. J., He, Y., Fang, J., Li, J., Li, X., Liu, M., Zhou, M., Cui, G., & Fan, Q. (2024) · Pharmaceuticals · doi:10.3390/ph17070899 · Cited by 20

Dysregulation of Complement System and CD4+ T Cell Activation Pathways Implicated in Allergic Response

Alves, A. C., Bruhn, S., Ramasamy, A., Wang, H., Holloway, J. W., Hartikainen, A., Järvelin, M., Benson, M., Balding, D. J., & Coin, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0074821 · Cited by 18

Prediction of Cancer Proteins by Integrating Protein Interaction, Domain Frequency, and Domain Interaction Data Using Machine Learning Algorithms

Huang, C., Peng, H.-S., & Ng, K. (2015) · BioMed Research International · doi:10.1155/2015/312047 · Cited by 18

Disentangling function from topology to infer the network properties of disease genes

Ghersi, D., & Singh, M. (2013) · BMC Systems Biology · doi:10.1186/1752-0509-7-5 · Cited by 18

Prioritization of candidate disease genes by combining topological similarity and semantic similarity

Liu, B., Jin, M., & Zeng, P. (2015) · Journal of Biomedical Informatics · doi:10.1016/j.jbi.2015.07.005 · Cited by 18

A System-Level Pathway-Phenotype Association Analysis Using Synthetic Feature Random Forest

Pan, Q., Hu, T., Malley, J. D., Andrew, A. S., Karagas, M. R., & Moore, J. H. (2014) · Genetic Epidemiology · doi:10.1002/gepi.21794 · Cited by 18

Discovery and analysis of consistent active sub-networks in cancers

Gaire, R., Smith, L. K., Humbert, P. O., Bailey, J., Stuckey, P. J., & Haviv, I. (2013) · BMC Bioinformatics · doi:10.1186/1471-2105-14-s2-s7 · Cited by 18

Predicting microRNA-disease associations by integrating multiple biological information

Lan, W., Wang, J., Li, M., Liu, J., & Pan, Y. F. (2015) · IEEE International Conference on Bioinformatics and Biomedicine (BIBM) · doi:10.1109/bibm.2015.7359678 · Cited by 18

Deciphering intrafamilial phenotypic variability by exome sequencing in a Bardet–Biedl family

Pozo, M. G., Méndez‐Vidal, C., Santoyo‐López, J., Vela‐Boza, A., Bravo‐Gil, N., Rueda, A., García‐Alonso, L., Vázquez‐Marouschek, C., Dopazo, J., Borrego, S., et al. (2013) · Molecular Genetics & Genomic Medicine · doi:10.1002/mgg3.50 · Cited by 18

Open Community Challenge Reveals Molecular Network Modules with Key Roles in DiseasesPreprint

Choobdar, S., Ahsen, M. E., Crawford, J., Tomasoni, M., Fang, T., Lamparter, D., Lin, J., Hescott, B., Hu, X., Mercer, J., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/265553 · Cited by 21

HGNNLDA: Predicting lncRNA-Drug Sensitivity Associations via a Dual Channel Hypergraph Neural Network

Liu, D., Li, X., Zhang, L., Hu, X., Zhang, J., Liu, Z., & Deng, L. (2023) · IEEE Transactions on Computational Biology and Bioinformatics · doi:10.1109/tcbb.2023.3302468 · Cited by 18

POINT: Are we prepared for the future doctor visit?

Friend, S. H., & Ideker, T. E. (2011) · Nature Biotechnology · doi:10.1038/nbt.1794 · Cited by 17

Construction of Functional Interaction Networks through Consensus Localization Predictions of the Human Proteome

Park, S., Yang, J., Jang, S. K., & Kim, S. (2009) · Journal of Proteome Research · doi:10.1021/pr900018z · Cited by 17

Global Analysis of the Human Pathophenotypic Similarity Gene Network Merges Disease Module Components

Reyes‐Palomares, A., Rodríguez-López, R., Ranea, J. A. G., Jiménez, F. S., & Medina, M. Á. (2013) · PLoS ONE · doi:10.1371/journal.pone.0056653 · Cited by 17

Pathway-Dependent Effectiveness of Network Algorithms for Gene Prioritization

Shim, J. E., Hwang, S., & Lee, I. (2015) · PLoS ONE · doi:10.1371/journal.pone.0130589 · Cited by 17

Disease Biomarker Query from RNA-Seq Data

Han, H., & Jiang, X. (2014) · Cancer Informatics · doi:10.4137/cin.s13876 · Cited by 17

Discovering hidden relationships between renal diseases and regulated genes through 3D network visualizations

Bhavnani, S. K., Ganesan, A., Hall, T., Maslowski, E., Eichinger, F. H., Martini, S., Saxman, P., Bellala, G., & Kretzler, M. (2010) · BMC Research Notes · doi:10.1186/1756-0500-3-296 · Cited by 17

Measuring the physical cohesiveness of proteins using physical interaction enrichment

Sama, I. E., & Huynen, M. A. (2010) · Bioinformatics · doi:10.1093/bioinformatics/btq474 · Cited by 16

An Outcome-Weighted Network Model for Characterizing Collaboration

Carson, M. B., Scholtens, D. M., Frailey, C. N., Gravenor, S. J., Kricke, G. E., & Soulakis, N. D. (2016) · PLoS ONE · doi:10.1371/journal.pone.0163861 · Cited by 17

Disease association of human tumor suppressor genes

Das, A. B. (2019) · Molecular Genetics and Genomics · doi:10.1007/s00438-019-01557-9 · Cited by 16

FlyNet: a versatile network prioritization server for theDrosophilacommunity

Shin, J., Yang, S., Kim, E., Kim, C. Y., Shim, H., Cho, A., Kim, H., Hwang, S., Shim, J. E., & Lee, I. (2015) · Nucleic Acids Research · doi:10.1093/nar/gkv453 · Cited by 16

Network Clustering Revealed the Systemic Alterations of Mitochondrial Protein Expression

Jeon, J., Jeong, J. H., Baek, J., Koo, H.-J., Park, W., Yang, J., Yu, M., Kim, S., & Pak, Y. K. (2011) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002093 · Cited by 16

Elucidation of epithelial–mesenchymal transition-related pathways in a triple-negative breast cancer cell line model by multi-omics interactome analysis

Pauling, J. K., Christensen, A. G. L., Batra, R., Alcaraz, N., Barbosa, E., Larsen, M. R., Beck, H. C., Leth‐Larsen, R., Azevedo, V., Ditzel, H. J., et al. (2014) · Integrative Biology · doi:10.1039/c4ib00137k · Cited by 16

Progression Rate Associated Peripheral Blood Biomarkers of Parkinson’s Disease

Fan, Y., & Xiao, S. (2018) · Journal of Molecular Neuroscience · doi:10.1007/s12031-018-1102-6 · Cited by 16

Graph cluster approach in identifying novel proteins and significant pathways involved in polycystic ovary syndrome

Afiqah‐Aleng, N., Altaf‐Ul‐Amin, M., Kanaya, S., & Mohamed‐Hussein, Z. (2019) · Reproductive BioMedicine Online · doi:10.1016/j.rbmo.2019.11.012 · Cited by 16

Design of Drug‐Like Protein–Protein Interaction Stabilizers Guided By Chelation‐Controlled Bioactive Conformation Stabilization

Bosica, F., Andrei, S. A., Neves, J. F., Brandt, P., Gunnarsson, A., Landrieu, I., Ottmann, C., & O’Mahony, G. (2020) · Desy Publications Database (Deutsches Elektronen-Synchrotron DESY) · Cited by 16

Predicting disease-related genes by topological similarity in human protein-protein interaction network

Zhang, L., Hu, K., & Tang, Y. P. (2009) · Open Physics · doi:10.2478/s11534-009-0114-9 · Cited by 17

Contributions of Saccharomyces cerevisiae to Understanding Mammalian Gene Function and Therapy

Zhang, N., & Bilsland, E. (2011) · Methods in molecular biology · doi:10.1007/978-1-61779-173-4_28 · Cited by 17

Analysis of the Protein–Protein Interaction Network Identifying c-Met as a Target of Gigantol in the Suppression of Lung Cancer Metastasis

Aksorn, N., LOSUWANNARAK, N., Tungsukruthai, S., Roytrakul, S., & Pithi Chanvorachote, B. (2021) · Cancer Genomics & Proteomics · doi:10.21873/cgp.20257 · Cited by 14

Computational and bioinformatics tools for understanding disease mechanisms

Athar, M., Manhas, A., Rana, N., & Irfan, A. (2024) · Biocell · doi:10.32604/biocell.2024.049891 · Cited by 16

Network-based approaches for anticancer therapy

Seo, H., Kim, W., Lee, J., & Youn, B. (2013) · International Journal of Oncology · doi:10.3892/ijo.2013.2114 · Cited by 17

Time-dependent network analysis reveals molecular targets underlying the development of diet-induced obesity and non-alcoholic steatohepatitis

Oh, H.-Y., Shin, S., Heo, H., Ahn, J.-S., Kwon, E., Park, J. H. Y., Cho, Y., Park, H.-J., Lee, M., Kim, E. J., et al. (2012) · Genes & Nutrition · doi:10.1007/s12263-012-0322-6 · Cited by 15

Bioinformatics Tools for the Functional Interpretation of Quantitative Proteomics Results

de Villavicencio-Díaz, T. N., Rodríguez‐Ulloa, A., Guirola, O., & Pérez‐Riverol, Y. (2014) · Current Topics in Medicinal Chemistry · doi:10.2174/1568026613666131204105110 · Cited by 15

Personalized Medicine and Molecular Interaction Networks in Amyotrophic Lateral Sclerosis (ALS): Current Knowledge

Morgan, S., Duguez, S., & Duddy, W. J. (2018) · Journal of Personalized Medicine · doi:10.3390/jpm8040044 · Cited by 15

Enriching Human Interactome with Functional Mutations to Detect High-Impact Network Modules Underlying Complex Diseases

Cui, H., Srinivasan, S., & Korkin, D. (2019) · Genes · doi:10.3390/genes10110933 · Cited by 15

A network embedding model for pathogenic genes prediction by multi-path random walking on heterogeneous network

Xu, B., Liu, Y., Yu, S., Wang, L., Dong, J., Lin, H., Yang, Z., Wang, J., & Xia, F. (2019) · BMC Medical Genomics · doi:10.1186/s12920-019-0627-z · Cited by 15

Mining breast cancer genes with a network based noise-tolerant approach

Nie, Y., & Yu, J. (2013) · BMC Systems Biology · doi:10.1186/1752-0509-7-49 · Cited by 15

Increasing Alternative Promoter Repertories Is Positively Associated with Differential Expression and Disease Susceptibility

Liu, S. (2010) · PLoS ONE · doi:10.1371/journal.pone.0009482 · Cited by 17

Impaired AMPA receptor trafficking by a double knockout of zebrafish olfactomedin1a/b

Nakaya, N., Sultana, A., & Tomarev, S. I. (2017) · Journal of Neurochemistry · doi:10.1111/jnc.14231 · Cited by 14

Benchmark Study Based on 2P2IDB to Gain Insights into the Discovery of Small-Molecule PPI Inhibitors

Wang, Z., Kang, Y., Li, D., Sun, H., Dong, X., Yao, X., Xu, L., Chang, S., Li, Y., & Hou, T. (2018) · The Journal of Physical Chemistry B · doi:10.1021/acs.jpcb.7b12658 · Cited by 14

Integrative analyses of molecular pathways and key candidate biomarkers associated with colorectal cancer

Pirim, D. (2020) · Cancer Biomarkers · doi:10.3233/cbm-191263 · Cited by 14

Discovery of small molecule inhibitors that effectively disrupt IQGAP1-Cdc42 interaction in breast cancer cells

Sayedyahossein, S., Smith, J. M., Barnaeva, E. S., Li, Z., Choe, J., Ronzetti, M. H., Dextras, C., Hu, X., Marugán, J., Southall, N. T., et al. (2022) · Scientific Reports · doi:10.1038/s41598-022-21342-w · Cited by 14

A Novel Pathway Analysis Approach Based on the Unexplained Disregulation of Genes

Ansari, S., Voichiţa, C., Donato, M., Tagett, R., & Drăghici, S. (2016) · Proceedings of the IEEE · doi:10.1109/jproc.2016.2531000 · Cited by 14

Topology-driven protein-protein interaction network analysis detects genetic sub-networks regulating reproductive capacity

Kumar, T., Blondel, L., & Extavour, C. G. M. (2020) · eLife · doi:10.7554/elife.54082 · Cited by 14

The Role of Visual Analytics in Asthma Phenotyping and Biomarker Discovery

Bhavnani, S. K., Drake, J. A., & Divekar, R. D. (2013) · Advances in experimental medicine and biology · doi:10.1007/978-1-4614-8603-9_18 · Cited by 16

Disease Gene Prioritization Based on Topological Similarity in Protein-Protein Interaction Networks

Erten, S., Bebek, G., & Koyutürk, M. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-20036-6_7 · Cited by 13

Interrogation of genome-wide networks in biology: comparison of knowledge-based and statistical methods

Ravichandran, S., & Chandra, N. R. (2019) · International Journal of Advances in Engineering Sciences and Applied Mathematics · doi:10.1007/s12572-018-0242-9 · Cited by 13

Identification of target genes in cancer diseases using protein–protein interaction networks

Amala, A., & Emerson, I. A. (2019) · Network Modeling Analysis in Health Informatics and Bioinformatics · doi:10.1007/s13721-018-0181-1 · Cited by 14

A Unified and Scalable Algorithm Framework of User-Defined Temporal (k,X)-Core Query

Zhong, M., Yang, J., Zhu, Y., Qian, T., Liu, M., & Yu, J. X. (2024) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2023.3349310 · Cited by 13

MAPK Signal Transduction Pathway Regulation: A Novel Mechanism of Rat HSC-T6 Cell Apoptosis Induced by FUZHENGHUAYU Tablet

Wang, Q., Du, H., Li, M., Li, Y., Liu, S., Gao, P., Zhang, X., & Cheng, J. (2013) · Evidence-based Complementary and Alternative Medicine · doi:10.1155/2013/368103 · Cited by 13

Protein-protein Interfaces Integrated into Interaction Networks: Implications on Drug Design

Kar, G., Kuzu, G., Keskin, Ö., & Gürsoy, A. (2012) · Current Pharmaceutical Design · doi:10.2174/138161212802651643 · Cited by 13

Ripples in the pond – using a systems approach to decipher the cellular functions of membrane microdomains

Inder, K. L., Davis, M. J., & Hill, M. M. C. (2013) · Molecular BioSystems · doi:10.1039/c2mb25300c · Cited by 13

Benchmarking of the 2010 BioCreative Challenge III text-mining competition by the BioGRID and MINT interaction databases

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