• case-insensitive prefix search: default
  e.g., sig matches "SIGIR" as well as "signal"
• exact word search: append dollar sign ($) to word
  e.g., graph$ matches "graph", but not "graphics"
• boolean and: separate words by space
  e.g., codd model
• boolean or: connect words by pipe symbol (|)
  e.g., graph|network

Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.

found 926 matches

• 2021
• 
  Junzhong Ji, Hanghang Xiao, Cuicui Yang:
  HFADE-FMD: a hybrid approach of fireworks algorithm and differential evolution strategies for functional module detection in protein-protein interaction networks. Appl. Intell. 51(2): 1118-1132 (2021)
• 2020
• 
  Ruibo Gao, Tianhua Yang, Yaxue Shen, Yifan Rong, Kang Ye, Junlan Nie:
  RPI-MCNNBLSTM: BLSTM Networks Combining With Multiple Convolutional Neural Network Models to Predict RNA-Protein Interactions Using Multiple Biometric Features Codes. IEEE Access 8: 189869-189877 (2020)
• 
  Zhourun Wu, Qing Liao, Bin Liu:
  A comprehensive review and evaluation of computational methods for identifying protein complexes from protein-protein interaction networks. Briefings Bioinform. 21(5): 1531-1548 (2020)
• 
  Min Zeng, Fuhao Zhang, Fang-Xiang Wu, Yaohang Li, Jianxin Wang, Min Li:
  Protein-protein interaction site prediction through combining local and global features with deep neural networks. Bioinform. 36(4): 1114-1120 (2020)
• 
  Adrià Alcalà, Ricardo Alberich, Mercè Llabrés, Francesc Rosselló, Gabriel Valiente:
  AligNet: alignment of protein-protein interaction networks. BMC Bioinform. 21-S(6): 265 (2020)
• 
  Pasan C. Fernando, Paula M. Mabee, Erliang Zeng:
  Integration of anatomy ontology data with protein-protein interaction networks improves the candidate gene prediction accuracy for anatomical entities. BMC Bioinform. 21(1): 442 (2020)
• 
  Babak Khorsand, Abdorreza Savadi, Mahmoud Naghibzadeh:
  Comprehensive host-pathogen protein-protein interaction network analysis. BMC Bioinform. 21(1): 400 (2020)
• 
  Leilei Liu, Xianglei Zhu, Yi Ma, Haiyin Piao, Yaodong Yang, Xiaotian Hao, Yue Fu, Li Wang, Jiajie Peng:
  Combining sequence and network information to enhance protein-protein interaction prediction. BMC Bioinform. 21-S(16): 537 (2020)
• 
  Mercè Llabrés, Gabriel Riera, Francesc Rosselló, Gabriel Valiente:
  Alignment of biological networks by integer linear programming: virus-host protein-protein interaction networks. BMC Bioinform. 21-S(6): 434 (2020)
• 
  Wei Wang, Hehe Lv, Yuan Zhao:
  Predicting DNA binding protein-drug interactions based on network similarity. BMC Bioinform. 21(1): 322 (2020)
• 
  Jarmila Nahálková:
  Linking TPPII to the protein interaction and signalling networks. Comput. Biol. Chem. 87: 107291 (2020)
• 
  Sabyasachi Patra, Anjali Mohapatra:
  Protein complex prediction in interaction network based on network motif. Comput. Biol. Chem. 89: 107399 (2020)
• 
  Nikhila T. Suresh, Vimina E. R., Krishnakumar U.:
  Multi-scale top-down approach for modelling epileptic protein-protein interaction network analysis to identify driver nodes and pathways. Comput. Biol. Chem. 88: 107323 (2020)
• 
  Yuanmiao Gui, Ru Jing Wang, Xue Wang, Yuan Yuan Wei:
  Using Deep Neural Networks to Improve the Performance of Protein-Protein Interactions Prediction. Int. J. Pattern Recognit. Artif. Intell. 34(13): 2052012:1-2052012:20 (2020)
• 
  Cong Sun, Zhihao Yang, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
  Attention guided capsule networks for chemical-protein interaction extraction. J. Biomed. Informatics 103: 103392 (2020)
• 
  Natali Acosta-Tapia, Johan Fabian Galindo, Rosa Baldiris:
  Insights into the Effect of Lowe Syndrome-Causing Mutation p.Asn591Lys of OCRL-1 through Protein-Protein Interaction Networks and Molecular Dynamics Simulations. J. Chem. Inf. Model. 60(2): 1019-1027 (2020)
• 
  Lindy Astl, Gabrielle Stetz, Gennady M. Verkhivker:
  Allosteric Mechanism of the Hsp90 Chaperone Interactions with Cochaperones and Client Proteins by Modulating Communication Spines of Coupled Regulatory Switches: Integrative Atomistic Modeling of Hsp90 Signaling in Dynamic Interaction Networks. J. Chem. Inf. Model. 60(7): 3616-3631 (2020)
• 
  Palak Kaushal, Shailendra Singh:
  Network-based disease gene prioritization based on Protein-Protein Interaction Networks. Netw. Model. Anal. Health Informatics Bioinform. 9(1): 55 (2020)
• 
  Jarmila Nahálková:
  Exploring the Sirtuin Functionality in Ageing Through Human Protein Interaction Networks. SN Comput. Sci. 1(3): 183 (2020)
• 
  Min Li, Xiangmao Meng, Ruiqing Zheng, Fang-Xiang Wu, Yaohang Li, Yi Pan, Jianxin Wang:
  Identification of Protein Complexes by Using a Spatial and Temporal Active Protein Interaction Network. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 817-827 (2020)
• 
  Lei Wang, Zhu-Hong You, De-Shuang Huang, Fengfeng Zhou:
  Combining High Speed ELM Learning with a Deep Convolutional Neural Network Feature Encoding for Predicting Protein-RNA Interactions. IEEE ACM Trans. Comput. Biol. Bioinform. 17(3): 972-980 (2020)
• 
  Peng Gang Sun, Yi-Ning Quan, Qiguang Miao:
  Interdependent Patterns in Protein-Protein Interaction Networks. IEEE Trans. Netw. Sci. Eng. 7(4): 3257-3265 (2020)
• 
  Ho Yin Yuen, Jesper Jansson:
  Better Link Prediction for Protein-Protein Interaction Networks. BIBE 2020: 53-60
• 
  Dongha Choi, Hyunju Lee:
  Extracting Chemical-Protein Interactions via Calibrated Deep Neural Network and Self-training. EMNLP (Findings) 2020: 2086-2095
• 
  Kathryn Cooper, Nathan Cornelius, William Gasper, Sanjukta Bhowmick, Hesham Ali:
  On the Planarity of Validated Complexes of Model Organisms in Protein-Protein Interaction Networks. ICCS (1) 2020: 652-666
• 
  Wei Liu, Liangyu Ma, Yuliang Tang:
  A New Scheme for Essential Proteins Identification in Dynamic Weighted Protein-Protein Interaction Networks. ICAIS (1) 2020: 195-206
• 
  Wenzheng Ma, Wenzheng Bao, Yi Cao, Yuehui Chen:
  RFQ-ANN: Artificial Neural Network Model for Predicting Protein-Protein Interaction Based on Sparse Matrix. ICIC (2) 2020: 446-454
• 
  Xiaojuan Wang, Pengwei Hu, Lun Hu:
  A Novel Stochastic Block Model for Network-Based Prediction of Protein-Protein Interactions. ICIC (2) 2020: 621-632
• 
  Nian Wang, Min Zeng, Jiashuai Zhang, Yiming Li, Min Li:
  Ess-NEXG: Predict Essential Proteins by Constructing a Weighted Protein Interaction Network Based on Node Embedding and XGBoost. ISBRA 2020: 95-104
• 
  Ilinka Ivanoska, E. Petreska, Biljana Risteska Stojkoska, Slobodan Kalajdziski, Kire Trivodaliev:
  Comparative Analysis of Network Embeddings for Functional Annotation in Protein Interaction Networks. MIPRO 2020: 203-208

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