• 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 962 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)
• 
  Yuvaraj Natarajan, Kannan Srihari, Selvaraj Chandragandhi, Rajan Arshath Raja, Gaurav Dhiman, Amandeep Kaur:
  Analysis of protein-ligand interactions of SARS-CoV-2 against selective drug using deep neural networks. Big Data Min. Anal. 4(2): 76-83 (2021)
• 
  Michael A. Skinnider, Charley Cai, R. Greg Stacey, Leonard J. Foster:
  PrInCE: an R/Bioconductor package for protein-protein interaction network inference from co-fractionation mass spectrometry data. Bioinform. 37(17): 2775-2777 (2021)
• 
  Xinnan Dai, Fan Xu, Shike Wang, Piyushkumar A. Mundra, Jie Zheng:
  PIKE-R2P: Protein-protein interaction network-based knowledge embedding with graph neural network for single-cell RNA to protein prediction. BMC Bioinform. 22-S(6): 139 (2021)
• 
  Ying Li, Hang Sun, Shiyao Feng, Qi Zhang, Siyu Han, Wei Du:
  Capsule-LPI: a LncRNA-protein interaction predicting tool based on a capsule network. BMC Bioinform. 22(1): 246 (2021)
• 
  Yang Wang, Zhanchao Li, Yanfei Zhang, Yingjun Ma, Qixing Huang, Xingyu Chen, Zong Dai, Xiaoyong Zou:
  Performance improvement for a 2D convolutional neural network by using SSC encoding on protein-protein interaction tasks. BMC Bioinform. 22(1): 184 (2021)
• 
  Athina I. Amanatidou, George V. Dedoussis:
  Construction and analysis of protein-protein interaction network of non-alcoholic fatty liver disease. Comput. Biol. Medicine 131: 104243 (2021)
• 
  Xiujuan Lei, Wenxiang Zhang:
  Logistic regression algorithm to identify candidate disease genes based on reliable protein-protein interaction network. Sci. China Inf. Sci. 64(7) (2021)
• 
  Naeem Shirmohammady, Habib Izadkhah, Ayaz Isazadeh:
  PPI-GA: A Novel Clustering Algorithm to Identify Protein Complexes within Protein-Protein Interaction Networks Using Genetic Algorithm. Complex. 2021: 2132516:1-2132516:14 (2021)
• 
  Blaz Skrlj, Enja Kokalj, Nada Lavrac:
  PubMed-Scale Chemical Concept Embeddings Reconstruct Physical Protein Interaction Networks. Frontiers Res. Metrics Anal. 6: 644614 (2021)
• 
  Amitha Joy, S. Balaji, Md. Afroz Alam:
  Interaction network of insulin resistance proteins with organophosphorus and chlorine pesticides. Int. J. Comput. Biol. Drug Des. 14(2): 138-157 (2021)
• 
  Soheir Noori, Nabeel Al-A'Araji, Eman Al-Shamery:
  Identifying protein complexes from protein-protein interaction networks based on the gene expression profile and core-attachment approach. J. Bioinform. Comput. Biol. 19(3): 2150009:1-2150009:17 (2021)
• 
  Yan Yan, Feng Jiang, Xinan Zhang, Tianhai Tian:
  Integrated Inference of Asymmetric Protein Interaction Networks Using Dynamic Model and Individual Patient Proteomics Data. Symmetry 13(6): 1097 (2021)
• 
  Wenyan Wang, Yuming Zhou, Mu-Tian Cheng, Yan Wang, Chun-Hou Zheng, Yan Xiong, Peng Chen, Zhiwei Ji, Bing Wang:
  Potential Pathogenic Genes Prioritization Based on Protein Domain Interaction Network Analysis. IEEE ACM Trans. Comput. Biol. Bioinform. 18(3): 1026-1034 (2021)
• 
  Xiaodi Yang, Ziding Zhang, Stefan Wuchty:
  Multi-scale Convolutional Neural Networks for the Prediction of Human-virus Protein Interactions. ICAART (2) 2021: 41-48
• 
  Eslam Farsimadan, Leila Moradi, Dajana Conte, Beatrice Paternoster, Francesco Palmieri:
  Comparison Between Protein-Protein Interaction Networks CD4⁺T and CD8⁺T and a Numerical Approach for Fractional HIV Infection of CD4⁺T Cells. ICCSA (1) 2021: 78-94
• 
  Xiao-Rui Su, Zhu-Hong You, Zhan-Heng Chen, Hai-Cheng Yi, Zhen-Hao Guo:
  Protein-Protein Interaction Prediction by Integrating Sequence Information and Heterogeneous Network Representation. ICIC (3) 2021: 617-626
• 
  Xin Yan, Zhu-Hong You, Lei Wang, Peng-Peng Chen:
  CNNEMS: Using Convolutional Neural Networks to Predict Drug-Target Interactions by Combining Protein Evolution and Molecular Structures Information. ICIC (3) 2021: 570-579
• 
  Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang:
  Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. IJCAI 2021: 3677-3683
• 
  Mehmet Burak Koca, Ilknur Karadeniz, Esmaeil Nourani, Fatih Erdogan Sevilgen:
  Protein Interaction Prediction on PHI Networks Using Graph Convolution Networks. SIU 2021: 1-4
• 
  Yifan Wu, Min Gao, Min Zeng, Feiyang Chen, Min Li, Jie Zhang:
  BridgeDPI: A Novel Graph Neural Network for Predicting Drug-Protein Interactions. CoRR abs/2101.12547 (2021)
• 
  Guofeng Lv, Zhiqiang Hu, Yanguang Bi, Shaoting Zhang:
  Learning Unknown from Correlations: Graph Neural Network for Inter-novel-protein Interaction Prediction. CoRR abs/2105.06709 (2021)
• 
  Dongqi Fu, Jingrui He:
  DPPIN: A Biological Dataset of Dynamic Protein-Protein Interaction Networks. CoRR abs/2107.02168 (2021)
• 
  Luca Becchetti, Adriano Fazzone, Leonardo Martini:
  Network and Sequence-Based Prediction of Protein-Protein Interactions. CoRR abs/2107.03694 (2021)
• 
  Nicola Apollonio, Paolo Giulio Franciosa, Daniele Santoni:
  On function homophily of microbial Protein-Protein Interaction Networks. CoRR abs/2107.10037 (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)

skipping 932 more matches