• 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 2,647 matches

• 2021
• 
  Andrey Karshikoff:
  Non-Covalent Interactions in Proteins, Second Edition. WorldScientific 2021, ISBN 9789811228087, pp. 1-400
• 
  Arijit Chakraborty, Sajal Mitra, Debashis De, Anindya Jyoti Pal, Ferial Ghaemi, Ali Ahmadian, Massimiliano Ferrara:
  Determining Protein-Protein Interaction Using Support Vector Machine: A Review. IEEE Access 9: 12473-12490 (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)
• 
  Joaquim Aguirre-Plans, Alberto Meseguer, Ruben Molina-Fernandez, Manuel Alejandro Marín-López, Gaurav Jumde, Kevin Casanova, Jaume Bonet, Oriol Fornes, Narcis Fernandez-Fuentes, Baldo Oliva:
  SPServer: split-statistical potentials for the analysis of protein structures and protein-protein interactions. BMC Bioinform. 22(1): 4 (2021)
• 
  Dipan Shaw, Hao Chen, Minzhu Xie, Tao Jiang:
  DeepLPI: a multimodal deep learning method for predicting the interactions between lncRNAs and protein isoforms. BMC Bioinform. 22(1): 24 (2021)
• 
  Jingjing Wang, Yanpeng Zhao, Weikang Gong, Yang Liu, Mei Wang, Xiaoqian Huang, Jianjun Tan:
  EDLMFC: an ensemble deep learning framework with multi-scale features combination for ncRNA-protein interaction prediction. BMC Bioinform. 22(1): 133 (2021)
• 
  Talha Burak Alakus, Ibrahim Türkoglu:
  A novel entropy-based mapping method for determining the protein-protein interactions in viral genomes by using coevolution analysis. Biomed. Signal Process. Control. 65: 102359 (2021)
• 
  Shuang Zhang, Kyle Yu Chen, Xiaoqin Zou:
  Carbohydrate-protein interactions: advances and challenges. Commun. Inf. Syst. 21(1): 147-163 (2021)
• 
  Yang Li, Xiaozhang Liu, Zhu-Hong You, Li-Ping Li, Jian-Xin Guo, Zheng Wang:
  A computational approach for predicting drug-target interactions from protein sequence and drug substructure fingerprint information. Int. J. Intell. Syst. 36(1): 593-609 (2021)
• 
  Zhijun Qiu, Qingjie Liu:
  Protein-protein interaction site prediction using random forest proximity distance. J. Bioinform. Comput. Biol. 19(1): 2050042:1-2050042:16 (2021)
• 
  Ki Hwan Kim:
  Outliers in SAR and QSAR: 3. Importance of considering the role of water molecules in protein-ligand interactions and quantitative structure-activity relationship studies. J. Comput. Aided Mol. Des. 35(3): 371-396 (2021)
• 
  John T. Bedford, Jennifer Poutsma, Norou Diawara, Lesley H. Greene:
  The nature of persistent interactions in two model β-grasp proteins reveals the advantage of symmetry in stability. J. Comput. Chem. 42(9): 600-607 (2021)
• 
  Krzysztof K. Bojarski, Sergey A. Samsonov:
  Role of Oligosaccharide Chain Polarity in Protein-Glycosaminoglycan Interactions. J. Chem. Inf. Model. 61(1): 455-466 (2021)
• 
  Zhe Huai, Zhaoxi Shen, Zhaoxi Sun:
  Binding Thermodynamics and Interaction Patterns of Inhibitor-Major Urinary Protein-I Binding from Extensive Free-Energy Calculations: Benchmarking AMBER Force Fields. J. Chem. Inf. Model. 61(1): 284-297 (2021)
• 
  Amal Tlili, Ghada Attia, Sohayb Khaoulani, Zouhour Mazouz, Chouki Zerrouki, Nourdin Yaakoubi, Ali Othmane, Najla Fourati:
  Contribution to the Understanding of the Interaction between a Polydopamine Molecular Imprint and a Protein Model: Ionic Strength and pH Effect Investigation. Sensors 21(2): 619 (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
• 
  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)
• 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)
• 
  Shengyu Lu, Qingqi Hong, Beizhan Wang, Hongji Wang:
  Efficient ResNet Model to Predict Protein-Protein Interactions With GPU Computing. IEEE Access 8: 127834-127844 (2020)
• 
  Xinke Zhan, Zhu-Hong You, Jinfan Cai, Liping Li, Changqing Yu, Jie Pan, Jiangkun Kong:
  Prediction of Drug-Target Interactions by Ensemble Learning Method From Protein Sequence and Drug Fingerprint. IEEE Access 8: 185465-185476 (2020)
• 
  Liucun Zhu, Pengfei Huang, Rui Zhu, Fangxia Guan, Wenna Guo:
  Extracting Explicable Rules for the Identification of Compound-Protein Interactions. IEEE Access 8: 70005-70012 (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)
• 
  Gregorio Alanis-Lobato, Jannik S. Möllmann, Martin H. Schaefer, Miguel A. Andrade-Navarro:
  MIPPIE: the mouse integrated protein-protein interaction reference. Database J. Biol. Databases Curation 2020 (2020)
• 
  Lifan Chen, Xiaoqin Tan, Dingyan Wang, Feisheng Zhong, Xiaohong Liu, Tianbiao Yang, Xiaomin Luo, Kaixian Chen, Hualiang Jiang, Mingyue Zheng, Arne Elofsson:
  TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments. Bioinform. 36(16): 4406-4414 (2020)
• 
  Isak Johansson-Åkhe, Claudio Mirabello, Björn Wallner:
  InterPep2: global peptide-protein docking using interaction surface templates. Bioinform. 36(8): 2458-2465 (2020)
• 
  Abdul Arif Khan, Zakir Khan:
  COVID-2019-associated overexpressed Prevotella proteins mediated host-pathogen interactions and their role in coronavirus outbreak. Bioinform. 36(13): 4065-4069 (2020)
• 
  Cong Sun, Zhihao Yang, Leilei Su, Lei Wang, Yin Zhang, Hongfei Lin, Jian Wang:
  Chemical-protein interaction extraction via Gaussian probability distribution and external biomedical knowledge. Bioinform. 36(15): 4323-4330 (2020)
• 
  Yan Wang, Miguel Correa Marrero, Marnix H. Medema, Aalt D. J. van Dijk:
  Coevolution-based prediction of protein-protein interactions in polyketide biosynthetic assembly lines. Bioinform. 36(19): 4846-4853 (2020)
• 
  Zichao Yan, William L. Hamilton, Mathieu Blanchette:
  Graph neural representational learning of RNA secondary structures for predicting RNA-protein interactions. Bioinform. 36(Supplement-1): i276-i284 (2020)

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