An exhaustive review of computational prediction techniques for PPI sites, protein locations, and protein functions

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[58]  Zengyan Xie,et al.  Prediction of Protein–Protein Interaction Sites Using Convolutional Neural Network and Improved Data Sets , 2020, International journal of molecular sciences.

[59]  Xiao-Nan Fan,et al.  LPI-BLS: Predicting lncRNA-protein interactions with a broad learning system-based stacked ensemble classifier , 2019, Neurocomputing.

[60]  M. Bronstein,et al.  Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning , 2019, Nature Methods.

[61]  Hong-Bin Shen,et al.  ImPLoc: a multi-instance deep learning model for the prediction of protein subcellular localization based on immunohistochemistry images , 2019, Bioinform..

[62]  Bing Wang,et al.  Imbalance Data Processing Strategy for Protein Interaction Sites Prediction , 2019, IEEE/ACM Transactions on Computational Biology and Bioinformatics.

[63]  Mokhtar Nosrati,et al.  Using Chou’s General Pseudo Amino Acid Composition to Classify Laccases from Bacterial and Fungal Sources via Chou’s Five-Step Rule , 2019, Applied Biochemistry and Biotechnology.

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[66]  Jinyan Li,et al.  Sequence-based prediction of protein-protein interaction sites by simplified long short-term memory network , 2019, Neurocomputing.

[67]  Jari Björne,et al.  Neural network and random forest models in protein function prediction , 2019, bioRxiv.

[68]  Lukasz Kurgan,et al.  SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences , 2019, Bioinform..

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[71]  Maxat Kulmanov,et al.  DeepGOPlus: improved protein function prediction from sequence , 2019, bioRxiv.

[72]  Guobo Xie,et al.  LPI-IBNRA: Long Non-coding RNA-Protein Interaction Prediction Based on Improved Bipartite Network Recommender Algorithm , 2019, Front. Genet..

[73]  Ying Li,et al.  Long Noncoding RNA and Protein Interactions: From Experimental Results to Computational Models Based on Network Methods , 2019, International journal of molecular sciences.

[74]  Maxat Kulmanov,et al.  EL Embeddings: Geometric construction of models for the Description Logic EL ++ , 2019, IJCAI.

[75]  Cong Shen,et al.  LPI-KTASLP: Prediction of LncRNA-Protein Interaction by Semi-Supervised Link Learning With Multivariate Information , 2019, IEEE Access.

[76]  Fei Guo,et al.  Multivariate Information Fusion With Fast Kernel Learning to Kernel Ridge Regression in Predicting LncRNA-Protein Interactions , 2019, Front. Genet..

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