iNucRes‐ASSH: Identifying nucleic acid‐binding residues in proteins by using self‐attention‐based structure‐sequence hybrid neural network
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Title
iNucRes‐ASSH: Identifying nucleic acid‐binding residues in proteins by using self‐attention‐based structure‐sequence hybrid neural network
Authors
Keywords
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Journal
PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
Volume -, Issue -, Pages -
Publisher
Wiley
Online
2023-11-02
DOI
10.1002/prot.26626
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Note: Only part of the references are listed.- PDMDA: predicting deep-level miRNA–disease associations with graph neural networks and sequence features
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- GraphBind: protein structural context embedded rules learned by hierarchical graph neural networks for recognizing nucleic-acid-binding residues
- (2021) Ying Xia et al. NUCLEIC ACIDS RESEARCH
- DM3Loc: multi-label mRNA subcellular localization prediction and analysis based on multi-head self-attention mechanism
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- SAResNet: self-attention residual network for predicting DNA-protein binding
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- Highly accurate protein structure prediction with AlphaFold
- (2021) John Jumper et al. NATURE
- Accurate prediction of protein structures and interactions using a three-track neural network
- (2021) Minkyung Baek et al. SCIENCE
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- (2021) Vladimir Gligorijević et al. Nature Communications
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- (2021) Fuhao Zhang et al. BRIEFINGS IN BIOINFORMATICS
- AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models
- (2021) Mihaly Varadi et al. NUCLEIC ACIDS RESEARCH
- Improved protein structure prediction using potentials from deep learning
- (2020) Andrew W. Senior et al. NATURE
- iDRBP_MMC: Identifying DNA-Binding Proteins and RNA-Binding Proteins Based on Multi-Label Learning Model and Motif-Based Convolutional Neural Network
- (2020) Jun Zhang et al. JOURNAL OF MOLECULAR BIOLOGY
- NCBRPred: predicting nucleic acid binding residues in proteins based on multilabel learning
- (2020) Jun Zhang et al. BRIEFINGS IN BIOINFORMATICS
- The role of disorder in RNA binding affinity and specificity
- (2020) Diana S. M. Ottoz et al. Open Biology
- DNAPred: Accurate Identification of DNA-Binding Sites from Protein Sequence by Ensembled Hyperplane-Distance-Based Support Vector Machines
- (2019) Yi-Heng Zhu et al. Journal of Chemical Information and Modeling
- A deep learning framework to predict binding preference of RNA constituents on protein surface
- (2019) Jordy Homing Lam et al. Nature Communications
- COACH-D: improved protein–ligand binding sites prediction with refined ligand-binding poses through molecular docking
- (2018) Qi Wu et al. NUCLEIC ACIDS RESEARCH
- Improving the prediction of protein–nucleic acids binding residues via multiple sequence profiles and the consensus of complementary methods
- (2018) Hong Su et al. BIOINFORMATICS
- A Review of DNA-binding Protein Prediction Methods
- (2018) Kaiyang Qu et al. Current Bioinformatics
- Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs
- (2017) Jun Hu et al. IEEE-ACM Transactions on Computational Biology and Bioinformatics
- ECOD: new developments in the evolutionary classification of domains
- (2016) R. Dustin Schaeffer et al. NUCLEIC ACIDS RESEARCH
- A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues
- (2015) Jing Yan et al. BRIEFINGS IN BIOINFORMATICS
- Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning
- (2015) Babak Alipanahi et al. NATURE BIOTECHNOLOGY
- High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder
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- A Large-Scale Assessment of Nucleic Acids Binding Site Prediction Programs
- (2015) Zhichao Miao et al. PLoS Computational Biology
- Functional Advantages of Conserved Intrinsic Disorder in RNA-Binding Proteins
- (2015) Mihaly Varadi et al. PLoS One
- A census of human RNA-binding proteins
- (2014) Stefanie Gerstberger et al. NATURE REVIEWS GENETICS
- Quantifying sequence and structural features of protein–RNA interactions
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- RNABindRPlus: A Predictor that Combines Machine Learning and Sequence Homology-Based Methods to Improve the Reliability of Predicted RNA-Binding Residues in Proteins
- (2014) Rasna R. Walia et al. PLoS One
- DNA-Binding Specificities of Human Transcription Factors
- (2013) Arttu Jolma et al. CELL
- Identifying RNA-binding residues based on evolutionary conserved structural and energetic features
- (2013) Yao Chi Chen et al. NUCLEIC ACIDS RESEARCH
- DNABind: A hybrid algorithm for structure-based prediction of DNA-binding residues by combining machine learning- and template-based approaches
- (2013) Rong Liu et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment
- (2011) Michael Remmert et al. NATURE METHODS
- Optimization meets systems biology
- (2010) Yong Wang et al. BMC Systems Biology
- NAPS: a residue-level nucleic acid-binding prediction server
- (2010) Matthew B. Carson et al. NUCLEIC ACIDS RESEARCH
- A census of human transcription factors: function, expression and evolution
- (2009) Juan M. Vaquerizas et al. NATURE REVIEWS GENETICS
- DBD-Hunter: a knowledge-based method for the prediction of DNA–protein interactions
- (2008) Mu Gao et al. NUCLEIC ACIDS RESEARCH
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