Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type
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Title
Comprehensive Survey and Comparative Assessment of RNA-Binding Residue Predictions with Analysis by RNA Type
Authors
Keywords
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Journal
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
Volume 21, Issue 18, Pages 6879
Publisher
MDPI AG
Online
2020-09-19
DOI
10.3390/ijms21186879
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Note: Only part of the references are listed.- Phase Separation and Disorder-to-Order Transition of Human Brain Expressed X–Linked 3 (hBEX3) in the Presence of Small Fragments of tRNA
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- Japanese Encephalitis Virus: Exploring the dark proteome and disorder‐function paradigm
- (2020) Taniya Bhardwaj et al. FEBS Journal
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- (2019) Jian Zhang et al. BIOINFORMATICS
- Interactome of the Autoimmune Risk Protein ANKRD55
- (2019) Nerea Ugidos et al. Frontiers in Immunology
- DISOselect: Disorder predictor selection at the protein level
- (2019) Akila Katuwawala et al. PROTEIN SCIENCE
- DEPICTER: Intrinsic Disorder and Disorder Function Prediction Server
- (2019) Amita Barik et al. JOURNAL OF MOLECULAR BIOLOGY
- Predicting RNA–protein binding sites and motifs through combining local and global deep convolutional neural networks
- (2018) Xiaoyong Pan et al. BIOINFORMATICS
- OUP accepted manuscript
- (2018) BRIEFINGS IN BIOINFORMATICS
- In Silico Prediction and Validation of Novel RNA Binding Proteins and Residues in the Human Proteome
- (2018) Shomeek Chowdhury et al. PROTEOMICS
- Comprehensive Genomic Characterization of RNA-Binding Proteins across Human Cancers
- (2018) Ze-Lin Wang et al. Cell Reports
- 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
- Bioinformatics Tools and Benchmarks for Computational Docking and 3D Structure Prediction of RNA-Protein Complexes
- (2018) Chandran Nithin et al. Genes
- Quality assessment for the putative intrinsic disorder in proteins
- (2018) Gang Hu et al. BIOINFORMATICS
- UniProt: a worldwide hub of protein knowledge
- (2018) NUCLEIC ACIDS RESEARCH
- RNAcentral: a hub of information for non-coding RNA sequences
- (2018) et al. NUCLEIC ACIDS RESEARCH
- The Pfam protein families database in 2019
- (2018) Sara El-Gebali et al. NUCLEIC ACIDS RESEARCH
- Partner‐specific Prediction of RNA‐binding Residues in Proteins: A Critical Assessment
- (2018) Yong Jung et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
- Sequence-based discrimination of protein-RNA interacting residues using a probabilistic approach
- (2017) Priyadarshini P. Pai et al. JOURNAL OF THEORETICAL BIOLOGY
- DRNApred, fast sequence-based method that accurately predicts and discriminates DNA- and RNA-binding residues
- (2017) Jing Yan et al. NUCLEIC ACIDS RESEARCH
- Long Noncoding RNAs and RNA-Binding Proteins in Oxidative Stress, Cellular Senescence, and Age-Related Diseases
- (2017) Chongtae Kim et al. Oxidative Medicine and Cellular Longevity
- DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences
- (2016) Fanchi Meng et al. BIOINFORMATICS
- PRIdictor: Protein–RNA Interaction predictor
- (2016) Narankhuu Tuvshinjargal et al. BIOSYSTEMS
- Accurate prediction of RNA-binding protein residues with two discriminative structural descriptors
- (2016) Meijian Sun et al. BMC BIOINFORMATICS
- A structural perspective of RNA recognition by intrinsically disordered proteins
- (2016) Sushmita Basu et al. CELLULAR AND MOLECULAR LIFE SCIENCES
- conSSert: Consensus SVM Model for Accurate Prediction of Ordered Secondary Structure
- (2016) Chris A. Kieslich et al. Journal of Chemical Information and Modeling
- Disordered nucleiome: Abundance of intrinsic disorder in the DNA- and RNA-binding proteins in 1121 species from Eukaryota, Bacteria and Archaea
- (2016) Chen Wang et al. PROTEOMICS
- RNA-binding proteins implicated in neurodegenerative diseases
- (2016) Mark R Cookson Wiley Interdisciplinary Reviews-RNA
- Advances in the characterization of RNA-binding proteins
- (2016) Domenica Marchese et al. Wiley Interdisciplinary Reviews-RNA
- FastRNABindR: Fast and Accurate Prediction of Protein-RNA Interface Residues
- (2016) Yasser EL-Manzalawy et al. PLoS One
- A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues
- (2015) Jing Yan et al. BRIEFINGS IN BIOINFORMATICS
- In various protein complexes, disordered protomers have large per-residue surface areas and area of protein-, DNA- and RNA-binding interfaces
- (2015) Zhonghua Wu et al. FEBS LETTERS
- Identification of protein-interacting nucleotides in a RNA sequence using composition profile of tri-nucleotides
- (2015) Bharat Panwar et al. GENOMICS
- SNBRFinder: A Sequence-Based Hybrid Algorithm for Enhanced Prediction of Nucleic Acid-Binding Residues
- (2015) Xiaoxia Yang et al. PLoS One
- A Large-Scale Assessment of Nucleic Acids Binding Site Prediction Programs
- (2015) Zhichao Miao et al. PLoS Computational Biology
- Quantifying sequence and structural features of protein–RNA interactions
- (2014) Songling Li et al. NUCLEIC ACIDS RESEARCH
- 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
- Predicting protein-binding RNA nucleotides using the feature-based removal of data redundancy and the interaction propensity of nucleotide triplets
- (2013) Sungwook Choi et al. COMPUTERS IN BIOLOGY AND MEDICINE
- Comprehensively designed consensus of standalone secondary structure predictors improvesQ3by over 3%
- (2013) Jing Yan et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Accurate prediction of disorder in protein chains with a comprehensive and empirically designed consensus
- (2013) Xiao Fan et al. JOURNAL OF BIOMOLECULAR STRUCTURE & DYNAMICS
- Prediction of RNA binding proteins comes of age from low resolution to high resolution
- (2013) Huiying Zhao et al. Molecular BioSystems
- The Nucleic Acid Database: new features and capabilities
- (2013) Buvaneswari Coimbatore Narayanan et al. NUCLEIC ACIDS RESEARCH
- MetaDisorder: a meta-server for the prediction of intrinsic disorder in proteins
- (2012) Lukasz P Kozlowski et al. BMC BIOINFORMATICS
- Protein-RNA interface residue prediction using machine learning: an assessment of the state of the art
- (2012) Rasna R Walia et al. BMC BIOINFORMATICS
- Comprehensive Comparative Assessment of In-Silico Predictors of Disordered Regions
- (2012) Zhen-Ling Peng et al. CURRENT PROTEIN & PEPTIDE SCIENCE
- Structure-based prediction of protein–protein interactions on a genome-wide scale
- (2012) Qiangfeng Cliff Zhang et al. NATURE
- BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions
- (2012) Jianyi Yang et al. NUCLEIC ACIDS RESEARCH
- Prediction of RNA-binding amino acids from protein and RNA sequences
- (2011) Sungwook Choi et al. BMC BIOINFORMATICS
- Prediction of dinucleotide-specific RNA-binding sites in proteins
- (2011) Michael Fernandez et al. BMC BIOINFORMATICS
- Critical assessment of high-throughput standalone methods for secondary structure prediction
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- Computational methods for prediction of protein–RNA interactions
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- Highly accurate and high-resolution function prediction of RNA binding proteins by fold recognition and binding affinity prediction
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- Identification of RNA-binding sites in proteins by integrating various sequence information
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- PONDR-FIT: A meta-predictor of intrinsically disordered amino acids
- (2010) Bin Xue et al. BIOCHIMICA ET BIOPHYSICA ACTA-PROTEINS AND PROTEOMICS
- Prediction of protein–RNA binding sites by a random forest method with combined features
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- Predicting RNA-binding residues from evolutionary information and sequence conservation
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- BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features
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- NAPS: a residue-level nucleic acid-binding prediction server
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- PRINTR: Prediction of RNA binding sites in proteins using SVM and profiles
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- RNA-binding proteins and post-transcriptional gene regulation
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- (2007) Manish Kumar et al. PROTEINS-STRUCTURE FUNCTION AND BIOINFORMATICS
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