Comprehensive review and empirical analysis of hallmarks of DNA-, RNA- and protein-binding residues in protein chains
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[1] B Jayaram,et al. Sequence and structural features of binding site residues in protein-protein complexes: comparison with protein-nucleic acid complexes , 2011, Proteome Science.
[2] Jun Hu,et al. Designing Template-Free Predictor for Targeting Protein-Ligand Binding Sites with Classifier Ensemble and Spatial Clustering , 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[3] Ram Samudrala,et al. A protein sequence meta-functional signature for calcium binding residue prediction , 2010, Pattern Recognit. Lett..
[4] Yang Zhang,et al. BioLiP: a semi-manually curated database for biologically relevant ligand–protein interactions , 2012, Nucleic Acids Res..
[5] Saraswathi Vishveshwara,et al. Insights into Protein–DNA Interactions through Structure Network Analysis , 2008, PLoS Comput. Biol..
[6] M. Natália D. S. Cordeiro,et al. Solvent Accessible Surface Area-Based Hot-Spot Detection Methods for Protein-Protein and Protein-Nucleic Acid Interfaces , 2015, J. Chem. Inf. Model..
[7] Anne-Claude Camproux,et al. Deciphering the shape and deformation of secondary structures through local conformation analysis , 2011, BMC Structural Biology.
[8] Jun Hu,et al. Enhancing protein-vitamin binding residues prediction by multiple heterogeneous subspace SVMs ensemble , 2014, BMC Bioinformatics.
[9] Ke Chen,et al. Investigation of Atomic Level Patterns in Protein—Small Ligand Interactions , 2009, PloS one.
[10] W. Kabsch,et al. Dictionary of protein secondary structure: Pattern recognition of hydrogen‐bonded and geometrical features , 1983, Biopolymers.
[11] Lukasz Kurgan,et al. Covering complete proteomes with X-ray structures: a current snapshot , 2014, Acta crystallographica. Section D, Biological crystallography.
[12] Ponraj Prabakaran,et al. Classification of protein-DNA complexes based on structural descriptors. , 2006, Structure.
[13] Jing-Yu Yang,et al. A New Supervised Over-Sampling Algorithm with Application to Protein-Nucleotide Binding Residue Prediction , 2014, PloS one.
[14] Meng-long Li,et al. Identification of RNA-binding sites in proteins by integrating various sequence information , 2010, Amino Acids.
[15] Lukasz A. Kurgan,et al. Review and comparative assessment of sequence‐based predictors of protein‐binding residues , 2018, Briefings Bioinform..
[16] Daniel R. Caffrey,et al. Are protein–protein interfaces more conserved in sequence than the rest of the protein surface? , 2004, Protein science : a publication of the Protein Society.
[17] Tuo Zhang,et al. Analysis and prediction of RNA-binding residues using sequence, evolutionary conservation, and predicted secondary structure and solvent accessibility. , 2010, Current protein & peptide science.
[18] Lukasz A. Kurgan,et al. A comprehensive comparative review of sequence-based predictors of DNA- and RNA-binding residues , 2016, Briefings Bioinform..
[19] Wei Wang,et al. Analysis and classification of DNA-binding sites in single-stranded and double-stranded DNA-binding proteins using protein information. , 2014, IET systems biology.
[20] R. Gordân,et al. Protein–DNA binding: complexities and multi-protein codes , 2013, Nucleic acids research.
[21] Jun Hu,et al. TargetATPsite: A template‐free method for ATP‐binding sites prediction with residue evolution image sparse representation and classifier ensemble , 2013, J. Comput. Chem..
[22] Eric A. Ortlund,et al. The structure, function and evolution of proteins that bind DNA and RNA , 2014, Nature Reviews Molecular Cell Biology.
[23] Masakazu Sekijima,et al. Structure based approach for understanding organism specific recognition of protein-RNA complexes , 2015, Biology Direct.
[24] Michal Brylinski,et al. Template-based identification of protein-protein interfaces using eFindSitePPI. , 2016, Methods.
[25] R. Nussinov,et al. Protein–protein interactions: Structurally conserved residues distinguish between binding sites and exposed protein surfaces , 2003, Proceedings of the National Academy of Sciences of the United States of America.
[26] Paolo Frasconi,et al. Predicting Metal-Binding Sites from Protein Sequence , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[27] Kaustubh D. Dhole,et al. SPRINGS: Prediction of Protein- Protein Interaction Sites Using Artificial Neural Networks , 2014 .
[28] Shandar Ahmad,et al. PSSM-based prediction of DNA binding sites in proteins , 2005, BMC Bioinformatics.
[29] Vladimir Vacic,et al. Composition Profiler: a tool for discovery and visualization of amino acid composition differences , 2007, BMC Bioinformatics.
[30] Jun Hu,et al. Constructing Query-Driven Dynamic Machine Learning Model With Application to Protein-Ligand Binding Sites Prediction , 2015, IEEE Transactions on NanoBioscience.
[31] G. Grant,et al. Role of aromatic amino acids in protein-nucleic acid recognition. , 2007, Biopolymers.
[32] J. Janin,et al. Dissecting protein–RNA recognition sites , 2008, Nucleic acids research.
[33] Ruth Nussinov,et al. An overview of recent advances in structural bioinformatics of protein-protein interactions and a guide to their principles. , 2014, Progress in biophysics and molecular biology.
[34] Kenji Mizuguchi,et al. Applying the Naïve Bayes classifier with kernel density estimation to the prediction of protein-protein interaction sites , 2010, Bioinform..
[35] Wen-Lian Hsu,et al. Predicting RNA-binding sites of proteins using support vector machines and evolutionary information , 2008, BMC Bioinformatics.
[36] Lukasz A. Kurgan,et al. DFLpred: High-throughput prediction of disordered flexible linker regions in protein sequences , 2016, Bioinform..
[37] Rasna R. Walia,et al. RNABindRPlus: A Predictor that Combines Machine Learning and Sequence Homology-Based Methods to Improve the Reliability of Predicted RNA-Binding Residues in Proteins , 2014, PloS one.
[38] Daniel B. Roche,et al. Proteins and Their Interacting Partners: An Introduction to Protein–Ligand Binding Site Prediction Methods , 2015, International journal of molecular sciences.
[39] Rui Zhao,et al. An Overview of the Prediction of Protein DNA-Binding Sites , 2015, International journal of molecular sciences.
[40] Junfeng Huang,et al. metaPIS: A Sequence-based Meta-server for Protein Interaction Site Prediction , 2012 .
[41] T. N. Bhat,et al. The Protein Data Bank , 2000, Nucleic Acids Res..
[42] Yuedong Yang,et al. Prediction of RNA binding proteins comes of age from low resolution to high resolution. , 2013, Molecular bioSystems.
[43] Pinak Chakrabarti,et al. Characterization and prediction of the binding site in DNA-binding proteins: improvement of accuracy by combining residue composition, evolutionary conservation and structural parameters , 2012, Nucleic acids research.
[44] Abhishek Mishra,et al. PRince: a web server for structural and physicochemical analysis of Protein-RNA interface , 2012, Nucleic Acids Res..
[45] A. Biegert,et al. HHblits: lightning-fast iterative protein sequence searching by HMM-HMM alignment , 2011, Nature Methods.
[46] Ozlem Keskin,et al. Protein–DNA interactions: structural, thermodynamic and clustering patterns of conserved residues in DNA-binding proteins , 2008, Nucleic acids research.
[47] Andras Fiser,et al. Trends in structural coverage of the protein universe and the impact of the Protein Structure Initiative , 2014, Proceedings of the National Academy of Sciences.
[48] B. Honig,et al. A hybrid method for protein–protein interface prediction , 2016, Protein science : a publication of the Protein Society.
[49] Minoru Kanehisa,et al. AAindex: amino acid index database, progress report 2008 , 2007, Nucleic Acids Res..
[50] M. Gribskov,et al. The role of RNA sequence and structure in RNA--protein interactions. , 2011, Journal of molecular biology.
[51] Xiaoqi Zheng,et al. Prediction of catalytic residues based on an overlapping amino acid classification , 2010, Amino Acids.
[52] Daron M. Standley,et al. Quantifying sequence and structural features of protein–RNA interactions , 2014, Nucleic acids research.
[53] Kyungsook Han,et al. Prediction of RNA-binding amino acids from protein and RNA sequences , 2011, BMC Bioinformatics.
[54] Jae-Hyung Lee,et al. RNABindR: a server for analyzing and predicting RNA-binding sites in proteins , 2007, Nucleic Acids Res..
[55] Hong Yan,et al. Identification of DNA-Binding and Protein-Binding Proteins Using Enhanced Graph Wavelet Features , 2013, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[56] Katie A. Wilson,et al. DNA–protein π-interactions in nature: abundance, structure, composition and strength of contacts between aromatic amino acids and DNA nucleobases or deoxyribose sugar , 2014, Nucleic acids research.
[57] Austin G. Meyer,et al. Maximum Allowed Solvent Accessibilites of Residues in Proteins , 2012, PloS one.
[58] Alessandra Carbone,et al. Local Geometry and Evolutionary Conservation of Protein Surfaces Reveal the Multiple Recognition Patches in Protein-Protein Interactions , 2015, PLoS Comput. Biol..
[59] Johannes Söding,et al. Prediction of protein functional residues from sequence by probability density estimation , 2008, Bioinform..
[60] Lukasz A. Kurgan,et al. Prediction and analysis of nucleotide-binding residues using sequence and sequence-derived structural descriptors , 2012, Bioinform..
[61] Nir London,et al. The structural basis of peptide-protein binding strategies. , 2010, Structure.
[62] Cathy H. Wu,et al. UniProt: the Universal Protein knowledgebase , 2004, Nucleic Acids Res..
[63] R. Nagarajan,et al. Novel approach for selecting the best predictor for identifying the binding sites in DNA binding proteins , 2013, Nucleic acids research.
[64] Haruki Nakamura,et al. The Protein Data Bank at 40: reflecting on the past to prepare for the future. , 2012, Structure.
[65] Peer Bork,et al. Structural analysis of protein‐ligand interactions: the binding of endogenous compounds and of synthetic drugs , 2014, Journal of molecular recognition : JMR.
[66] J. Bujnicki,et al. Computational methods for prediction of protein-RNA interactions. , 2012, Journal of structural biology.
[67] Jonathan J. Ellis,et al. Protein–RNA interactions: Structural analysis and functional classes , 2006, Proteins.
[68] Hong-Bin Shen,et al. Prediction of Protein–Protein Interaction Sites with Machine-Learning-Based Data-Cleaning and Post-Filtering Procedures , 2015, The Journal of Membrane Biology.
[69] Gajendra P. S. Raghava,et al. Prediction of vitamin interacting residues in a vitamin binding protein using evolutionary information , 2013, BMC Bioinformatics.
[70] Michal Brylinski,et al. Prediction of protein–protein interaction sites from weakly homologous template structures using meta‐threading and machine learning , 2015, Journal of molecular recognition : JMR.
[71] Vasant Honavar,et al. Predicting RNA-Protein Interactions Using Only Sequence Information , 2011, BMC Bioinformatics.
[72] Timothy R. Hughes,et al. High-throughput characterization of protein–RNA interactions , 2014, Briefings in functional genomics.
[73] M. Michael Gromiha,et al. Scoring Function Based Approach for Locating Binding Sites and Understanding Recognition Mechanism of Protein-DNA Complexes , 2011, J. Chem. Inf. Model..
[74] Jack Y. Yang,et al. BindN+ for accurate prediction of DNA and RNA-binding residues from protein sequence features , 2010, BMC Systems Biology.
[75] Zhi-Ping Liu,et al. Prediction of protein-RNA binding sites by a random forest method with combined features , 2010, Bioinform..
[76] Xia Wang,et al. Accurate prediction of RNA-binding protein residues with two discriminative structural descriptors , 2016, BMC Bioinformatics.
[77] Stephan Waack,et al. A Novel Sequence-Based Feature for the Identification of DNA-Binding Sites in Proteins Using Jensen-Shannon Divergence , 2016, Entropy.
[78] Michael B Yaffe,et al. Computational prediction of protein-protein interactions. , 2015, Methods in molecular biology.
[79] Ying Shen,et al. RNA-binding residues prediction using structural features , 2015, BMC Bioinformatics.
[80] Jon D. Wright,et al. Identifying RNA-binding residues based on evolutionary conserved structural and energetic features , 2013, Nucleic acids research.
[81] Yu-Yuan Hsiao,et al. Aromatic residues in RNase T stack with nucleobases to guide the sequence‐specific recognition and cleavage of nucleic acids , 2015, Protein science : a publication of the Protein Society.
[82] Lukasz Kurgan,et al. High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder , 2015, Nucleic acids research.
[83] Parviz Abdolmaleki,et al. Predictions of Protein-Protein Interfaces within Membrane Protein Complexes , 2013, Avicenna journal of medical biotechnology.
[84] D. F. Waugh,et al. Protein-protein interactions. , 1954, Advances in protein chemistry.
[85] B. Rost,et al. Analysing six types of protein-protein interfaces. , 2003, Journal of molecular biology.
[86] Xiao Sun,et al. Sequence-Based Prediction of DNA-Binding Residues in Proteins with Conservation and Correlation Information , 2012, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[87] P. Holland,et al. Robust regression using iteratively reweighted least-squares , 1977 .
[88] Janet M Thornton,et al. Protein-DNA interactions: amino acid conservation and the effects of mutations on binding specificity. , 2002, Journal of molecular biology.
[89] Y. Wang,et al. PRINTR: Prediction of RNA binding sites in proteins using SVM and profiles , 2008, Amino Acids.
[90] Shandar Ahmad,et al. Prediction of dinucleotide-specific RNA-binding sites in proteins , 2011, BMC Bioinformatics.
[91] Rong Liu,et al. SNBRFinder: A Sequence-Based Hybrid Algorithm for Enhanced Prediction of Nucleic Acid-Binding Residues , 2015, PloS one.
[92] Yulan He,et al. PDNAsite: Identification of DNA-binding Site from Protein Sequence by Incorporating Spatial and Sequence Context , 2016, Scientific Reports.
[93] Yang Li,et al. Predicting Protein-DNA Binding Residues by Weightedly Combining Sequence-Based Features and Boosting Multiple SVMs , 2017, IEEE/ACM Transactions on Computational Biology and Bioinformatics.
[94] L. S. Swapna,et al. Weak conservation of structural features in the interfaces of homologous transient protein–protein complexes , 2015, Protein science : a publication of the Protein Society.
[95] Lukasz Kurgan,et al. DRNApred, fast sequence-based method that accurately predicts and discriminates DNA- and RNA-binding residues , 2017, Nucleic acids research.
[96] Igor B. Kuznetsov,et al. DP-Bind: a web server for sequence-based prediction of DNA-binding residues in DNA-binding proteins , 2007, Bioinform..
[97] C. Lim,et al. Competition among metal ions for protein binding sites: determinants of metal ion selectivity in proteins. , 2014, Chemical reviews.
[98] N. Kannan,et al. Analysis of homodimeric protein interfaces by graph-spectral methods. , 2002, Protein engineering.
[99] H. Wolfson,et al. Protein-Protein Interactions: Coupling of Structurally Conserved Residues and of Hot Spots across Interfaces. Implications for Docking , 2004 .
[100] R. Nussinov,et al. Conservation of polar residues as hot spots at protein interfaces , 2000, Proteins.
[101] Gajendra P.S. Raghava,et al. Prediction of RNA binding sites in a protein using SVM and PSSM profile , 2008, Proteins.
[102] L. Perez-Cano,et al. Optimal protein‐RNA area, OPRA: A propensity‐based method to identify RNA‐binding sites on proteins , 2010, Proteins.
[103] Yuedong Yang,et al. Predicting DNA-Binding Proteins and Binding Residues by Complex Structure Prediction and Application to Human Proteome , 2014, PloS one.
[104] D. Lejeune,et al. Protein–nucleic acid recognition: Statistical analysis of atomic interactions and influence of DNA structure , 2005, Proteins.
[105] Jing-Yu Yang,et al. Protein-protein interaction sites prediction by ensembling SVM and sample-weighted random forests , 2016, Neurocomputing.
[106] María Martín,et al. UniProt: A hub for protein information , 2015 .
[107] B. Honig,et al. Structure-based prediction of protein-protein interactions on a genome-wide scale , 2012, Nature.
[108] H. Hang,et al. Turning the spotlight on protein-lipid interactions in cells. , 2014, Current opinion in chemical biology.
[109] Yaoqi Zhou,et al. Accurate single‐sequence prediction of solvent accessible surface area using local and global features , 2014, Proteins.
[110] Jianjun Hu,et al. DNABind: A hybrid algorithm for structure‐based prediction of DNA‐binding residues by combining machine learning‐ and template‐based approaches , 2013, Proteins.
[111] Maria Jesus Martin,et al. SIFTS: Structure Integration with Function, Taxonomy and Sequences resource , 2012, Nucleic Acids Res..
[112] Xiaobo Zhou,et al. RPI-Bind: a structure-based method for accurate identification of RNA-protein binding sites , 2017, Scientific Reports.