Recent advances in protein–protein interaction prediction: experimental and computational methods

Bibliography

• Hu L, Huang T, Shi X, Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties. PLoS One 2011;6:e14556
   PubMedGoogle Scholar
• Sprinzak E, Sattah S, Margalit H. How reliable are protein-protein interaction data? J Mol Biol 2003;327:919-23
   PubMed Web of Science ®Google Scholar
• Hazbun TR, Fields S. Networking proteins in yeast. Proc Natl Acad Sci USA 2001;98:4277-8
   PubMed Web of Science ®Google Scholar
• Pitre S, Alamgir M, Green JR, Computational methods for predicting protein-protein interactions. Adv Biochem Eng Biotechnol 2008;110:247-67
   PubMed Web of Science ®Google Scholar
• Fields S, Song O. A novel genetic system to detect protein-protein interactions. Nature 1989;340:245-6
   PubMed Web of Science ®Google Scholar
• Suter B, Kittanakom S, Stagljar I. Two-hybrid technologies in proteomics research. Curr Opin Biotechnol 2008;19:316-23
   PubMed Web of Science ®Google Scholar
• Stephens DJ, Banting G. The use of yeast two-hybrid screens in studies of protein:protein interactions involved in trafficking. Traffic 2000;1:763-8
   PubMed Web of Science ®Google Scholar
• Semple JI, Sanderson CM, Campbell RD. The jury is still out on “guilt by association” trials. Brief Funct Genomic Proteomic 2002;1:40-52
   PubMedGoogle Scholar
• Lievens S, Lemmens I, Tavernier J. Mammalian two-hybrids come of age. Trends Biochem Sci 2009;34:579-88
   PubMed Web of Science ®Google Scholar
• Kittanakom S, Chuk M, Wong V, Analysis of membrane protein complexes using the Split-Ubiquitin membrane yeast two-hybrid (MYTH) system. Methods Mol Biol 2009;48:247-71
   Google Scholar
• Petschnigg J, Snider J, Stagljar I. Interactive proteomics research technologies: recent applications and advances. Curr Opin Biotechnol 2010;22:1-9
   PubMedGoogle Scholar
• Chen J, Zhou J, Bae W, A yEGFP-based reporter system for high-throughput yeast two-hybrid assay by flow cytometry. Cytometry 2008;73:312-20
   PubMedGoogle Scholar
• Cormack RS, Hahlbrock K, Somssich IE. Isolation of putative plant transcriptional coactivators using a modified two-hybrid system incorporating a GFP reporter gene. Plant J 1998;14:685-92
   PubMed Web of Science ®Google Scholar
• Chen J, Zhou J, Sanders CK, A surface display yeast two-hybrid screening system for high-throughput protein interactome mapping. Anal Biochem 2009;390:29-37
   PubMed Web of Science ®Google Scholar
• de Almeida RA, Burgess D, Shema R, Saccharomyces cerevisiae cell-based quantitative beta-galactosidase assay compatible with robotic handling and high-throughput screening. Yeast 2008;25:71-6
   PubMed Web of Science ®Google Scholar
• Hannah R, Stroke I, Betz N. beta-Glo assay system: a luminescent beta-galactosidase assay for multiple cell types and media. Promega Cell Notes 2003;6:16-18
   Google Scholar
• Kamiya T, Ojimab T, Sugimotoa K, Quantitative Y2H screening: Cloning and signal peptide engineering of a fungal secretory LacA gene and its application to yeast two-hybrid system as a quantitative reporter. J Biotechnol 2010;146:151-9
   PubMed Web of Science ®Google Scholar
• Mockli N, Auerbach D. Quantitative beta-galactosidase assay suitable for high-throughput applications in the yeast two-hybrid system. Biotechniques 2004;36:872-6
   PubMed Web of Science ®Google Scholar
• Sekar RB, Periasamy A. Fluorescence resonance energy transfer (FRET) microscopy imaging of live cell protein localizations. J Cell Biol 2003;160:629-33
   PubMed Web of Science ®Google Scholar
• Rigaut G, Shevchenko A, Rutz B, A generic protein purification method for protein complex characterization and proteome exploration. Nat Biotechnol 1999;17:1030-2
   PubMed Web of Science ®Google Scholar
• Puig O, Caspary F, Rigaut G, The tandem affinity purification (TAP) method: a general procedure of protein complex purification. Methods 2001;24:218-29
   PubMed Web of Science ®Google Scholar
• Gully D, Moinier D, Loiseau L, New partners of acyl carrier protein detected in Escherichia coli by tandem affinity purification. FEBS Lett 2003;548:90-6
   PubMed Web of Science ®Google Scholar
• Rohila JS, Chen M, Cerny R, Improved tandem affinity purification tag and methods for isolation of protein heterocomplexes from plants. Plant J 2004;38:172-81
   PubMed Web of Science ®Google Scholar
• Knuesel M, Wan Y, Xiao Z, Identification of novel protein–protein interactions using a versatile mammalian tandem affinity purification expression system. Mol Cell Proteomics 2003;2:1225-33
   PubMed Web of Science ®Google Scholar
• Forler D, Kocher T, Rode M, An efficient protein complex purification method for functional proteomics in higher eukaryotes. Nat Biotechnol 2003;21:89-92
   PubMed Web of Science ®Google Scholar
• Koch KV, Reinders Y, Ho TH, Identification and isolation of Dictyostelium microtubule-associated protein interactors by tandem affinity purification. Eur J Cell Biol 2006;85:1079-90
   PubMed Web of Science ®Google Scholar
• Meima ME, Weening KE, Schaap P. Vectors for expression of proteins with single or combinatorial fluorescent protein and tandem affinity purification tags in Dictyostelium. Protein Expr Purif 2007;53:283-8
   PubMed Web of Science ®Google Scholar
• Butland G, Peregrin-Alvarez J, Li J, Interaction network containing conserved and essential protein complexes in Escherichia coli. Nature 2005;433:531-7
   PubMed Web of Science ®Google Scholar
• Resa-Infante P, Jorba N, Zamarren N, The Host-dependent interaction of a-Importins with influenza PB2 polymerase subunit is required for virus RNA replication. PLoS ONE 2008;3:e3904
   PubMed Web of Science ®Google Scholar
• Nassa G, Tarallo R, Ambrosino C, A large set of estrogen receptor beta-interacting proteins identified by tandem affinity purification in hormone-responsive human breast cancer cell nuclei. Proteomics 2011;11:159-65
   PubMed Web of Science ®Google Scholar
• Rubio V, Shen Y, Saijo Y, An alternative tandem affinity purification strategy applied to Arabidopsis protein complex isolation. Plant J 2005;41:767-78
   PubMed Web of Science ®Google Scholar
• Gloeckner CJ, Boldt K, Schumacher A, Tandem affinity purification of protein complexes from mammalian cells by the strep/FLAG (SF)-TAP tag. Methods Mol Biol 2009;564:359-70
   Google Scholar
• Gloeckner CJ, Boldt K, Schumacher S, A novel tandem affinity purification strategy for the efficient isolation and characterisation of native protein complexes. Proteomics 2007;7:4228-34
   PubMed Web of Science ®Google Scholar
• Lehmann R, Meyer J, Schuemann M, A novel S3S-TAP-tag for the isolation of T-cell interaction partners of adhesion and degranulation promoting adaptor protein. Proteomics 2009;9:5288-95
   PubMed Web of Science ®Google Scholar
• Guerrero C, Tagwerker C, Kaiser P, An integrated mass spectrometry-based proteomic approach: quantitative analysis of tandem affinity-purified in vivo cross-linked protein complexes (QTAX) to decipher the 26 S proteasome-interacting network. Mol Cell Proteomics 2006;5:366-78
   PubMed Web of Science ®Google Scholar
• Burckstummer T, Bennett KL, Preradovic A, An efficient tandem affinity purification procedure for interaction proteomics in mammalian cells. Nat Methods 2006;3:1013-19
   PubMed Web of Science ®Google Scholar
• Honey S, Schneider BL, Schieltz DM, A novel multiple affinity purification tag and its use in identification of proteins associated with a cyclin–CDK complex. Nucleic Acids Res 2001;29:24-32
   PubMed Web of Science ®Google Scholar
• Kobayashi T, Morone N, Kashiyama T, Engineering a novel multifunctional green fluorescent protein tag for a wide variety of protein research. PLoS ONE 2008;3:e3822
   PubMedGoogle Scholar
• Tomizaki KY, Usui K, Mihara H. Protein-detecting microarrays: current accomplishments and requirements. ChemBioChem 2005;6:782-99
   PubMed Web of Science ®Google Scholar
• Wolf-Yadlin A, Sevecka M, MacBeath G. Dissecting protein function and signaling using protein microarrays. Curr Opin Chem Biol 2009;13:398-405
   PubMed Web of Science ®Google Scholar
• Weinrich D, Jonkheijm P, Niemeyer CM, Applications of protein biochips in biomedical and biotechnological research. Angew Chem Int Ed Engl 2009;48:7744-51
   PubMed Web of Science ®Google Scholar
• Berrade L, Garcia AE, Camarer JA. Protein microarrays: novel developments and applications. Pharm Res 2010;28:1480-99
   PubMed Web of Science ®Google Scholar
• Chepelev N, Chepelev L, Alamgir MD, Large-scale protein-protein interaction detection approaches: past, present and future. Biotechnol Biotechnol Eq 2008;22:513-29
   Web of Science ®Google Scholar
• Camarero JA. Recent developments in the site-specific immobilization of proteins onto solid supports. Biopolymers 2008;90:450-8
   PubMed Web of Science ®Google Scholar
• Mueller C, Liotta LA, Espina V. Reverse phase protein microarrays advance to use in clinical trials. Mol Oncol 2010;4:461-81
   PubMed Web of Science ®Google Scholar
• Hu S, Xie Z, Qian J, Functional protein microarray technology. Wiley Interdiscip Rev Syst Biol Med 2010;3:225-68
   Google Scholar
• Zhu H, Bilgin M, Bangham R, Global analysis of protein activities using proteome chips. Science 2001;293:2101-5
   PubMed Web of Science ®Google Scholar
• Popescu SC, Popescu GV, Bachan S, MAPK target networks in Arabidopsis thaliana revealed using functional protein microarrays. Genes Dev 2009;23:80-92
   PubMed Web of Science ®Google Scholar
• Merbl Y, Kirschner MW. Protein microarrays for genome-wide posttranslational modification analysis. Wiley Interdiscip Rev Syst Biol Med 2010;3:347-56
   PubMed Web of Science ®Google Scholar
• Miller JC, Zhou H, Kwekel J, Antibody microarray profiling of human prostate cancer sera: antibody screening and identification of potential biomarkers. Proteomics 2003;3:56-63
   PubMed Web of Science ®Google Scholar
• Kim DH, Bae J, Lee JW, Proteomic analysis of breast cancer tissue reveals upregulation of actin-remodeling proteins and its relevance to cancer invasiveness. Proteomics Clin Appl 2009;3:30-40
   Google Scholar
• Pierotti MA, Negri T, Tamborini E, Targeted therapies: the rare cancer paradigm. Mol Oncol 2010;4:19-37
   PubMed Web of Science ®Google Scholar
• Skrabanek L, Saini HK, Bader GD, Computational prediction of protein-protein interactions. Mol Biotechnol 2008;38:1-17
   PubMed Web of Science ®Google Scholar
• Guarracino MR, Nebbia A, Manna V, Efficient prediction of protein-protein interactions using sequence information. Complex Int Software Intensive Syst 2010;677-82
   Google Scholar
• Szilagyi A, Grimm V, Arakaki AK, Prediction of physical protein-protein interactions. Phys Biol 2005;2:S1-16
   PubMed Web of Science ®Google Scholar
• Gomez SM, Nobel WS, Rzhetsky A. Learning to predict protein-protein interactions from protein sequences. Bioinformatics 2003;19:1875-81
   PubMed Web of Science ®Google Scholar
• Gavin AC, Aloy P, Grandi P, Proteome survey reveals modularity of the yeast cell machinery. Nature 2006;440:631-6
   PubMed Web of Science ®Google Scholar
• Krogan NJ, Cagney G, Yu H, Global landscape of protein complexes in the yeast Saccharomyces cerevisiae. Nature 2006;440:637-43
   PubMed Web of Science ®Google Scholar
• Ito T, Chiba T, Ozawa R, A comprehensive two-hybrid analysis to explore the yeast protein interactome. Proc Natl Acad Sci USA 2001;98:4569-74
   PubMed Web of Science ®Google Scholar
• Uetz P, Giot L, Cagney G, A comprehensive analysis of protein-protein interactions in Saccharomyces cerevisiae. Nature 2000;403:623-7
   PubMed Web of Science ®Google Scholar
• Guo Y, Yu L, Wen Z, Using support vector machine combined with auto covariance to predict protein-protein interactions from protein sequences. Nucleic Acids Res 2008;9:3025-30
   Google Scholar
• Valencia A, Pazos F. Computational methods for the prediction of protein interactions. Curr Opin Struct Biol 2002;12:368-73
   Google Scholar
• Wang G, Dunbrack RL. PISCES: a protein sequence culling server. Bioinformatics 2003;19:1589-91
   PubMed Web of Science ®Google Scholar
• Chou KC, Shen HB. Plant-mPLoc: a top-down strategy to augment the power for predicting plant protein subcellular localization. PLoS One 2010;5:e11335
   PubMed Web of Science ®Google Scholar
• Chou KC, Shen HB. Cell-PLoc: a package of Web servers for predicting subcellular localization of proteins in various organisms. Nat Protocols 2008;3:153-62
   PubMed Web of Science ®Google Scholar
• Fraser HB. Evolutionary rate in the protein. Science 2002;296:750-2
   PubMed Web of Science ®Google Scholar
• Berman HM, Westbrook J, Feng Z, The protein data bank. Nucleic Acids Res 2000;28:235-42
   PubMed Web of Science ®Google Scholar
• Aloy P, Russell RB. Interrogating protein interaction networks through structural biology. Proc Natl Acad Sci USA 2002;99:5896-901
   PubMed Web of Science ®Google Scholar
• Ma B, Elkayam T, Wolfson H, Protein-protein interactions: structurally conserved residues distinguish between binding sites and exposed protein surfaces. Proc Natl Acad Sci USA 2003;100:5772-7
   PubMed Web of Science ®Google Scholar
• Kundrotas PJ, Vakser IA. Accuracy of protein-protein binding sites in high-throughput template-based modeling. PLoS Comput Biol 2010;6:e1000727
   PubMedGoogle Scholar
• Sinha R, Kondrotas PJ, Vakser IA. Docking by structural similarity at protein-protein interfaces. Proteins 2010;78:3235-41
   PubMed Web of Science ®Google Scholar
• Aloy P, Russell RB. InterPreTS: protein interaction prediction through tertiary structure. Bioinformatics 2003;19:161-2
   PubMed Web of Science ®Google Scholar
• Ogmen U, Keskin O, Aytuna AS, PRISM: protein interactions by structural mapping. Nucleic Acids Res 2005;33:W331-6
   PubMed Web of Science ®Google Scholar
• Lu L, Lu H, Skolnick J. MULTIPROSPECTOR: an algorithm for the prediction of protein-protein interactions by multimeric threading. Proteins 2002;49:350-64
   PubMed Web of Science ®Google Scholar
• Moult J, Fidelis K, Kryshtafovych A, Critical assessment of methods of protein structure prediction- round VIII. Proteins 2009;77(S9):1-4
   PubMedGoogle Scholar
• Wodak SJ, Mendez R. Prediction of protein-protein interactions: the CAPRI experiment, its evaluation and implications. Curr Opin Struct Biol 2004;14:242-9
   PubMed Web of Science ®Google Scholar
• Qi Y, Bar-Joseph Z, Klein-Seetharaman J. Evaluation of different biological data and computational classification methods for use in protein interaction prediction. Proteins 2006;63:490-500
   PubMed Web of Science ®Google Scholar
• Licamele K, Getoor L. Predicting protein-protein interactions using relational features. Proc of ICML Workshop on Statistical Network Analysis; 2006. p. 1-7
   Google Scholar
• Paradesi MSR, Caragea D, Hsu WH. Structural Prediction of Protein-Protein Interactions in Saccharomyces cerevisiae. Proc of IEEE 7th International Symposium on BioInformatics and BioEngineering; 2007;2:1270-4
   Google Scholar
• Liu G, Li J, Wong L. Assessing and predicting protein interactions using both local and global network topological metrics. Genome Inform 2008;21:138-49
   PubMedGoogle Scholar
• Mohamed TP, Carbonell JG, Ganapathiraju MK. Active learning for human protein-protein interaction prediction. BMC Bioinformatics 2010;11:S57
   PubMedGoogle Scholar
• Yu CY, Chou LC, Chang DT. Predicting protein-protein interactions in unbalanced data using the primary structure of proteins. BMC Bioinformatics 2010;11:167
   PubMedGoogle Scholar
• Sprinzak E, Margalit H. Correlated sequence-signatures as markers of protein-protein interaction. J Mol Biol 2001;311:681-92
   PubMed Web of Science ®Google Scholar
• Martin S, Roe D, Faulon JL. Predicting protein-protein interactions using signature products. Bioinformatics 2005;21:218-26
   PubMed Web of Science ®Google Scholar
• Zaki N, Lazarova-Molnar S, El-Hajj W, Protein-protein interaction based on pairwise similarity. BMC Bioinformatics 2009;10:150
   PubMedGoogle Scholar
• Shen JW, Zhang J, Luo XM, Predicting protein-protein interactions based only on sequences information. Proc Natl Acad Sci USA 2007;104:4337-41
   PubMed Web of Science ®Google Scholar
• Guo Y, Li M, Pu X, PRED_PPI: a server for predicting protein-protein interactions based on sequence data with probability assignment. BMC Res Notes 2010;3:145
   PubMedGoogle Scholar
• Najafabadi HS, Salavati R. Sequence-based prediction of protein-protein interactions by means of codon usage. Genome Biol 2008;9:R87
   PubMedGoogle Scholar
• Wang Y, Wang J, Yang Z, Sequence-based potein-protein interaction prediction via support vector machine. J Syst Sci Complex 2010;23:1012-23
   Web of Science ®Google Scholar
• Roy S, Martinez D, Platero H, Exploiting amino acid composition for predicting protein-protein interactions. PLoS One 2009;4:e7813
   PubMed Web of Science ®Google Scholar
• Nanni L, Lumini A. An ensemble of K-local hyperplanes for predicting protein-protein interactions. Bioinformatics 2006;22:1207-10
   PubMed Web of Science ®Google Scholar
• Pitre S, Dehne F, Chan A, PIPE: a protein-protein interaction prediction engine based on the re-occurring short polypeptide sequences between known interacting protein pairs. BMC Bioinformatics 2006;7:365
   PubMedGoogle Scholar
• Pitre S, North C, Alamgir M, Global investigation of protein-protein interactions in yeast Saccharomyces cerevisiae using re-occurring short polypeptide sequences. Nucleic Acids Res 2008;36:4286-94
   PubMed Web of Science ®Google Scholar
• Pan XY, Zhang YN, Shen HB. Large-scale prediction of human protein-protein interactions from amino acid sequence based on latent topic features. J Proteome Res 2010;9:4992-5001
   PubMed Web of Science ®Google Scholar
• Xia JF, Zhao XM, Huang DS. Predicting protein-protein interactions from protein sequences using meta predictor. Amino Acids 2010;39:1595-9
   PubMed Web of Science ®Google Scholar
• Park Y. Critical assessment of sequence-based protein-protein interaction prediction methods that do not require homologous protein sequences. BMC Bioinformatics 2009;10:419
   PubMedGoogle Scholar
• Marcotte EM, Pellegrini M, Ng HL, Detecting protein function and protein-protein interactions from genome sequences. Science 1999;285:751-3
   PubMed Web of Science ®Google Scholar
• Bock JR, Gough DA. Predicting protein-protein interactions from primary structure. Bioinformatics 2001;17:455-60
   PubMed Web of Science ®Google Scholar
• Shi MG, Xia JF, Li XL, Predicting protein-protein interactions from sequence using correlation coefficient and high-quality interaction dataset. Amino Acids 2010;38:891-9
   PubMed Web of Science ®Google Scholar
• Chang DT-H, Syu Y-T, Lin P-C. Predicting the protein-protein interactions using primary structures with predicted protein surface. BMC Bioinformatics 2010;11(S1):S3
   PubMedGoogle Scholar
• Chou KC, Cai YD. Predicting protein-protein interactions from sequences in a hybridization space. J Proteome Res 2006;5:316-22
   PubMed Web of Science ®Google Scholar
• Chou KC. Prediction of protein cellular attributes using pseudo amino acid composition. Proteins 2001;43:246-55
   PubMed Web of Science ®Google Scholar
• Browne F, Zheng H, Wang HY, From experimental approaches to computational techniques: a review on the prediction of protein-protein interactions. Adv Artif Int 2010;924529(2010):1-15
   Google Scholar
• Yu J, Guo M, Needham CJ, Simple sequence-based kernels do not predict protein-protein interactions. Bioinformatics 2010;26:2610-14
   PubMed Web of Science ®Google Scholar
• Chou KC, Zhang CT. Review: prediction of protein structural classes. Crit Rev Biochem Mol Biol 1995;30:275-349
   PubMed Web of Science ®Google Scholar
• Chou KC, Shen HB. Cell-PLoc 2.0: An improved package of web-servers for predicting subcellular localization of proteins in various organisms. Nat Sci 2010;2:1090-103
   Google Scholar
• Chou KC. Some remarks on protein attribute prediction and pseudo amino acid composition (50th Anniversary Year Review). J Theor Biol 2011;273:236-47
   PubMed Web of Science ®Google Scholar
• Lin H. The modified Mahalanobis discriminant for predicting outer membrane proteins by using Chou's pseudo amino acid composition. J Theor Biol 2008;252:350-6
   PubMed Web of Science ®Google Scholar
• Zeng YH, Guo YZ, Xiao RQ, Using the augmented Chou's pseudo amino acid composition for predicting protein submitochondria locations based on auto covariance approach. J Theor Biol 2009;259:366-72
   PubMed Web of Science ®Google Scholar
• Zhou XB, Chen C, Li ZC, Using Chou's amphiphilic pseudo-amino acid composition and support vector machine for prediction of enzyme subfamily classes. J Theor Biol 2007;248:546-51
   PubMed Web of Science ®Google Scholar
• Chou KC, Shen HB. Review: recent progresses in protein subcellular location prediction. Anal Biochem 2007;370:1-16
   PubMed Web of Science ®Google Scholar
• Hayat M, Khan A. Predicting membrane protein types by fusing composite protein sequence features into pseudo amino acid composition. J Theor Biol 2011;271:10-17
   PubMed Web of Science ®Google Scholar
• Kandaswamy KK, Chou KC, Martinetz T, AFP-Pred: A random forest approach for predicting antifreeze proteins from sequence-derived properties. J Theor Biol 2011;270:56-62
   PubMed Web of Science ®Google Scholar
• Lin H, Ding H. Predicting ion channels and their types by the dipeptide mode of pseudo amino acid composition. J Theor Biol 2011;269:64-9
   PubMed Web of Science ®Google Scholar
• Chen C, Chen L, Zou X, Prediction of protein secondary structure content by using the concept of Chou's pseudo amino acid composition and support vector machine. Protein Pept Lett 2009;16:27-31
   PubMed Web of Science ®Google Scholar
• Ding H, Luo L, Lin H. Prediction of cell wall lytic enzymes using Chou's amphiphilic pseudo amino acid composition. Protein Pept Lett 2009;16:351-5
   PubMed Web of Science ®Google Scholar
• Jiang X, Wei R, Zhang TL, Using the concept of Chou's pseudo amino acid composition to predict apoptosis proteins subcellular location: an approach by approximate entropy. Protein Pept Lett 2008;15:392-6
   PubMed Web of Science ®Google Scholar
• Li FM, Li QZ. Predicting protein subcellular location using Chou's pseudo amino acid composition and improved hybrid approach. Protein Pept Lett 2008;15:612-16
   PubMed Web of Science ®Google Scholar
• Lin H, Ding H, Guo FB, Predicting subcellular localization of mycobacterial proteins by using Chou's pseudo amino acid composition. Protein Pept Lett 2008;15:739-44
   PubMed Web of Science ®Google Scholar
• Mohabatkar H. Prediction of cyclin proteins using Chou's pseudo amino acid composition. Protein Pept Lett 2010;17:1207-14
   PubMed Web of Science ®Google Scholar
• Xiao X, Wang P, Chou KC. GPCR-2L: Predicting G protein-coupled receptors and their types by hybridizing two different modes of pseudo amino acid compositions. Mol Biosyst 2011;7:911-19
   PubMed Web of Science ®Google Scholar
• Neduva V, Linding R, Su-Angrand I, Systematic discovery of new recognition peptides mediating protein interaction networks. PLoS Biol 2005;3:e405
   PubMedGoogle Scholar
• Chou KC, Shen HB. Review: recent advances in developing web-servers for predicting protein attributes. Nat Sci 2009;2:63-92
   Google Scholar