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For: Kuzmanov U, Emili A. Protein-protein interaction networks: probing disease mechanisms using model systems. Genome Med 2013;5:37. [PMID: 23635424 DOI: 10.1186/gm441] [Cited by in Crossref: 43] [Cited by in F6Publishing: 35] [Article Influence: 4.8] [Reference Citation Analysis]
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13 Murphy S, Ohlendieck K. The biochemical and mass spectrometric profiling of the dystrophin complexome from skeletal muscle. Comput Struct Biotechnol J 2016;14:20-7. [PMID: 26793286 DOI: 10.1016/j.csbj.2015.11.002] [Cited by in Crossref: 35] [Cited by in F6Publishing: 30] [Article Influence: 5.0] [Reference Citation Analysis]
14 Zhang F, Shi W, Zhang J, Zeng M, Li M, Kurgan L. PROBselect: accurate prediction of protein-binding residues from proteins sequences via dynamic predictor selection. Bioinformatics 2020;36:i735-44. [DOI: 10.1093/bioinformatics/btaa806] [Cited by in Crossref: 2] [Cited by in F6Publishing: 3] [Article Influence: 1.0] [Reference Citation Analysis]
15 Qureshi AP, Stachler MD, Haque O, Odze RD. Biomarkers for Barrett's esophagus - a contemporary review. Expert Rev Mol Diagn. 2018;18:939-946. [PMID: 30345836 DOI: 10.1080/14737159.2018.1538793] [Cited by in Crossref: 7] [Cited by in F6Publishing: 5] [Article Influence: 1.8] [Reference Citation Analysis]
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19 Yuan Q, Chen J, Zhao H, Zhou Y, Yang Y. Structure-aware protein-protein interaction site prediction using deep graph convolutional network. Bioinformatics 2021:btab643. [PMID: 34498061 DOI: 10.1093/bioinformatics/btab643] [Cited by in Crossref: 2] [Article Influence: 2.0] [Reference Citation Analysis]
20 Dzidziguri D, Modebadze I, Bakuradze E, Mosidze G, Berulava M. Determination of The Properties of Rat Brain Thermostable Protein Complex which Inhibit Cell Proliferation. Cell J 2018;19:552-8. [PMID: 29105389 DOI: 10.22074/cellj.2018.4835] [Reference Citation Analysis]
21 Chen L, Mukerjee G, Dorfman R, Moghadas SM. Disease Risk Assessment Using a Voronoi-Based Network Analysis of Genes and Variants Scores. Front Genet 2017;8:29. [PMID: 28326099 DOI: 10.3389/fgene.2017.00029] [Reference Citation Analysis]
22 Zhang J, Kurgan L. SCRIBER: accurate and partner type-specific prediction of protein-binding residues from proteins sequences. Bioinformatics 2019;35:i343-53. [PMID: 31510679 DOI: 10.1093/bioinformatics/btz324] [Cited by in Crossref: 22] [Cited by in F6Publishing: 11] [Article Influence: 11.0] [Reference Citation Analysis]
23 Deineko V, Kumar A, Vlasblom J, Babu M. Quantitative and Systems-Based Approaches for Deciphering Bacterial Membrane Interactome and Gene Function. Adv Exp Med Biol 2015;883:135-54. [PMID: 26621466 DOI: 10.1007/978-3-319-23603-2_8] [Reference Citation Analysis]
24 Srivastava M, Saqib U, Banerjee S, Wary K, Kizil B, Muthu K, Baig MS. Inhibition of the TIRAP-c-Jun interaction as a therapeutic strategy for AP1-mediated inflammatory responses. Int Immunopharmacol 2019;71:188-97. [PMID: 30909134 DOI: 10.1016/j.intimp.2019.03.031] [Cited by in Crossref: 7] [Cited by in F6Publishing: 7] [Article Influence: 2.3] [Reference Citation Analysis]
25 Gangi Setty T, Mowers JC, Hobbs AG, Maiya SP, Syed S, Munson RS Jr, Apicella MA, Subramanian R. Molecular characterization of the interaction of sialic acid with the periplasmic binding protein from Haemophilus ducreyi. J Biol Chem 2018;293:20073-84. [PMID: 30315109 DOI: 10.1074/jbc.RA118.005151] [Cited by in Crossref: 4] [Cited by in F6Publishing: 2] [Article Influence: 1.0] [Reference Citation Analysis]
26 Chakrabarti SS, Sunder VS, Kaur U, Bala S, Sharma P, Kiran M, Rawal RK, Chakrabarti S. Identifying the mechanisms of α-synuclein-mediated cytotoxicity in Parkinson’s disease: new insights from a bioinformatics-based approach. Future Neurology 2020;15:FNL49. [DOI: 10.2217/fnl-2020-0007] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
27 Jiang H, Cole PA. N-Terminal Protein Labeling with N-Hydroxysuccinimide Esters and Microscale Thermophoresis Measurements of Protein-Protein Interactions Using Labeled Protein. Curr Protoc 2021;1:e14. [PMID: 33484499 DOI: 10.1002/cpz1.14] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 2.0] [Reference Citation Analysis]
28 Titeca K, Van Quickelberghe E, Samyn N, De Sutter D, Verhee A, Gevaert K, Tavernier J, Eyckerman S. Analyzing trapped protein complexes by Virotrap and SFINX. Nat Protoc 2017;12:881-98. [PMID: 28358392 DOI: 10.1038/nprot.2017.014] [Cited by in Crossref: 12] [Cited by in F6Publishing: 9] [Article Influence: 2.4] [Reference Citation Analysis]
29 Mahbub S, Bayzid MS. EGRET: edge aggregated graph attention networks and transfer learning improve protein-protein interaction site prediction. Brief Bioinform 2022:bbab578. [PMID: 35106547 DOI: 10.1093/bib/bbab578] [Reference Citation Analysis]
30 Panday SK, Alexov E. Protein-Protein Binding Free Energy Predictions with the MM/PBSA Approach Complemented with the Gaussian-Based Method for Entropy Estimation. ACS Omega 2022;7:11057-67. [PMID: 35415339 DOI: 10.1021/acsomega.1c07037] [Reference Citation Analysis]
31 Koirala M, Alexov E. Ab- initio binding of barnase–barstar with DelPhiForce steered Molecular Dynamics (DFMD) approach. J Theor Comput Chem 2020;19:2050016. [DOI: 10.1142/s0219633620500169] [Cited by in Crossref: 1] [Article Influence: 0.5] [Reference Citation Analysis]
32 Rosario D, Boren J, Uhlen M, Proctor G, Aarsland D, Mardinoglu A, Shoaie S. Systems Biology Approaches to Understand the Host-Microbiome Interactions in Neurodegenerative Diseases. Front Neurosci 2020;14:716. [PMID: 32733199 DOI: 10.3389/fnins.2020.00716] [Cited by in Crossref: 11] [Cited by in F6Publishing: 8] [Article Influence: 5.5] [Reference Citation Analysis]
33 Bello AM, Wei L, Majchrzak-kita B, Salum N, Purohit MK, Fish EN, Kotra LP. Small molecule mimetics of an interferon-α receptor interacting domain. Bioorganic & Medicinal Chemistry 2014;22:978-85. [DOI: 10.1016/j.bmc.2013.12.049] [Cited by in Crossref: 2] [Cited by in F6Publishing: 2] [Article Influence: 0.3] [Reference Citation Analysis]
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35 Wang P, Zhang G, Yu ZG, Huang G. A Deep Learning and XGBoost-Based Method for Predicting Protein-Protein Interaction Sites. Front Genet 2021;12:752732. [PMID: 34764983 DOI: 10.3389/fgene.2021.752732] [Reference Citation Analysis]
36 Rahman MS, Kwon WS, Ryu DY, Khatun A, Karmakar PC, Ryu BY, Pang MG. Functional and Proteomic Alterations of F1 Capacitated Spermatozoa of Adult Mice Following Gestational Exposure to Bisphenol A. J Proteome Res 2018;17:524-35. [PMID: 29198108 DOI: 10.1021/acs.jproteome.7b00668] [Cited by in Crossref: 17] [Cited by in F6Publishing: 16] [Article Influence: 3.4] [Reference Citation Analysis]
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38 Wang B, Su Z, Wu Y. Computational Assessment of Protein-Protein Binding Affinity by Reverse Engineering the Energetics in Protein Complexes. Genomics Proteomics Bioinformatics 2021:S1672-0229(21)00076-0. [PMID: 33838354 DOI: 10.1016/j.gpb.2021.03.004] [Reference Citation Analysis]
39 Singh MK, Lakshman MK. Recent developments in the utility of saturated azaheterocycles in peptidomimetics. Org Biomol Chem 2022;20:963-79. [PMID: 35018952 DOI: 10.1039/d1ob01329g] [Reference Citation Analysis]
40 Zhou P, Wen L, Lin J, Mei L, Liu Q, Shang S, Li J, Shu J. Integrated unsupervised-supervised modeling and prediction of protein-peptide affinities at structural level. Brief Bioinform 2022:bbac097. [PMID: 35352094 DOI: 10.1093/bib/bbac097] [Reference Citation Analysis]
41 Wardah W, Dehzangi A, Taherzadeh G, Rashid MA, Khan M, Tsunoda T, Sharma A. Predicting protein-peptide binding sites with a deep convolutional neural network. Journal of Theoretical Biology 2020;496:110278. [DOI: 10.1016/j.jtbi.2020.110278] [Cited by in Crossref: 6] [Cited by in F6Publishing: 3] [Article Influence: 3.0] [Reference Citation Analysis]
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43 Dhawanjewar AS, Roy AA, Madhusudhan MS. A knowledge-based scoring function to assess quaternary associations of proteins. Bioinformatics 2020;36:3739-48. [PMID: 32246820 DOI: 10.1093/bioinformatics/btaa207] [Cited by in Crossref: 2] [Cited by in F6Publishing: 1] [Article Influence: 1.0] [Reference Citation Analysis]
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