Year |
Citation |
Score |
2015 |
Qiu B, Shi X, Zhou Q, Chen HS, Lim J, Han W, Tergaonkar V. Hypothalamic NUCKS regulates peripheral glucose homoeostasis. The Biochemical Journal. 469: 391-8. PMID 26205492 DOI: 10.1042/Bj20150450 |
0.465 |
|
2015 |
Ma W, Fuentes G, Shi X, Verma C, Radda GK, Han W. FoxO1 negatively regulates leptin-induced POMC transcription through its direct interaction with STAT3. The Biochemical Journal. 466: 291-8. PMID 25510553 DOI: 10.1042/Bj20141109 |
0.48 |
|
2014 |
Qiu B, Shi X, Wong ET, Lim J, Bezzi M, Low D, Zhou Q, Akıncılar SC, Lakshmanan M, Swa HL, Tham JM, Gunaratne J, Cheng KK, Hong W, Lam KS, et al. NUCKS is a positive transcriptional regulator of insulin signaling. Cell Reports. 7: 1876-86. PMID 24931609 DOI: 10.1016/J.Celrep.2014.05.030 |
0.478 |
|
2013 |
Shi X, Wang X, Li Q, Su M, Chew E, Wong ET, Lacza Z, Radda GK, Tergaonkar V, Han W. Nuclear factor κB (NF-κB) suppresses food intake and energy expenditure in mice by directly activating the Pomc promoter. Diabetologia. 56: 925-36. PMID 23370526 DOI: 10.1007/S00125-013-2831-2 |
0.435 |
|
2013 |
Huang T, He ZS, Cui WR, Cai YD, Shi XH, Hu LL, Chou KC. A sequence-based approach for predicting protein disordered regions. Protein and Peptide Letters. 20: 243-8. PMID 22591473 DOI: 10.2174/0929866511320030002 |
0.422 |
|
2012 |
Hu L, Cui W, He Z, Shi X, Feng K, Ma B, Cai YD. Cooperativity among short amyloid stretches in long amyloidogenic sequences. Plos One. 7: e39369. PMID 22761773 DOI: 10.1371/Journal.Pone.0039369 |
0.315 |
|
2012 |
Wang K, Hu L, Shi X, Dong Y, Li H, Wen T. PSCL: predicting protein subcellular localization based on optimal functional domains. Protein and Peptide Letters. 19: 15-22. PMID 21919864 DOI: 10.2174/092986612798472820 |
0.345 |
|
2012 |
He ZS, Shi XH, Kong XY, Zhu YB, Chou KC. A novel sequence-based method for phosphorylation site prediction with feature selection and analysis. Protein and Peptide Letters. 19: 70-8. PMID 21919857 DOI: 10.2174/092986612798472893 |
0.367 |
|
2012 |
Hu LL, He ZS, Shi XH, Kong XY, Li HP, Lu WC. A nearest neighbor algorithm based predictor for the prediction of enzyme-small molecule interaction. Protein and Peptide Letters. 19: 91-8. PMID 21919855 DOI: 10.2174/092986612798472938 |
0.306 |
|
2012 |
Chen L, Cai YD, Shi XH, Huang T. Analysis of metabolic pathway using hybrid properties Protein and Peptide Letters. 19: 99-107. PMID 21919854 DOI: 10.2174/092986612798472857 |
0.316 |
|
2012 |
Cai Y, Huang T, Hu L, Shi X, Xie L, Li Y. Prediction of lysine ubiquitination with mRMR feature selection and analysis. Amino Acids. 42: 1387-95. PMID 21267749 DOI: 10.1007/S00726-011-0835-0 |
0.428 |
|
2011 |
Hu LL, Li Z, Wang K, Niu S, Shi XH, Cai YD, Li HP. Prediction and analysis of protein methylarginine and methyllysine based on Multisequence features. Biopolymers. 95: 763-71. PMID 21544797 DOI: 10.1002/Bip.21645 |
0.373 |
|
2011 |
Hu L, Huang T, Shi X, Lu WC, Cai YD, Chou KC. Predicting functions of proteins in mouse based on weighted protein-protein interaction network and protein hybrid properties. Plos One. 6: e14556. PMID 21283518 DOI: 10.1371/Journal.Pone.0014556 |
0.378 |
|
2011 |
Hu LL, Wan SB, Niu S, Shi XH, Li HP, Cai YD, Chou KC. Prediction and analysis of protein palmitoylation sites. Biochimie. 93: 489-96. PMID 21075167 DOI: 10.1016/J.Biochi.2010.10.022 |
0.426 |
|
2010 |
Hu LL, Niu S, Huang T, Wang K, Shi XH, Cai YD. Prediction and analysis of protein hydroxyproline and hydroxylysine. Plos One. 5: e15917. PMID 21209839 DOI: 10.1371/Journal.Pone.0015917 |
0.35 |
|
2010 |
Chen L, Huang T, Shi XH, Cai YD, Chou KC. Analysis of protein pathway networks using hybrid properties Molecules. 15: 8177-8192. PMID 21076385 DOI: 10.3390/Molecules15118177 |
0.383 |
|
2010 |
Cai Y, He Z, Shi X, Kong X, Gu L, Xie L. A novel sequence-based method of predicting protein DNA-binding residues, using a machine learning approach. Molecules and Cells. 30: 99-105. PMID 20706794 DOI: 10.1007/S10059-010-0093-0 |
0.359 |
|
2010 |
Huang T, Shi XH, Wang P, He Z, Feng KY, Hu L, Kong X, Li YX, Cai YD, Chou KC. Analysis and prediction of the metabolic stability of proteins based on their sequential features, subcellular locations and interaction networks Plos One. 5. PMID 20532046 DOI: 10.1371/Journal.Pone.0010972 |
0.385 |
|
2010 |
Yang XY, Shi XH, Meng X, Li XL, Lin K, Qian ZL, Feng KY, Kong XY, Cai YD. Classification of transcription factors using protein primary structure. Protein and Peptide Letters. 17: 899-908. PMID 20394581 DOI: 10.2174/092986610791306670 |
0.398 |
|
2010 |
Yuan Y, Shi X, Li X, Lu W, Cai Y, Gu L, Liu L, Li M, Kong X, Xing M. Prediction of interactiveness of proteins and nucleic acids based on feature selections. Molecular Diversity. 14: 627-33. PMID 19816781 DOI: 10.1007/S11030-009-9198-9 |
0.413 |
|
2010 |
Lu L, Qian Z, Shi X, Li H, Cai YD, Li Y. A knowledge-based method to predict the cooperative relationship between transcription factors. Molecular Diversity. 14: 815-9. PMID 19590970 DOI: 10.1007/S11030-009-9177-1 |
0.375 |
|
2010 |
Lu L, Shi XH, Li SJ, Xie ZQ, Feng YL, Lu WC, Li YX, Li H, Cai YD. Protein sumoylation sites prediction based on two-stage feature selection. Molecular Diversity. 14: 81-6. PMID 19472067 DOI: 10.1007/S11030-009-9149-5 |
0.387 |
|
2009 |
Chen L, Shi X, Kong X, Zeng Z, Cai YD. Identifying protein complexes using hybrid properties. Journal of Proteome Research. 8: 5212-8. PMID 19764809 DOI: 10.1021/Pr900554A |
0.378 |
|
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