Online Services

●I-TASSER ●I-TASSER-MTD ●C-I-TASSER ●CR-I-TASSER ●QUARK ●C-QUARK ●LOMETS ●MUSTER ●CEthreader ●SEGMER ●DeepFold ●DeepFoldRNA ●FoldDesign ●COFACTOR ●COACH ●MetaGO ●TripletGO ●IonCom ●FG-MD ●ModRefiner ●REMO ●DEMO ●DEMO-EM ●SPRING ●COTH ●Threpp ●PEPPI ●BSpred ●ANGLOR ●EDock ●BSP-SLIM ●SAXSTER ●FUpred ●ThreaDom ●ThreaDomEx ●EvoDesign ●BindProf ●BindProfX ●SSIPe ●GPCR-I-TASSER ●MAGELLAN ●ResQ ●STRUM ●DAMpred

●TM-score ●TM-align ●US-align ●MM-align ●RNA-align ●NW-align ●LS-align ●EDTSurf ●MVP ●MVP-Fit ●SPICKER ●HAAD ●PSSpred ●3DRobot ●MR-REX ●I-TASSER-MR ●SVMSEQ ●NeBcon ●ResPRE ●TripletRes ●DeepPotential ●WDL-RF ●ATPbind ●DockRMSD ●DeepMSA ●FASPR ●EM-Refiner ●GPU-I-TASSER

●BioLiP ●E. coli ●GLASS ●GPCR-HGmod ●GPCR-RD ●GPCR-EXP ●Tara-3D ●TM-fold ●DECOYS ●POTENTIAL ●RW/RWplus ●EvoEF ●HPSF ●THE-DB ●ADDRESS ●Alpaca-Antibody ●CASP7 ●CASP8 ●CASP9 ●CASP10 ●CASP11 ●CASP12 ●CASP13 ●CASP14

Yang Li Department of Computational Medicine and Bioinformatics University of Michigan 100 Washtenaw Ave Ann Arbor, MI 48109 Email: liyangum@umich.edu

About Me

2017-current, visiting student, University of Michigan

2014-2020, Ph.D student, Nanjing University of Science and Technology

Research Interests

Pattern Recognition

Bioinformatics

Machine Learning

Publications

Li, Y., Zhang, C., Bell, E. W., Yu, D. J., & Zhang, Y. (2019). Ensembling multiple raw coevolutionary features with deep residual neural networks for contact‐map prediction in CASP13. Proteins: Structure, Function, and Bioinformatics.

Zheng, W., Li, Y., Zhang, C., Pearce, R., Mortuza, S. M., & Zhang, Y. (2019). Deep‐learning contact‐map guided protein structure prediction in CASP13. Proteins: Structure, Function, and Bioinformatics..

Zheng, W., Zhang, C., Wuyun, Q., Pearce, R., Li, Y., & Zhang, Y. (2019). LOMETS2: improved meta-threading server for fold-recognition and structure-based function annotation for distant-homology proteins. Nucleic acids research..

Li, Y., Hu, J., Zhang, C., Yu, D. J., & Zhang, Y. (2019). ResPRE: high-accuracy protein contact prediction by coupling precision matrix with deep residual neural networks. Bioinformatics (Oxford, England).

Hu, J., Li, Y., Zhang, Y., & Yu, D. J. (2018). ATPbind: accurate protein–ATP binding site prediction by combining sequence-profiling and structure-based comparisons. Journal of chemical information and modeling, 58(2), 501-510.

Hu, J., Li, Y., Zhang, M., Yang, X., Shen, H. B., & Yu, D. J. (2017). Predicting protein-DNA binding residues by weightedly combining sequence-based features and boosting multiple SVMs. IEEE/ACM Transactions on Computational Biology and Bioinformatics (TCBB), 14(6), 1389-1398.

Hu, J., Han, K., Li, Y., Yang, J. Y., Shen, H. B., & Yu, D. J. (2016). TargetCrys: protein crystallization prediction by fusing multi-view features with two-layered SVM. Amino Acids, 48(11), 2533.

Hu, J., Li, Y., Yan, W. X., Yang, J. Y., Shen, H. B., & Yu, D. J. (2016). KNN-based dynamic query-driven sample rescaling strategy for class imbalance learning. Neurocomputing, 191, 363-373.

Hu, J., Li, Y., Yang, J. Y., Shen, H. B., & Yu, D. J. (2016). GPCR–drug interactions prediction using random forest with drug-association-matrix-based post-processing procedure. Computational biology and chemistry, 60, 59-71.

Yu, D. J., Li, Y., Hu, J., Yang, X., Yang, J. Y., & Shen, H. B. (2014). Disulfide connectivity prediction based on modelled protein 3D structural information and random forest regression. IEEE/ACM transactions on computational biology and bioinformatics, 12(3), 611-621.