(#Co-first author, *Corresponding author. My research profile in ResearcherID and Google Scholar)
    Peer-reviewed Journal Publications
  1. Dong R., Peng Z., Zhang Y.*, Yang J.*
    mTM-align: an algorithm for fast and accurate multiple protein structure alignment.
    Bioinformatics, doi: 10.1093/bioinformatics/btx828 (2017).
  2. Wuyun Q., Zheng W., Peng Z., Yang J.*
    A large-scale comparative assessment of methods for residue-residue contact prediction.
    Briefings in Bioinformatics, doi: 10.1093/bib/bbw106 (2017).
  3. Xia J., Peng Z., Qi D., Mu H.*, Yang J.*
    An ensemble approach to protein fold classification by integration of template-based assignment and support vector machine classifier.
    Bioinformatics, 33: 863-887 (2017).
  4. Peng Z., Uversky V.N.* and Kurgan L.*
    Genes encoding intrinsic disorder in Eukaryota have high GC content.
    Intrinsically Disordered Proteins, 4(1):e1262225 (2016).
  5. Peng Z. and Kurgan L.*
    High-throughput prediction of RNA, DNA and protein binding regions mediated by intrinsic disorder.
    Nucleic Acids Research, doi: 10.1093/nar/gkv585 (2015).
  6. Wu Z., Hu G., Yang J., Peng Z., Uversky V.N.* and Kurgan L.*
    In various protein complexes, disordered protomers have large per-residue surface areas and area of protein-, DNA- and RNA-binding interfaces.
    FEBS Letters, doi: 10.1016/j.febslet.2015.08.014 (2015).
  7. Peng Z., Yan J., Fan X., Mizianty M.J., Xue B., Uversky V.N.* and Kurgan L.*
    Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life.
    Cellular and Molecular Life Science, 72(1), 137-151 (2015).
  8. Groenendyk J., Peng Z., Dudek E., Fan X., Mizianty M.J., Dufey E., Urra H., Sepulveda D., Rojas-Rivera D., Lim Y., Baretta K., Srikanth S., Gwack Y., Ahnn J., Kaufman R.J., Lee S-K., Hetz C., Kurgan L. and Michalak M.*
    Interplay between PDIA6 and miR-322 controls adaptive response to disrupted endoplasmic reticulum calcium homeostasis.
    Science Signaling, 7(329), ra54 (2014).
  9. Peng Z., Oldfield C.J., Xue B., Mizianty M.J., Dunker A.K., Kurgan L.* and Uversky V.N.*
    A creature with a hundred waggly tails: intrinsically disordered proteins in the ribosome.
    Cellular and Molecular Life Science, 71(8), 1477-504 (2014).
  10. Peng Z., Sakai Y., Kurgan L., Sokolowski B.* and Uversky V.N.
    Intrinsic disorder in the BK channel and its interactome.
    PLoS ONE, 9(4), e94331 (2014).
  11. Peng Z., Mizianty M.J. and Kurgan L.*
    Genome-scale prediction of proteins with long intrinsically disordered regions.
    Proteins:Structure, Function, and Bioinformatics, 82, 145-158 (2014).
  12. Groenendyk J., Fan X., Peng Z., Ilnytskyy Y., Kurgan L. and Michalak M.*
    Genome-wide analysis of thapsigargin-induced microRNAs and their targets in NIH3T3 cells.
    Genomics Data, 2, 325-327 (2014).
  13. Peng Z., Xue B., Kurgan L.* and Uversky V.N.*
    Resilience of death: intrinsic disorder in proteins involved in the programmed cell death.
    Cell Death and Differentiation, 20, 1257-1267 (2013).
  14. Uversky A.V., Xue B., Peng Z., Kurgan L. and Uversky V.N.*
    On the intrinsic disorder status of the major players in programmed cell death pathways.
    F1000 Research, 2, 190 (2013).
  15. Mizianty M.J., Peng Z. and Kurgan L.*
    MFDp2 - Accurate Predictor of Disorder in Proteins by Fusion of Disorder Probabilities, Content and Profiles.
    Intrinsically Disordered Proteins, 1, e24428-1 (2013).
  16. Peng Z., Mizianty M.J., Xue B., Kurgan L. and Uversky V.N.*
    More than just tails: intrinsic disorder in histone proteins.
    Molecular Biosystems, 8, 1886-1901 (2012).
  17. Peng Z. and Kurgan L.*
    Comprehensive comparative assessment of in-silico predictors of disordered regions.
    Current Protein and Peptide Science, 13, 6-18 (2012).
  18. Howell M., Green R., Killeen A., Wedderburn L., Picascio V., Alejandro A., Peng Z., Larina M., Xue B., Kurgan L. and Uversky V.N.
    Not that Rigid Midgets and not so Flexible Giants: On the Abundance and Roles of Intrinsic Disorder in Short and Long Proteins.
    Journal of Biological System, 20, 471-511 (2012).
  19. Peng Z., Yang J.* and Chen X.
    An improved classification of G-protein-coupled receptors using sequence-derived features.
    BMC Bioinformatics, 11, 420 (2010).
  20. Yang J.*, Peng Z. and Chen, X.
    Prediction of protein structural classes for low-homology sequences based on predicted secondary structure.
    BMC Bioinformatics, 11: S9 (2010).
  21. Yang J., Peng Z.#, Yu Z., Zhang R., Anh V. and Wang D.
    Prediction of protein structural classes by recurrence quantification analysis based on chaos game representation.
    Journal of Theoretical Biology, 257: 618-626 (2009).
    Book chapter
  22. Peng Z., Wang C., Uversky V.N.*, Kurgan L.*
    Prediction of Disordered RNA, DNA, and Protein Binding Regions Using DisoRDPbind, Chapter 14:187-203 (2017)
    Methods in Molecular Biology, Edited by Yaoqi Zhou, Andrzej Kloczkowski, Eshel Faraggi, Yuedong Yang, Humana Press.
    Peer-reviewed conference Publications
  23. Peng Z. and Kurgan L.*
    On the complementarity of the consensus-based disorder prediction.
    Pacific Symposium on Biocomputing, 176-187 (2012).