Publications

  • Corresponding authors are highlighted in bold
  • Student authors under my supervision are underlined

  • The power and limits of predicting exon-exon interactions using protein 3D structures
    Liebold J, Moral-Morales AD, Manalastas-Cantos K, Tsoy O, Kurtz S, Baumbach J, and Newaz K
    bioRxiv, 2025


    Transcription factor prediction using protein 3D secondary structures
    Liebold J*, Neuhaus F*, Geiser J, Kurtz S, Baumbach J, and Newaz K
    Bioinformatics, 2025


    Prognostic importance of splicing-triggered aberrations of protein complex interfaces in cancer
    Newaz K, Schaefers C, Weisel K, Baumbach J, and Frishman D
    NAR Genomics and Bioinformatics, 2024


    Towards future directions in data-integrative supervised prediction of human aging-related genes
    Li Q, Newaz K, and Milenković T
    Bioinformatics Advances, 2022


    Multi‐layer sequential network analysis improves protein 3D structural classification
    Newaz K, Piland J, Clark PL, Emrich SJ, Li J, and Milenković T
    Proteins: Structure, Function, and Bioinformatics, 2022


    Improved supervised prediction of aging-related genes via weighted dynamic network analysis
    Li Q*, Newaz K*, and Milenković T
    BMC Bioinformatics, 2021


    Network analysis of synonymous codon usage
    Newaz K, Wright G, Piland J, Li J, Clark PL, Emrich SJ, and Milenković T
    Bioinformatics, 2020


    Inference of a dynamic aging-related biological subnetwork via network propagation
    Newaz K and Milenković T
    IEEE/ACM transactions on computational biology and bioinformatics, 2020


    Network-based protein structural classification
    Newaz K, Ghalehnovi M*, Rahnama A*, Antsaklis PJ, and Milenković T
    Royal Society Open Science, 2020


    Graphlets in network science and computational biology
    Newaz K and Milenković T
    Analyzing network data in biology and medicine: an interdisciplinary textbook for biological, medical and computational scientists, 2019


    Weighted graphlets and deep neural networks for protein structure classification
    Guo H, Newaz K, Emrich SJ, Milenković T, and Li J
    arXiv, 2019


    GRAFENE: Graphlet-based alignment-free network approach integrates 3D structural and sequence (residue order) data to improve protein structural comparison
    Faisal FE*, Newaz K*, Chaney JL, Li J, Emrich SJ, Clark PL, and Milenković T
    Scientific Reports, 2017


    Identification of major signaling pathways in prion disease progression using network analysis
    Newaz K, Sriram K, and Bera D
    PLOS ONE, 2015