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Nanda K. Yellapu, Ph.D

Nanda Yellapu portrait
Research Instructor, Biostatistics & Data Science

Professional Background

Dr. Nanda Kumar Yellapu is a Research Instructor in the Department of Biostatistics and Data Science. He received his PhD in Bioinformatics from Sri Venkateswara University, India and worked as Bioinformatics Scientist at Indian Council of Medical Research-Vector Control Research Center, India for 6 years. Further, he completed his postdoctoral training in the Department of Biostatistics and Data Science, KUMC. His primary research involves the analysis of high throughput Omics data, gene network models and molecular modelling studies. He is passionate in the integration of genomics, transcriptomics and proteomics data ingeniously, identifying key molecules associated with the diseases, and characterizing their biological functions to develop predictive and preventive strategies.

Education and Training
  • PhD, Bioinformatics, Sri Venkateswara University, Tirupati, India
  • MSC, Bioinformatics, Sri Venkateswara Institute of Medical Sciences, Tirupati, India
  • BSc, Biotechnology, Sri Krishnadevaraya University, Anantapur, India
  • Other, Diploma-Information Technology, Sikkim Manipal University, India
  • Other, Scientist-C-Bioinformatics, ICMR-Vector Control Research Center, Pondicherry, India
  • Post Doctoral Fellowship, Bioinformatics, University of Kansas Medical Center, Kansas, United States
Professional Affiliations
  • American Physical Society, Member, 2022 - Present
  • International Society for Computational Biology, Member, 2022 - Present
  • The University of Kansas Cancer Center, Member, 2022 - Present



My research interests are involved with the analysis of high throughput omics data using bioinformatics pipelines and statistical methods. Most of my research focused on studying and characterization of molecular pathogenesis of various communicable and non-communicable diseases to provide effective leads to the in vitro investigations. My current research typically focuses on Triple Negative Breast Cancer (TNBC) to study the differential expression analysis of RNASeq data, identification of treatment specific response signatures, predictive modelling and Protein-Protein Interaction (PPI) network mapping. Other areas of research include Molecular modelling methods to study the protein-ligand and protein-protein interactions, protein conformational studies and molecular dynamics simulations.

  • Yellapu, N., K, Ly, T, Sardiu, M., E, Pei, D, Welch, D., R, Thompson, J., A, Koestler, D., C. 2022. Synergistic anti-proliferative activity of JQ1 and GSK2801 in triple-negative breast cancer.. BMC cancer, 22 (1), 627
  • Yellapu, N., K, Patel, S, Zhang, B, Meier, R, Neums, L, Pei, D, Xia, Q, Rotich, D, Zimmermann, R., C, Nissen, E, Bell-Glenn, S, Shae, W, Hu, J, Chalise, P, Chollet-Hinton, L, Koestler, D., C, Thompson, J., A. 2020. Evolutionary Analysis of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) Reveals Genomic Divergence with Implications for Universal Vaccine Efficacy.. Vaccines, 8 (4)
  • Wilkins, H., M, Wang, X, Menta, B., W, Koppel, S., J, Bothwell, R, Becker, A., M, Anderson, H, Schwartz, E, Pei, D, Yellapu, N., K, Chalise, P, Gouvion, C., M, Haeri, M, Burns, J., M, Swerdlow, R., H. 2021. Bioenergetic and inflammatory systemic phenotypes in Alzheimer's disease APOE ε4-carriers.. Aging cell, 20 (5), e13356
  • Gopal, J, Ramamoorthy, T, Kasinathan, G, Narendran, P., K, Purushothaman, J, Yellapu, N., K. 2020. VectorInfo: A web resource for medically important Indian arthropod disease vectors.. Acta tropica, 211, 105601
  • Fabian, C., J, Khan, S., A, Garber, J., E, Dooley, W., C, Yee, L., D, Klemp, J., R, Nydegger, J., L, Powers, K., R, Kreutzjans, A., L, Zalles, C., M, Metheny, T, Phillips, T., A, Hu, J, Koestler, D., C, Chalise, P, Yellapu, N., K, Jernigan, C, Petroff, B., K, Hursting, S., D, Kimler, B., F. 2020. Randomized Phase IIB Trial of the Lignan Secoisolariciresinol Diglucoside in Premenopausal Women at Increased Risk for Development of Breast Cancer.. Cancer prevention research (Philadelphia, Pa.), 13 (7), 623-634
  • Yellapu, N., K, Kandlapalli, K, Kandimalla, R, Adi, P., J. 2018. Conformational transition pathway of R308K mutant glucokinase in the presence of the glucokinase activator YNKGKA4.. FEBS open bio, 8 (8), 1202-1208
  • Yellapu, N., K, Gopal, J, Kasinathan, G, Purushothaman, J. 2018. Molecular modelling studies of kdr mutations in voltage gated sodium channel revealed significant conformational variations contributing to insecticide resistance.. Journal of biomolecular structure & dynamics, 36 (8), 2058-2069
  • Yellapu, N., K, Pulaganti, M, Pakala, S., B. 2017. Bioinformatics exploration of PAK1 (P21-activated kinase-1) revealed potential network gene elements in breast invasive carcinoma.. Journal of biomolecular structure & dynamics, 35 (10), 2269-2279
  • Yellapu, N., K, Kilaru, R., B, Chamarthi, N, Pvgk, S, Matcha, B. 2017. Structure based design, synthesis and biological evaluation of amino phosphonate derivatives as human glucokinase activators.. Computational biology and chemistry, 68, 118-130
  • Yellapu, N., K, Kilaru, R., B, Chamarthi, N, Pvgk, S, Matcha, B. 2017. Structure based design, synthesis and biological evaluation of amino phosphonate derivatives as human glucokinase activators.. Computational biology and chemistry, 68, 118-130