Student Publications

 

  1. G. R. Johnson, J. Li, A. Shariff, G.K.Rohde, and R.F. Murphy (2015) Automated Learning of Subcellular Pattern Variation among Punctate Proteins and of a Generative Model of their Distributions in Relation to Microtubules.  PLoS Computational Biology 11(12): e1004614http://dx.doi.org/10.1371/journal.pcbi.1004614
  2. A.W. Naik, J.D. Kangas, D. P. Sullivan, and R. F. Murphy (2016) Active Machine Learning-driven Experimentation to Determine Compound Effects on Protein Patterns, eLife 5:e10047. doi:10.7554/eLife.10047.
  3. K. T. Roybal, T. E. Buck, X. Ruan, B. H. Cho, D. J. Clark, R. Ambler, H. M. Tunbridge, J. Zhang, P. Verkade, C. Wülfing, and R. F. Murphy (2016) Computational spatiotemporal analysis identifies WAVE2 and Cofilin as joint regulators of costimulation-mediated T cell actin dynamics.  Science Signaling 9:rs3. doi: 10.1126/scisignal.aad4149.
  4. Y. Li, T. D. Majarian, A. W. Naik, G. R. Johnson, and R. F. Murphy (2016) Point process models for localization and interdependence of punctate cellular structures.  Cytometry Part A 89:633-643.  doi: 10.1002/cyto.a.22873.
  5. R. Ambler, X. Ruan, R.F. Murphy, and C. Wülfing (2016) Systems Imaging of the immune synapse.  Methods Mol. Biol., in press.
  6. Spagnolo DM, Gyanchandani R, Al-Kofahi Y, Stern AM, Lezon TR, Gough A, Meyer DE, Ginty F, Sarachan B, Fine J, Lee AV, Taylor D L, Chennubhotla S C. Pointwise mutual information quantifies intratumor heterogeneity in tissue sections labeled with multiple fluorescent biomarkers. J Pathol Inform 2016;7:47
  7. Shirish Paranjpe, …, Silvia Liu, George C.Tseng, George K. Michalopoulos. (2015) Combined systemic elimination of MET and EGFR signaling completely abolishes liver regeneration and leads to liver decompensation. (accepted by Hepatology on Jun 2016)
  8. Yan P. Yu^, Silvia Liu^, Zhigang Huo, Amantha Martin, Joel B. Nelson, George C. Tseng and Jian-Hua Luo*. Genomic copy number variations in the genomes of leukocytes predict prostate cancer clinical outcomes. PLoS ONE. 2015 Aug 21; 10(8): e0135982. (PubMed ID: 26295840)
  9. Zhiguang Huo, Ying Ding, Silvia Liu, Steffi Oesterreich*, George C. Tseng*. (2016) Meta-analytic framework for sparse K-means to identify disease subtypes in multiple transcriptomic studies. Journal of the American Statistical Association. 2015.
  10. Silvia Liu^, Wei-Hsiang Tsai^, Ying Ding^, Rui Chen, Zhou Fang, SungHwan Kim, Tianzhou Ma, Ting-Yu Chang, Jianhua Luo, Hsei-Wei Wang*, I-Fang Chung* and George C. Tseng*. (2016) Comprehensive evaluation of fusion transcript detection algorithms and a meta-caller to combine top performing methods in paired-end RNA-seq data.  Nucleic Acids Research 44, no. 5 : e47-e47. 
  11. Erdem, C., Nagle, A.M., Casa, A.J., Litzenburger, B.C., Wang, Y., Taylor, D.L., Lee, A.V., and Lezon, T.R. (2016). Proteomic Screening and Lasso Regression Reveal Differential Signaling in Insulin and Insulin-like Growth Factor I (IGF1) Pathways. Molecular & Cellular Proteomics 15, 3045-3057. [Published ahead of print on June 30]
  12. Laura Tipton, Elodie Ghedin, and Alison Morris. (2016) The Lung Mycobiome in the Next-generation Sequencing Era.Virulence 2016, 29 Sep 2016
  13. Alison Morris, Joselph N. Paulson, Hisham Talukder, Laura Tipton, Heather Kling, Lijia Cui, Adam Fitch, Mihai Pop, Karen A. Norris and Elodie Ghedin (2016) Longitudinal Analysis of the Lung Microbiota of Cynomolgous Macaques during Long-term SHIV Infection Microbiome 2016 4:38, 8 Jul 2016
  14. Sushma K. Cribbs, Karan Uppal, Shuzhao Li, Dean P. Jones, Laurence Huang, Laura Tipton, Adam Fitch, Ruth M. Greenblatt, Lawrence Kingsley, David M. Guidot, Elodie Ghedin and Alison Morris (2016) Correlation of the lung microbiota with metabolic profiles in bronchoalveolar lavage fluid in HIV infection Microbiome 2016 4:3.
  15. Ye, Z., Baumgartner, M.P., Wingert, B.M. et al. (2015) Optimal strategies for virtual screening of induced-fit and flexible target in the 2015 D3R Grand Challenge.  J Comput Aided Mol Des (2016). doi:10.1007/s10822-016-9941-0
  16. Somayeh Pirhadi, Jocelyn Sunseri, David Ryan Koes . (2016) Open source molecular modeling. Journal of Molecular Graphics and Modelling Volume 69, September 2016, Pages 127–143
  17. J Sunseri, DR Koes (2016 )Pharmit: interactive exploration of chemical space Nucl. Acids Res. doi: 10.1093/nar/gkw287
  18. J Sunseri, M Ragoza, J Collins, (2016) DR Koes A D3R prospective evaluation of machine learning for protein-ligand scoring Journal of Computer-Aided Molecular Design doi:10.1007/s10822-016-9960-x
  19. Chen Q, Kinde MN, Arjunan P, Wells MM, Cohen AE, Xu Y, Tang P. (2015) Direct pore binding as a mechanism for isoflurane inhibition of the pentameric ligand-gated ion channel ELIC. Scientific reports. 5:13833.
  20. Mao, W., Kaya, C., Dutta, A., Horovitz, A., & Bahar, I. (2015). Comparative study of the effectiveness and limitations of current methods for detecting sequence coevolution. Bioinformatics, 31(12), 1929-1937.
  21. Bahar, I., Cheng, M. H., Lee, J. Y., Kaya, C., & Zhang, S. (2015). Structure-encoded global motions and their role in mediating protein-substrate interactions. Biophysical journal, 109(6), 1101-1109.
  22. Xiao-Jun Tian, Hang Zhang, Jingyu Zhang, Jianhua Xing  (2016)  Reciprocal Regulation Between mRNA and miRNA Enables a Bistable Switch That Directs Cell Fate Decisions FEBS Letters
  23. J Zhang, XJ Tian, J Xing (2016) Signal Transduction Pathways of EMT Induced by TGF-β, SHH, and WNT and Their Crosstalks Journal of clinical medicine 5 (4), 41
  24. Solomon B and Kingsford C. (2016) Fast search of thousands of short-read sequencing experiments. Nature Biotechnology. doi:10.1038/nbt.3442
  25. Donovan RM, Tapia J-J, Sullivan DP, Faeder JR, Murphy RF, Dittrich M, and Zuckerman DM. (2016) Unbiased Rare Event Sampling in Spatial Stochastic Systems Biology Models Using a Weighted Ensemble of Trajectories. PLoS Comput Biol 12(2): e1004611. doi:10.1371/journal.pcbi.1004611
  26. Roman, T., Xie, L., & Schwartz, R. (2016). Medoidshift clustering applied to genomic bulk tumor data. BMC Genomics, 17(1), 97.
  27. GR Johnson, TE Buck, DP Sullivan, GK Rohde, RF Murphy. (2015) Joint Modeling of Cell and Nuclear Shape VariationMol. Biol. Cell. Published online 9/9/2015.
  28. Z-H Zuo, Y-P Yu, Y Ding, S Liu, A Michalopoulos, GC Tseng, J-H Luo. (2015) Oncogenic activity of miRNA 650 in prostate cancer is mediated by suppression of CSR1 expression. Accepted, The American Journal of Pathology.
  29. Wells M, Tillman T, Mowrey D, Sun T, Xu Y, Tang P. (2015) Ensemble-based virtual screening for cannabinoid-like potentiators of the human glycine receptor a1 for the treatment of pain. Journal of Medicinal Chemistry. 58(7):2958-66
  30. Mochan-Keef E, Swigon D, Ermentrout GB, Clermont G. (2015) A Three-Tiered Study of Differences in Murine Intrahost Immune Response to Multiple Pneumococcal Strains. PLoS One 10: e0134012.
  31. Price I, Mochan-Keef ED, Swigon D, Ermentrout GB, Lukens S, Toapanta FR, Ross T, Clermont G. (2015) The inflammatory response to influenza A virus (H1N1): An experimental and mathematical study. J Theor Biol. 374: 83–93.
  32. Matthew Patrick Baumgartner and Carlos J. Camacho. On Choosing the Optimal Rigid Receptor for Docking and Scoring in the CSAR 2013/2014 Experiment Journal of Chemical Information and Modeling Just Accepted Manuscript DOI: 10.1021/acs.jcim.5b00338
  33. Grover P, Shi H, Baumgartner M, Camacho CJ, Smithgall TE (2015) Fluorescence Polarization Screening Assays for Small Molecule Allosteric Modulators of ABL Kinase Function. PLoS ONE 10(7): e0133590. doi: 10.1371/journal.pone.0133590
  34. J-H Luo, S Liu, Z-H Zuo, R Chen, GC Tseng, YP Yu. (2015) Discovery and classification of fusion transcripts in prostate cancer and normal prostate tissue. Accepted, The American Journal of Pathology
  35. Roman, T., Nayyeri, A., Fasy, B. T., & Schwartz, R. (2015). A simplicial complex-based approach to unmixing tumor progression data. BMC bioinformatics, *16*(1), 254.
  36. Kumar A, Rao A, Bhavani S, Newberg JY, and Murphy RF. (2014) Automated analysis of immunohistochemistry images identifies candidate location biomarkers for cancers. Proc. Natl. Acad. Sci. U.S.A. 111:18249-18254.
  37. Mochan E, Swigon D, Ermentrout GB, Lukens S, Clermont G. A mathematical model of intrahost pneumococcal pneumonia infection dynamics in murine strains. J Theor Biol. Elsevier; 2014;353: 44–54.
  38. YP Yu, Y Ding, Z Chen, S Liu, R Chen, ZG Gulzar, B Yang, KM Cieply, A Luvison, B-G Ren, JD Brooks, D Jarrard, JB Nelson, GK Michalopoulos, GC Tseng, J-H Luo. (2014) Novel Fusion Transcripts Associate with Progressive Prostate Cancer American Journal of Pathology 18:10, pp 2840-2849.
    PMCID: PMC4188871
  39. Moroco JA, Baumgartner MP, Rust HL, Choi HG, Hur W, Gray NS, Camacho CJ, Smithgall TE (2014) A Discovery Strategy for Selective Inhibitors of c-Src in Complex with the Focal Adhesion Kinase SH3/SH2-binding Region Chem Biol Drug Des. [Epub ahead of print]
    PMID: 25376742
  40. Gardner CL, Hritz J, Sun C, Vanlandingham DL, Song TY, Ghedin E, Higgs S, Klimstra WB, Ryman KD (2014) Deliberate attenuation of chikungunya virus by adaptation to heparan sulfate-dependent infectivity: a model for rational arboviral vaccine design PLoS Negl Trop Dis 8(2):e2719.
  41. Mukherjee, S., Zheng, H., Derebe, M., Callenberg, K.M., Partch, C.L., Rollins, D., Propheter, D.C., Rizo, J., Grabe, M., Jiang, Q., Hooper, L.V. (2014). Antibacterial membrane attack by a pore-forming intestinal C-type lectinNature 505: 103-107. doi:10.1038/nature12729.
    PMCID: PMC4160023
  42. D. Filippova, R. Patro, G. Duggal, C. Kingsford (2014) “Identification of alternative topological domains in chromatin”, Algorithms Mol Biol. 9: 14. Published online May 3, 2014. doi: 10.1186.1748-7188-9-14
    PMCID: PMC4019371
  43. J. S. Hogg, L. A. Harris, L. J. Stover, N. S. Nair, and J. R. Faeder (2014). “Exact hybrid particle/population simulation of rule-based models of biochemical systems.PLOS Comp. Biol. doi:10.1371/journal.pcbi.1003335.
    PMCID: PMC3974646
  44. Kangas JD, Naik AW, Murphy RF,(2014) “Efficient discovery of responses of proteins to compounds using active learning”, BMC Bioinformatics. 2014 May 16;15:143
    PMCID: PMC4030446
  45. Latorraca, N.R.*, Callenberg, K.M.*, Boyle, J.P., Grabe, M. (2014). Continuum approaches to understanding ion and peptide interactions with the membraneJ Membrane Biol 247 (5): 395-408. * co-first authors
  46. S. A. Chowdhury, S. E. Shackney, K. Heselmeyer-Haddad, T. Ried, A. A. Schäffer, R. Schwartz. (2014) “Algorithms to model single gene, single chromosome, and whole genome copy number changes jointly in tumor phylogenetics.“ PLoS Comput Biol. Jul 31;10(7):e1003740. doi: 10.1371/journal.pcbi.1003740. eCollection 2014. PMCID: PMC4117424
  47. Zhang L and Kim S (2014) “Learning gene networks under SNP perturbations using eQTL datasets”, PLoS Comp. Biol. Feb 27;10(2):e1003420
    PMCID: PMC3937098
  48. G.R. Smith, L. Xie, B. Lee, and R. Schwartz. (2014) “Applying cellular crowding models to simulations of capsid assembly in vitro.” Biophysical Journal, 106(1):310-320.
    PMCID: 3907212
  49. MCPath: Monte Carlo path generation approach to predict likely allosteric pathways and functional residues (2013) C Kaya, A Armutlulu, S Ekesan, T Haliloglu Nucleic acids research 41(Web Server issue):W249-55.
    PMID: 23742907
  50. Price I, Ermentrout B, Zamora R, Wang B, Azhar N, Mi Q, Constantine G, Faeder JR, Luckhart S, Vodovotz Y (2013) In vivo, in vitro, and in silico studies suggest a conserved immune module that regulates malaria parasite transmission from mammals to mosquitoes. J Theor Biol pii: S0022-5193(13)00258-0.)
  51. Zinman GE, Naiman S, Kanfi Y, Cohen H, Bar-Joseph Z. (2013) “ExpressionBlast: mining large, unstructured expression databases”, Nat Methods. 2013 Oct;10(10):925-6
  52. Duggal, G., Wang, H., Kingsford, C. (2013) “Higher-order chromatin domains link eQTLs with the expression of far-away genes”, Nucleic Acids Research, 42 (1): 87-96.
    PMCID: PMC3874174
  53. Huang GT, Cunningham K, Benos PV, Chennubhotla C (2013) Spectral clustering strategies for heterogeneous disease expression data. Pac Symp Biocomput, 212-223.
    PMID: 23424126
  54. SA Chowdhury, S Shackney, K Heselmeyer-Haddad, T Ried, AA Schiffer and R Schwartz. (2013) Phylogenetic analysis of multiprobe fluroscence in situ hybridization data from tumor cell populations. Bioinformatics, 29(13) i189-i198.
    PMCID: PMC3694640
  55. Duggal G, Patro R, Sefer E, Wang H, Filippova D, Khuller S, Kingsford C. (2013) Resolving spatial inconsistencies in chromosome conformation measurements. Algorithms Mol Biol. 8(1):8.
    PMCID: PMC3655033
  56. Sedgewick AJ, Benz SC, Rabizadeh S, Soon-Shiong P, Vaske CJ. (2013) Learning Subgroup-Specific Regulatory Interactions and Regulator Independence with PARADIGM. Bioinformatics 29: i62-i70.
    (Proceedings Issue for International Conference on Intelligent Systems for Molecular Biology (ISMB 2013))
    PMCID: PMC3694636
  57. Tsai MC, Blelloch G, Schwartz R, Ravi R. (2013) Coalescent-based method for learning parameters of admixture events from large-scale genetic variation data. IEEE/ACM Trans Comput Biol Bioinform. 10(5):1137-49.
    PMCID: PMC4019315
  58. Cobanoglu MC, Liu C, Hu F, Oltvai ZN, Bahar I (2013) Predicting Drug-Target Interactions Using Probabilistic Matrix Factorization J Chem Inf Model 53 (12), pp 3399–3409
    PMCID: PMC3871285
  59. J. J. Tapia and J. R. Faeder (2013). “The Atomizer: Extracting Implicit Molecular Structure from Reaction Network Models.” Proceedings of ACM Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), September 2013.
  60. Zhou, Y., Vazquez, A., Wise, A., Warita, T., Warita, K., Bar-Joseph, Z., & Oltvai, Z. N. (2013) “Carbon catabolite repression correlates with the maintenance of near invariant molecular crowding in proliferating E. coli cells”, BMC Systems Biology, 7(1), 138.
    PMCID: PMC3924228
  61. Donovan RM, Sedgewick AJ, Faeder JF, and Zuckerman DM. (2013) Efficient stochastic simulation of chemical kinetics networks using a weighted ensemble of trajectories. J Chem Physics 139(11)
    PMCID: PMC3790806
  62. H. Wang, G. Duggal, R. Patro, M. Girvan, S. Hannenhalli, and C. Kingsford. (2013) “Topological properties of chromosome conformation graphs reflect spatial proximities within chromatin”, ACM BCB 2013.
  63. Chang, K.N., Zhong, S., Weirauch, M.T., Hon, G., Pelizzola, M., Li, H., Huang, S.C., Schmitz, R.J., Urich, M.A., Kuo, D., Nery, J.R., Qiao, H., Yang, A., Jamali, A., Chen, H., Ideker, T. Ren, B., Bar-Joseph, Z., Hughes, T.R., Ecker, J.R. (2013)  “Temporal transcriptional response to ethylene gas drives growth hormone cross-regulation in Arabidopsis”, eLife 2013;2:e00675.
  64. Kanfi Y, Naiman S, Amir G, Peshti V, Zinman G, Nahum L, Bar-Joseph Z, Cohen HY, (2012) The sirtuin SIRT6 regulates lifespan in male mice, Nature. Feb 22;483(7388):218-21
    PMID: 22367546
  65. Coral: an integrated suite of visualizations for comparing clusterings. Darya Filippova, Aashish Gadani, Carl Kingsford. BMC Bioinformatics 2012, 13:276.
  66. Dynamic exploration of recording sessions between jazz musicians over time.. D. Filippova, C. Kingsford, M. Fitzgerald, and F. Benadon. SocialCom, p. 368-76 2012.
  67. The Missing Models: a Data-Driven Approach for Learning How Networks Grow.. R. Patro, G. Duggal, E. Sefer, H. Wang, D. Filippova, and C. Kingsford. KDD 2012.
  68. Graph rigidity reveals well-constrained regions of chromosome conformation embeddings (2012) G. Duggal, C. Kingsford. BMC Bioinformatics: 13:241.
  69. Nieman G, Brown D, Sarkar J, Kubiak B, Ziraldo C, Vieau C, Barclay D, Gatto L, Maier K, Zamora R, Mi Q, Chang S, Vodovotz Y. (2012) Endotoxin-induced acute inflammation in swine: Insights from combined data-driven and mechanistic modeling. Crit. Care Med. 40(4):1052-1063.
    PMCID: PMC3308118
  70. Wise, A., Oltvai, Z., Bar-Joseph, Z. (2012) “Matching experiments across species using expression values and textual information”, ISMB 2012 Proceedings, Bioinformatics 28 (12): i258-i264.
    PMCID: PMC3371837
  71. Taylor DP, Wells JZ, Savol A, C. Chennubhotla C, and Wells A. (2013) Modeling boundary conditions for balanced proliferation in metastatic latency. Clin. Cancer Res., vol. 19, no. 5, pp. 1063.1070, Mar. 2013.
    PMCID: PMC3594128
  72. Ramanathan A, Savol A, Burger V, Chennubhotla CS, Agarwal PK (2013) Protein Conformational Populations and Functionally Relevant Substates Accounts Chem Res 47 (1), 149-156.
  73. Mowrey D, Chen Q, Liang Y, Liang J, Xu Y and Tang P. (2013) Signal transduction pathways in the pentameric ligand-gated ion channelsPLoS ONE 8(5): e64326. doi:10.1371/journal.pone.0064326
    PMCID: PMC3648548
  74. Mowrey D, Cheng MH, Liu LT, Willenbring D, Wymore T, Xu Y, Tang P. (2013). Asymmetric ligand binding facilitates conformational transitions in pentameric ligand-gated ion channels. J Am Chem Soc. 35(6): 2172-2180.
    PMCID: PMC3582375
  75. Shao H, Travers T, Camacho CJ, Wells A. (2013) The carboxyl tail of alpha-actinin-4 regulates its susceptibility to m-calpain and thus functions in cell migration and spreading. Int J Biochem Cell Biol. 45(6):1051-63.PMCID: PMC3633689
  76. Ziraldo C, Mi Q, An G, Vodovotz Y. (2013) Computational Models of Inflammation and Wound Healing. Advanced Wound Care 2:527-537.
  77. Travers T, Shao H, Wells A, Camacho CJ. (2013) Modeling the assembly of the multiple domains of α-actinin-4 and its role in actin cross-linking. Biophys J. 104(3):705-15.
    PMCID PMC3566466
  78. Koes, DR, Baumgartner, MP, & Camacho, CJ (2013). Lessons Learned in Empirical Scoring with smina from the CSAR 2011 Benchmarking Exercise. J. Chem Info and Modeling 2013 Feb 12.
    PMID: 23379370
  79. Wisastra R, Kok PA, Eleftheriadis N, Baumgartner MP, Camacho CJ, Haisma HJ, Dekker FJ. (2013) “Discovery of a novel activator of 5-lipoxygenase from an anacardic acid derived compound collection.Bioorg Med Chem. 21(24):7763-78 67.
  80. Dutta A, Shrivastava IH, Sukumaran M, Greger IH, Bahar I (2012) Comparative Dynamics of NMDA- and AMPA-Glutamate Receptor N-Terminal Domains. Structure 20: 1838-49
    PMCID: PMC3496038
  81. Buck TE, Li J, Rohde GK, and Murphy RF. (2012) Towards the virtual cell: Automated approaches to building models of subcellular organization ‘learned’ from microscopy images. Bioessays 34:791-799.
  82. Callenberg, K.M., Latorraca, N.R., Grabe, M. (2012) Membrane bending is critical for the stability of voltage sensor segments in the membrane. J. General Physiology 140 (1): 55. doi: 10.1085/jgp201110766
    PMCID: PMC3382720
  83. Maji S, Bruchez MP. (2012) Inferring Biological Structures from Super-Resolution Single Molecule Images Using Generative Models. PLoS One; 7(5): e36973. Published online 2012 May 22. doi: 10.1371/journal.pone.0036973
    PMCID: PMC3358321
  84. Tapia, J.J., Faeder, J.R., and Munsky, B. (2012) “Adaptive Coarse-Graining for Transient and Quasi-Equilibrium Analyses of Stochastic Gene Regulation.” IEEE 51st Annual Conference on Decision and Control (CDC), pp. 5361-5366.
  85. Song SOK, Hogg J, Peng Z-Y, Parker R, Kellum JA, and Clermont G. (2012) Ensemble Models of Neutrophil Trafficking in Severe Sepsis. PLoS Comput Biol 8(3): e1002422.
    PMCID: PMC3297568
  86. Schulz, M.H.*, Devanny, W.E.*, Gitter, A., Zhong, S., Ernst, J., Bar-Joseph, Z. (2012) “DREM 2.0: Improved reconstruction of dynamic regulatory networks from time-series expression data”, BMC Syst Biol. Aug 16;6:104. [Software] *Co-first authors
    PMCID: PMC3464930
  87. Liu Y, Bahar I (2012) Sequence Evolution Correlates with Structural Dynamics. Mol Biol Evol 29: 2253-63. PMCID: PMC3424413
  88. Curtis RE, Xiang J, Parikh A, and Xing EP (2012) Enabling dynamic network analysis through visualization in TVNViewer. BMC Bioinformatics 13:204 doi:10.1186/1471-2105-13-204
  89. Lin, Y., Li, Z., Ozlolak, F., Kim, SW, Arango-Argoty G., Liu TT, Tenenbaum, SA, Bailey, T, Monaghan, AP, Milos, PM, and John, B. (2012) An in-depth map of polyadenylation sites in cancer. Nucleic Acids Research Jun 29. doi: 10.1093/nar/gks637
  90. Saurabh S, Maji S, and Bruchez MP. (2012) Evaluation of sCMOS cameras for detection and localization of single Cy5 molecules. Optics Express 20, 7338-7349.
    PMCID: PMC3500109
  91. Sekar JA , & Faeder JR (2012). Rule-Based Modeling of Signal Transduction: A Primer. In Computational Modeling of Signaling Networks (pp. 139-218). Humana Press.
  92. K. Heselmeyer-Haddad, L. Y. Berroa Garcia, A. Bradley, C. Ortiz-Melendez, W.-J. Lee, R. Christensen, S. A. Prindiville, K. A. Calzone, P. W. Soballe, Y. Hu, S. A. Chowdhury, R. Schwartz, A. A. Schäffer, and T. Ried. (2012) “Single-cell genetic analysis of ductal carcinoma in situ and invasive breast cancer reveals enormous tumor heterogeneity, yet conserved genomic imbalances and gain of MYC during progression.” American Journal of Pathology, 181(11):1807-1822
    PMCID: 3483801.
  93. Bondarenko V, Mowrey D, Tillman T, Cui T, Liu LT, Xu Y, Tang P. (2012) NMR structures of the transmembrane domains of the ∝4β2 nAChR Biochemica et Biophysica Acta 1818(5):1261-8.
  94. M Stolzer, H Lai, M Xu, D Sathaye, B Vernot, D Durand. (2012) Inferring duplications, losses, transfers and incomplete lineage sorting with nonbinary species trees. ECCB2012: Bioinformatics 28 (18): i409-i415.
    PMCID: PMC3436813
  95. Burger V and Chennubhotla C. (2012) Nhs: Network-based hierarchical segmentation for Cryo-EM density maps. Biopolymers 97(9):732-41 doi: 10.1002/bip.22041.
    PMCID: PMC3483038
  96. Curtis RE, Yin J, Kinnaird P, Xing EP. (2012) Finding genome-transcriptome-phenome association with structured association mapping and visualization in GenAMap. Pacific Symposium on Biocomputing 17:327-338.
  97. Li J, Shariff A, Wiking M, Lundberg E, Rohde GK, and Murphy RF. (2012) Estimating microtubule distributions from 2D immunofluorescence microscopy images reveals differences among human cultured cell lines. PLoS ONE 7:e0050292.
  98. Pan J, Chen Q, Willenbring D, Mowrey D, Kong XP, Cohen A, Divito CB, Xu Y, Tang P. (2012). Structure of the Pentameric Ligand-Gated Ion Channel GLIC Bound With Anesthetic Ketamine. Structure. 20(9): 1463-1469.
    PMCID: PMC3446250
  99. B. Lee, P. R. LeDuc, and R. Schwartz. (2012) “Three-dimensional stochastic off-lattice model of binding chemistry in crowded environments.” PLoS One, 7(1):e30131
    PMCID: 3260218.
  100. Burger V, Ramanathan A, Savol A, Stanley C, Agarwal P, Chennubhotla C. (2012) Quasi-Anharmonic Analysis Reveals Intermediate States in the Nuclear Co-Activator Receptor Binding Domain Ensemble Pacific Symposium on Biocomputing 17:70-81.
  101. L. Xie, G. Smith, X. Feng, and R. Schwartz. (2012) “Surveying capsid assembly pathways through simulation-based data fitting.” Biophysical Journal, 103:1545-1554
    PMCID: 3471458.
  102. Zamora R, Azhar N, Nammas R, Metukuri MR, Clermont T, Gladstone C, Namas R, Hermus L, Megas C, Constantine G, Billiar TR, Fink MP, Delude R, Vodovotz Y. (2012) Identification of a novel pathway of transforming growth factor-β1 regulation by extracellular NAD+ in mouse macrophages: In vitro and in silico studies. J. Biol. Chem. 287:31003-31014.
    PMCID: PMC3438933
  103. Curtis RE, Goyal A, Xing EP. (2012) Enhancing the usability and performance of structured association mapping algorithms using automation, parallelization, and visualization in the GenAMap Software system. BMC Genetics 13:24 PMCID: PMC3342145
  104. Kim H, Bernard ME, Farkas A, Goff J, Kalash R, Houghton F, Shields D, Franicola D, Dixon T, Zhang X, Epperly M, Wang H, Cobanoglu MC, Greenberger JS. (2012) Ionizing Irradiation Protection and Mitigation of Murine Cells by Carbamazepine is p53 and Autophagy Independent. In Vivo. 2012 May; Vol. 26, No. 3; pages 341-54.
    PMCID: PMC3335174
  105. Cobanoglu MC, Saygin Y, Sezerman U (2011) Classification of GPCRs using family specific motifs IEEE/ACM Trans Comput Biol Bioinform 8: 1495-508. PMID: 20876934.
  106. Cui T, Mowrey D, Bondarenko V, Tillman T, Ma D, Landrum E, Perez-Aguilar JM, He J, Wang W, Saven JG, Eckenhoff RG, Tang P, Xu Y. (2011) NMR structure and dynamics of a designed water-soluble transmembrane domain of nicotinic acetylcholine receptor. Biochemica et Biophysica Acta 1818(3):617-26. doi: 10.1016 PMCID: PMC3273582
  107. Myint K-Z, Ma C, Wang L, and Xie XQ. (2011) The Fragment-Similarity-Based QSAR (FS-QSAR): A Novel 2D-QSAR Method to Predict Biological Activities of Triaryl Bis-sulfone and COX2 analogs. SAR and QSAR in Environmental Research 22, pp. 385-410.
  108. A. Savol, V. Burger, P. Agarwal, A. Ramanathan, and C.S. Chennubhotla (2011) QAARM: quasi-anharmonic autoregressive model reveals molecular recognition pathways in ubiquitin Bioinformatics 27 i52-i60 doi: 10.1093
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