Mallick Lab

~ translating multi-omic discovery into precision diagnostics ~
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publications

  • Towards Continuous Scientific Data Analysis and Hypothesis Evolution Thirty-First AAAI Conference on Artificial IntelligenceGil, Y., Garijo, D., Ratnakar, V., Mayani, R., Adusumilli, R., Boyce, H., Srivastava, A., Mallick, P.
  • Epigenetic changes mediated by polycomb repressive complex 2 and E2a are associated with drug resistance in a mouse model of lymphoma GENOME MEDICINEFlinders, C., Lam, L., Rubbi, L., Ferrari, R., Fitz-Gibbon, S., Chen, P., Thompson, M., Christofk, H., Agus, D. B., Ruderman, D., Mallick, P., Pellegrini, M.2016; 8
  • The Impact of Microenvironmental Heterogeneity on the Evolution of Drug Resistance in Cancer Cells. Cancer informaticsMumenthaler, S. M., Foo, J., Choi, N. C., Heise, N., Leder, K., Agus, D. B., Pao, W., Michor, F., Mallick, P.2015; 14: 19-31 
  • Simulation of the Protein-Shedding Kinetics of a Fully Vascularized Tumor. Cancer informaticsFrieboes, H. B., Curtis, L. T., Wu, M., Kani, K., Mallick, P.2015; 14: 163-175 
  • A cross-platform toolkit for mass spectrometry and proteomics NATURE BIOTECHNOLOGYChambers, M. C., MacLean, B., Burke, R., Amodei, D., Ruderman, D. L., Neumann, S., Gatto, L., Fischer, B., Pratt, B., Egertson, J., Hoff, K., Kessner, D., Tasman, N., Shulman, N., Frewen, B., Baker, T. A., Brusniak, M., Paulse, C., Creasy, D., Flashner, L., Kani, K., Moulding, C., Seymour, S. L., Nuwaysir, L. M., Lefebvre, B., Kuhlmann, F., Roark, J., Rainer, P., Detlev, S., Hemenway, T., Huhmer, A., Langridge, J., Connolly, B., Chadick, T., Holly, K., Eckels, J., Deutsch, E. W., Moritz, R. L., Katz, J. E., Agus, D. B., MacCoss, M., Tabb, D. L., Mallick, P.2012; 30 (10): 918-920 
  • A Bayesian Active Learning Experimental Design for Inferring Signaling Networks International Conference on Research in Computational Molecular BiologyNess, R., Sachs, K., Mallick, P., Vitek, O.
  • Improving Publication and Reproducibility of Computational Experiments through Workflow Abstractions. Workshop on Capturing Scientific Knowledge (SciKnow), held in conjunction with the ACM International Conference on Knowledge Capture (K-CAP)Gil, Y., Garijo, D., Knoblock, M., Deng, A., Adusumilli, R., Ratnakar, V., Mallick, P.
  • Automated Hypothesis Testing with Large Scientific Data Repositories Annual Conference on Advance s in Cognitive SystemsGil, Y., Garijo, D., Ratnakar, V., Mayani, R., Adusumilli, R., Boyce, H., Mallick, P.
  • Longitudinal Multiplexed Measurement of Quantitative Proteomic Signatures in Mouse Lymphoma Models Using Magneto-Nanosensors. TheranosticsLee, J. R., Appelmann, I., Miething, C., Shultz, T. O., Ruderman, D., Kim, D., Mallick, P., Lowe, S. W., Wang, S. X.2018; 8 (5): 1389–98 
    Building trans-omics evidence: using imaging and 'omics' to characterize cancer profiles. Pacific Symposium on Biocomputing. Pacific Symposium on BiocomputingSrivastava, A., Kulkarni, C., Mallick, P., Huang, K., Machiraju, R.2018; 23: 377–87 
    Global Transcriptome Analysis of RNA Abundance Regulation by ADAR in Lung Adenocarcinoma.EBioMedicineSharpnack, M. F., Chen, B., Aran, D., Kosti, I., Sharpnack, D. D., Carbone, D. P., Mallick, P., Huang, K.2018; 27: 167–75 
    How many human proteoforms are there? Nature chemical biologyAebersold, R., Agar, J. N., Amster, I. J., Baker, M. S., Bertozzi, C. R., Boja, E. S., Costello, C. E., Cravatt, B. F., Fenselau, C., Garcia, B. A., Ge, Y., Gunawardena, J., Hendrickson, R. C., Hergenrother, P. J., Huber, C. G., Ivanov, A. R., Jensen, O. N., Jewett, M. C., Kelleher, N. L., Kiessling, L. L., Krogan, N. J., Larsen, M. R., Loo, J. A., Ogorzalek Loo, R. R., Lundberg, E., MacCoss, M. J., Mallick, P., Mootha, V. K., Mrksich, M., Muir, T. W., Patrie, S. M., Pesavento, J. J., Pitteri, S. J., Rodriguez, H., Saghatelian, A., Sandoval, W., Schlüter, H., Sechi, S., Slavoff, S. A., Smith, L. M., Snyder, M. P., Thomas, P. M., Uhlén, M., Van Eyk, J. E., Vidal, M., Walt, D. R., White, F. M., Williams, E. R., Wohlschlager, T., Wysocki, V. H., Yates, N. A., Young, N. L., Zhang, B.2018; 14 (3): 206–14 
    JUN-Mediated downregulation of EGFR signaling is associated with resistance to gefitinib in EGFR-mutant NSCLC cell lines. Molecular cancer therapeuticsKani, K., Garri, C., Tiemann, K., Malihi, P. D., Punj, V., Nguyen, A. L., Lee, J., Hughes, L. D., Alvarez, R. M., Wood, D. M., Joo, A. Y., Katz, J. E., Agus, D. B., Mallick, P.2017 
    Data Conversion with ProteoWizard msConvert. Methods in molecular biology (Clifton, N.J.)Adusumilli, R., Mallick, P.2017; 1550: 339-368 
    Longitudinal Monitoring of Antibody Responses against Tumor Cells Using Magneto-nanosensors with a Nanoliter of Blood. Nano lettersLee, J. R., Chan, C. T., Ruderman, D., Chuang, H. Y., Gaster, R. S., Atallah, M., Mallick, P., Lowe, S. W., Gambhir, S. S., Wang, S. X.2017; 17 (11): 6644–52 
    Assessing biological and technological variability in protein levels measured in pre-diagnostic plasma samples of women with breast cancer. Biomarker researchYeh, C. Y., Adusumilli, R., Kullolli, M., Mallick, P., John, E. M., Pitteri, S. J.2017; 5: 30 
    Platelet count as a predictor of metastasis and venous thromboembolism in patients with cancer.Convergent science physical oncologySylman, J. L., Mitrugno, A., Tormoen, G. W., Wagner, T. H., Mallick, P., McCarty, O. J.2017; 3 (2) 
    A Robust Protocol for Protein Extraction and Digestion. Methods in molecular biology (Clifton, N.J.)Atallah, M., Flory, M. R., Mallick, P.2017; 1550: 1-10 
    Dual transcript and protein quantification in a massive single cell array. Lab on a chipPark, S., Lee, J. Y., Hong, S., Lee, S. H., Dimov, I. K., Lee, H., Suh, S., Pan, Q., Li, K., Wu, A. M., Mumenthaler, S. M., Mallick, P., Lee, L. P.2016; 16 (19): 3682-3688
  • Single cell dynamic phenotyping SCIENTIFIC REPORTSPatsch, K., Chiu, C., Engeln, M., Agus, D. B., Mallick, P., Mumenthaler, S. M., Ruderman, D.2016; 6 
    Protein biomarkers on tissue as imaged via MALDI mass spectrometry: A systematic approach to study the limits of detection PROTEOMICSvan de Ven, S. M., Bemis, K. D., Lau, K., Adusumilli, R., Kota, U., Stolowitz, M., Vitek, O., Mallick, P., Gambhir, S. S.2016; 16 (11-12): 1660-1669 
    Probabilistic Segmentation of Mass Spectrometry (MS) Images Helps Select Important Ions and Characterize Confidence in the Resulting Segments MOLECULAR & CELLULAR PROTEOMICSBemis, K. D., Harry, A., Eberlin, L. S., Ferreira, C. R., van de Ven, S. M., Mallick, P., Stolowitz, M., Vitek, O.2016; 15 (5): 1761-1772More
     
  • AshwaMAX and Withaferin A inhibits gliomas in cellular and murine orthotopic models JOURNAL OF NEURO-ONCOLOGYChang, E., Pohling, C., Natarajan, A., Witney, T. H., Kaur, J., Xu, L., Gowrishankar, G., D'Souza, A. L., Murty, S., Schick, S., Chen, L., Wu, N., Khaw, P., Mischel, P., Abbasi, T., Usmani, S., Mallick, P., Gambhir, S. S.2016; 126 (2): 253-264 
    A high-content image-based method for quantitatively studying context-dependent cell population dynamics. Scientific reportsGarvey, C. M., Spiller, E., Lindsay, D., Chiang, C., Choi, N. C., Agus, D. B., Mallick, P., Foo, J., Mumenthaler, S. M.2016; 6: 29752-? 
    NEW HORIZONS IN INTACT PROTEIN ANALYSIS: OPTIMIZATION OF TOP-DOWN PROTEIN ANALYSISCHEMICAL & ENGINEERING NEWSSharma, S., Mallick, P., Stoyanova, T., Mullen, C., Weisbrod, C., Canterbury, J., Horn, D., Zabrouskov, V.2015: 12-14
  • A fully human scFv phage display library for rapid antibody fragment reformatting PROTEIN ENGINEERING DESIGN & SELECTIONLi, K., Zettlitz, K. A., Lipianskaya, J., Zhou, Y., Marks, J. D., Mallick, P., Reiter, R. E., Wu, A. M.2015; 28 (10): 307-315
     
  • Cardinal: an R package for statistical analysis of mass spectrometry-based imaging experimentsBIOINFORMATICSBemis, K. D., Harry, A., Eberlin, L. S., Ferreira, C., van de Ven, S. M., Mallick, P., Stolowitz, M., Vitek, O.2015; 31 (14): 2418-2420 
  • Predictive Modeling of Drug Response in Non-Hodgkin's Lymphoma PLOS ONEFrieboes, H. B., Smith, B. R., Wang, Z., Kotsuma, M., Ito, K., Day, A., Cahill, B., Flinders, C., Mumenthaler, S. M., Mallick, P., Simbawa, E., Al-Fhaid, A. S., Mahmoud, S. R., Gambhir, S. S., Cristini, V.2015; 10 (6) 
  • Neuronal Activity Promotes Glioma Growth through Neuroligin-3 Secretion CELLVenkatesh, H. S., Johung, T. B., Caretti, V., Noll, A., Tang, Y., Nagaraja, S., Gibson, E. M., Mount, C. W., Polepalli, J., Mitra, S. S., Woo, P. J., Malenka, R. C., Vogel, H., Bredel, M., Mallick, P., Monje, M.2015; 161 (4): 803-816 
  • Building high-quality assay libraries for targeted analysis of SWATH MS data. Nature protocolsSchubert, O. T., Gillet, L. C., Collins, B. C., Navarro, P., Rosenberger, G., Wolski, W. E., Lam, H., Amodei, D., Mallick, P., MacLean, B., Aebersold, R.2015; 10 (3): 426-441 
  • Predictive Modeling of Drug Response in Non-Hodgkin's Lymphoma. PloS oneFrieboes, H. B., Smith, B. R., Wang, Z., Kotsuma, M., Ito, K., Day, A., Cahill, B., Flinders, C., Mumenthaler, S. M., Mallick, P., Simbawa, E., Al-Fhaid, A. S., Mahmoud, S. R., Gambhir, S. S., Cristini, V.2015; 10 (6) 
  • Anti-MET ImmunoPET for Non-Small Cell Lung Cancer Using Novel Fully Human Antibody Fragments MOLECULAR CANCER THERAPEUTICSLi, K., Tavare, R., Zettlitz, K. A., Mumenthaler, S. M., Mallick, P., Zhou, Y., Marks, J. D., Wu, A. M.2014; 13 (11): 2607-2617 
  • Anti-MET immunoPET for non-small cell lung cancer using novel fully human antibody fragments.Molecular cancer therapeuticsLi, K., Tavaré, R., Zettlitz, K. A., Mumenthaler, S. M., Mallick, P., Zhou, Y., Marks, J. D., Wu, A. M.2014; 13 (11): 2607-2617 
  • Employing ProteoWizard to Convert Raw Mass Spectrometry Data. Current protocols in bioinformatics / editoral board, Andreas D. Baxevanis ... [et al.]Holman, J. D., Tabb, D. L., Mallick, P.2014; 46: 13 24 1-9 
  • Characterizing deformability and surface friction of cancer cells. Proceedings of the National Academy of Sciences of the United States of AmericaByun, S., Son, S., Amodei, D., Cermak, N., Shaw, J., Kang, J. H., Hecht, V. C., Winslow, M. M., Jacks, T., Mallick, P., Manalis, S. R.2013; 110 (19): 7580-7585 
  • A physical sciences network characterization of non-tumorigenic and metastatic cells SCIENTIFIC REPORTSAgus, D. B., Alexander, J. F., Arap, W., Ashili, S., Aslan, J. E., Austin, R. H., Backman, V., Bethel, K. J., Bonneau, R., Chen, W., Chen-Tanyolac, C., Choi, N. C., Curley, S. A., Dallas, M., Damania, D., Davies, P. C., Decuzzi, P., Dickinson, L., Estevez-Salmeron, L., Estrella, V., Ferrari, M., Fischbach, C., Foo, J., Fraley, S. I., Frantz, C., Fuhrmann, A., Gascard, P., Gatenby, R. A., Geng, Y., Gerecht, S., Gillies, R. J., Godin, B., Grady, W. M., Greenfield, A., Hemphill, C., Hempstead, B. L., Hielscher, A., Hillis, W. D., Holland, E. C., Ibrahim-Hashim, A., Jacks, T., Johnson, R. H., Joo, A., Katz, J. E., Kelbauskas, L., Kesselman, C., King, M. R., Konstantopoulos, K., Kraning-Rush, C. M., Kuhn, P., Kung, K., Kwee, B., Lakins, J. N., Lambert, G., Liao, D., Licht, J. D., Liphardt, J. T., Liu, L., Lloyd, M. C., Lyubimova, A., Mallick, P., Marko, J., McCarty, O. J., Meldrum, D. R., Michor, F., Mumenthaler, S. M., Nandakumar, V., O'Halloran, T. V., Oh, S., Pasqualini, R., Paszek, M. J., Philips, K. G., Poultney, C. S., Rana, K., Reinhart-King, C. A., Ros, R., Semenza, G. L., Senechal, P., Shuler, M. L., Srinivasan, S., Staunton, J. R., Stypula, Y., Subramanian, H., Tlsty, T. D., Tormoen, G. W., Tseng, Y., van Oudenaarden, A., Verbridge, S. S., Wan, J. C., Weaver, V. M., Widom, J., Will, C., Wirtz, D., Wojtkowiak, J., Wu, P.2013; 3 
  • Anterior gradient 2 (AGR2): Blood-based biomarker elevated in metastatic prostate cancer associated with the neuroendocrine phenotype PROSTATEKani, K., Malihi, P. D., Jiang, Y., Wang, H., Wang, Y., Ruderman, D. L., Agus, D. B., Mallick, P., Gross, M. E.2013; 73 (3): 306-315 
  • Concurrent Transcript and Protein Quantification in a Massive Single Cell Array Enables Population-Wide Observation of Oncogene Escape 57th Annual Meeting of the Biophysical-SocietyPark, S., Lee, J. Y., Hong, S., Dimov, I. K., Li, K., Wu, A. M., Mumenthaler, S., Mallick, P., Lee, L. P.CELL PRESS. 2013: 686A–686A 
  • Unexpected Dissemination Patterns in Lymphoma Progression Revealed by Serial Imaging within a Murine Lymph Node CANCER RESEARCHIto, K., Smith, B. R., Parashurama, N., Yoon, J., Song, S. Y., Miething, C., Mallick, P., Lowe, S., Gambhir, S. S.2012; 72 (23): 6111-6118 
  • Quantitative Proteomic Profiling Identifies Protein Correlates to EGFR Kinase Inhibition MOLECULAR CANCER THERAPEUTICSKani, K., Faca, V. M., Hughes, L. D., Zhang, W., Fang, Q., Shahbaba, B., Luethy, R., Erde, J., Schmidt, J., Pitteri, S. J., Zhang, Q., Katz, J. E., Gross, M. E., Plevritis, S. K., McIntosh, M. W., Jain, A., Hanash, S., Agus, D. B., Mallick, P.2012; 11 (5): 1071-1081 
  • Investigation of acquired resistance to EGFR-targeted therapies in lung cancer using cDNA microarrays. Methods in molecular biology (Clifton, N.J.)Kani, K., Sordella, R., Mallick, P.2012; 795: 233-253 
  • Cancer as a Multi-scale Complex Adaptive System Assessment Of Physical Sciences And Engineering Advances In Life Sciences And Oncology (Aphelion) In EuropeParag Mallick2012: 4-21
  • Installation and use of LabKey Server for proteomics. Current protocols in bioinformatics / editoral board, Andreas D. Baxevanis ... [et al.]Eckels, J., Hussey, P., Nelson, E. K., Myers, T., Rauch, A., Bellew, M., Connolly, B., Law, W., Eng, J. K., Katz, J., McIntosh, M., Mallick, P., Igra, M.2011; Chapter 13: Unit 13 5-? 
  • Evolutionary Modeling of Combination Treatment Strategies To Overcome Resistance to Tyrosine Kinase Inhibitors in Non-Small Cell Lung Cancer MOLECULAR PHARMACEUTICSMumenthaler, S. M., Foo, J., Leder, K., Choi, N. C., Agus, D. B., Pao, W., Mallick, P., Michor, F.2011; 8 (6): 2069-2079 
  • A High-Confidence Human Plasma Proteome Reference Set with Estimated Concentrations in PeptideAtlas MOLECULAR & CELLULAR PROTEOMICSFarrah, T., Deutsch, E. W., Omenn, G. S., Campbell, D. S., Sun, Z., Bletz, J. A., Mallick, P., Katz, J. E., Malmstroem, J., Ossola, R., Watts, J. D., Lin, B., Zhang, H., Moritz, R. L., Aebersold, R.2011; 10 (9) 
  • Impact of Protein Stability, Cellular Localization, and Abundance on Proteomic Detection of Tumor-Derived Proteins in Plasma PLOS ONEFang, Q., Kani, K., Faca, V. M., Zhang, W., Zhang, Q., Jain, A., Hanash, S., Agus, D. B., McIntosh, M. W., Mallick, P.2011; 6 (7) 
  • Applying Multi-Agent Techniques to Cancer Modeling Proceedings of the Sixth Workshop on Multiagent Sequential Decision Making in Uncertain DomainsBrown M, Bowring Epstein S, Maheswaran R, Mallick P, Tambe M.2011
  • Interactively Mapping Data Sources into the Semantic Web Proceedings of The First International Symposium on Linked ScienceKnoblock C, Szekely P, Ambite JL, Gupta S, Aman Goel, Muslea M, Lerman K, Mallick P2011; 783
  • Model-based discovery of circulating biomarkers. Methods in molecular biology (Clifton, N.J.)Vogelsang, M. S., Kani, K., Katz, J. E., Mallick, P.2011; 728: 87-107 
  • Peptide Identification from Mixture Tandem Mass Spectra MOLECULAR & CELLULAR PROTEOMICSWang, J., Perez-Santiago, J., Katz, J. E., Mallick, P., Bandeira, N.2010; 9 (7): 1476-1485 
  • Proteomics: a pragmatic perspective NATURE BIOTECHNOLOGYMallick, P., Kuster, B.2010; 28 (7): 695-709 
  • Mass spectrometry based proteomics in cancer research Modern Molecular Biology: Approaches for Unbiased Discovery in Cancer ResearchAbbani M, Mallick P, Vogelsang M2010: 117-156
  • Recommendations from the 2008 International Summit on Proteomics Data Release and Sharing Policy: The Amsterdam Principles JOURNAL OF PROTEOME RESEARCHRodriguez, H., Snyder, M., Uhlen, M., Andrews, P., Beavis, R., Borchers, C., Chalkley, R. J., Cho, S. Y., Cottingham, K., Dunn, M., Dylag, T., Edgar, R., Hare, P., Heck, A. J., Hirsch, R. F., Kennedy, K., Kolar, P., Kraus, H., Mallick, P., Nesvizhskii, A., Ping, P., Ponten, F., Yang, L., Yates, J. R., Stein, S. E., Hermjakob, H., Kinsinger, C. R., Apweiler, R.2009; 8 (7): 3689-3692 
  • ProteoWizard: open source software for rapid proteomics tools development BIOINFORMATICSKessner, D., Chambers, M., Burke, R., Agusand, D., Mallick, P.2008; 24 (21): 2534-2536 
  • Halobacterium salinarum NRC-1 PeptideAtlas: Toward strategies for targeted proteomics and improved proteome coverage JOURNAL OF PROTEOME RESEARCHVan, P. T., Schmid, A. K., King, N. L., Kaur, A., Pan, M., Whitehead, K., Koide, T., Facciotti, M. T., Goo, Y. A., Deutsch, E. W., Reiss, D. J., Mallick, P., Baliga, N. S.2008; 7 (9): 3755-3764 
  • Precursor-ion mass re-estimation improves peptide identification on hybrid instruments JOURNAL OF PROTEOME RESEARCHLuethy, R., Kessner, D. E., Katz, J. E., McLean, B., Grothe, R., Kani, K., Faca, V., Pitteri, S., Hanash, S., Agus, D. B., Mallick, P.2008; 7 (9): 4031-4039 
  • The standard protein mix database: A diverse data set to assist in the production of improved peptide and protein identification software tools JOURNAL OF PROTEOME RESEARCHKlimek, J., Eddes, J. S., Hohmann, L., Jackson, J., Peterson, A., Letarte, S., Gafken, P. R., Katz, J. E., Mallick, P., Lee, H., Schmidt, A., Ossola, R., Eng, J. K., Aebersold, R., Martin, D. B.2008; 7 (1): 96-103 
  • Computational prediction of proteotypic peptides for quantitative proteomics. Nature biotechnologyMallick, P., Schirle, M., Chen, S. S., Flory, M. R., Lee, H., Martin, D., Ranish, J., Raught, B., Schmitt, R., Werner, T., Kuster, B., Aebersold, R.2007; 25 (1): 125-131 
  • eComputational prediction of proteotypic peptides for quantitative proteomics NATURE BIOTECHNOLOGYMallick, P., Schirle, M., Chen, S. S., Flory, M. R., Lee, H., Martin, D., Raught, B., Schmitt, R., Werner, T., Kuster, B., Aebersold, R.2007; 25 (1): 125-131 
  • Quantitative proteomic analysis of the budding yeast cell cycle using acid-cleavable isotope-coded affinity tag reagents PROTEOMICSFlory, M. R., Lee, H., Bonneau, R., Mallick, P., Serikawa, K., Morris, D. R., Aebersold, R.2006; 6 (23): 6146-6157 
  • Protein cross-linking analysis using mass spectrometry, isotope-coded cross-linkers, and integrated computational data processing JOURNAL OF PROTEOME RESEARCHSeebacher, J., Mallick, P., Zhang, N., Eddes, J. S., Aebersold, R., Gelb, M. H.2006; 5 (9): 2270-2282 
  • Mutagenesis of putative serine-threonine phosphorylation sites proximal to Arg255 of human cytochrome P450c17 does not selectively promote its 17,20-lyase activity FERTILITY AND STERILITYSouter, I., Munir, I., Mallick, P., Weitsman, S. R., Geller, D. H., Magoffin, D. A.2006; 85: 1290-1299 
  • Signal maps for mass spectrometry-based comparative proteomics MOLECULAR & CELLULAR PROTEOMICSPrakash, A., Mallick, P., Whiteaker, J., Zhang, H. D., Paulovich, A., Flory, M., LEE, H., Aebersold, R., Schwikowski, B.2006; 5 (3): 423-432 
  • Analysis of the Saccharomyces cerevisiae proteome with PeptideAtlas GENOME BIOLOGYKing, N. L., Deutsch, E. W., Ranish, J. A., Nesvizhskii, A. I., Eddes, J. S., Mallick, P., Eng, J., Desiere, F., Flory, M., Martin, D. B., Kim, B., Lee, H., Raught, B., Aebersold, R.2006; 7 (11) 
  • The PeptideAtlas project NUCLEIC ACIDS RESEARCHDesiere, F., Deutsch, E. W., King, N. L., Nesvizhskii, A. I., Mallick, P., Eng, J., Chen, S., Eddes, J., Loevenich, S. N., Aebersold, R.2006; 34: D655-D658 
  • A perspective on protein profiling of blood BJU INTERNATIONALKatz, J. E., Mallick, P., Agus, D. B.2005; 96 (4): 477-482 
  • Scoring proteomes with proteotypic peptide probes NATURE REVIEWS MOLECULAR CELL BIOLOGYKuster, B., Schirle, M., Mallick, P., Aebersold, R.2005; 6 (7): 577-583 
  • High throughput quantitative analysis of serum proteins using glycopeptide capture and liquid chromatography mass spectrometry MOLECULAR & CELLULAR PROTEOMICSZhang, H., Yi, E. C., Li, X. J., Mallick, P., Kelly-Spratt, K. S., Masselon, C. D., Camp, D. G., Smith, R. D., Kemp, C. J., Aebersold, R.2005; 4 (2): 144-155 
  • Finding protein domain boundaries: an automated, non-homology-based method IEEE Intelligent SystemsGurbaxani BM, Mallick P2005; Nov-Dec (6): 26-33
  • Integration with the human genome of peptide sequences obtained by high-throughput mass spectrometry GENOME BIOLOGYDesiere, F., Deutsch, E. W., Nesvizhskii, A. I., Mallick, P., King, N. L., Eng, J. K., Aderem, A., Boyle, R., Brunner, E., Donohoe, S., Fausto, N., Hafen, E., Hood, L., Katze, M. G., Kennedy, K. A., Kregenow, F., Lee, H. K., Lin, B. Y., Martin, D., Ranish, J. A., Rawlings, D. J., Samelson, L. E., Shiio, Y., Watts, J. D., Wollscheid, B., Wright, M. E., Yan, W., Yang, L. H., Yi, E. C., Zhang, H., Aebersold, R.2005; 6 (1) 
  • PFIT and PFRIT: Bioinformatic algorithms for detecting glycosidase function from structure and sequence PROTEIN SCIENCEKleiger, G., Panina, E. M., Mallick, P., Eisenberg, D.2004; 13 (1): 221-229 
  • Inference of protein function and protein linkages in Mycobacterium tuberculosis based on prokaryotic genome organization: a combined computational approach GENOME BIOLOGYStrong, M., Mallick, P., Pellegrini, M., Thompson, M. J., Eisenberg, D.2003; 4 (9) 
  • The directional atomic solvation energy: An atom-based potential for the assignment of protein sequences to known folds PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAMallick, P., Weiss, R., Eisenberg, D.2002; 99 (25): 16041-16046 
  • Genomic evidence that the intracellular proteins of archaeal microbes contain disulfide bondsPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAMallick, P., Boutz, D. R., Eisenberg, D., Yeates, T. O.2002; 99 (15): 9679-9684 
  • A modeled hydrophobic domain on the TCL1 oncoprotein mediates association with AKT at the cytoplasmic membrane BIOCHEMISTRYFrench, S. W., Shen, R. R., Koh, P. J., Malone, C. S., Mallick, P., Teitell, M. A.2002; 41 (20): 6376-6382 
  • GXXXG and AXXXA: Common alpha-helical interaction motifs in proteins, particularly in extremophiles BIOCHEMISTRYKleiger, G., Grothe, R., Mallick, P., Eisenberg, D.2002; 41 (19): 5990-5997 
  • Making sense of proteomics: Using bioinformatics to discover a protein's structure, functions and interactions. Proteins and Proteomics: A Laboratory Manual. Cold Spring Harbor Laboratory Press:Parag Mallick, Edward Marcotte2002: Chapter 11
  • The 1.7 angstrom crystal structure of BPI: A study of how two dissimilar amino acid sequences can adopt the same fold JOURNAL OF MOLECULAR BIOLOGYKleiger, G., Beamer, L. J., Grothe, R., Mallick, P., Eisenberg, D.2000; 299 (4): 1019-1034 
  • Selecting protein targets for structural genomics of Pyrobaculum aerophilum: Validating automated fold assignment methods by using binary hypothesis testing PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICAMallick, P., Goodwill, K. E., Fitz-Gibbon, S., Miller, J. H., Eisenberg, D.2000; 97 (6): 2450-2455 
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