Title: Virtual screening for small molecule pathway regulators by image profile matching of hits modulating the p38ɑ Discovery of hits impacting PPARGC1A (PGC-1α) overexpression phenotypes
暂无分享,去创建一个
Anne E Carpenter | Ashley M. Fuller | R. Derynck | Steven M. Corsello | Shantanu Singh | T. Schwarz | R. Kafri | M. Rohban | X. Varelas | L. Kiessling | Rik | Jonathan T. Goldstein | A. Gutnick | J. Gale | F. Wagner | M. Doan | Madhura P. Nijsure | J. Boerckel | Jonathan T Goldstein | T. Turbyville | A. Devine | Ceryl Tan | Deepsing Syangtan | Megan Rigby | Grace B. Peppler | Andrew S. Boghossian | Gabrielle E. Ciotti | T. S. Eisinger-Mathason | Joshua R. Sacher | Marta Bogaczyńska | Derynck | S. M. Corsello | M. Rigby
[1] V. Rotter,et al. Visual barcodes for clonal-multiplexing of live microscopy-based assays , 2022, Nature Communications.
[2] U. Sauer,et al. High‐throughput metabolomics predicts drug–target relationships for eukaryotic proteins , 2022, Molecular systems biology.
[3] Anne E Carpenter,et al. Three million images and morphological profiles of cells treated with matched chemical and genetic perturbations , 2022, bioRxiv.
[4] Anne E Carpenter,et al. Predicting compound activity from phenotypic profiles and chemical structures , 2020, bioRxiv.
[5] High-Dimensional Gene Expression and Morphology Profiles of Cells across 28,000 Genetic and Chemical Perturbations , 2021 .
[6] Juan C. Caicedo,et al. Image-based cell phenotyping with deep learning. , 2021, Current opinion in chemical biology.
[7] K. Guan,et al. Small Molecule Inhibitors of TEAD Auto-palmitoylation Selectively Inhibit Proliferation and Tumor Growth of NF2-deficient Mesothelioma , 2021, Molecular Cancer Therapeutics.
[8] John C. Dawson,et al. High-content phenotypic and pathway profiling to advance drug discovery in diseases of unmet need. , 2021, Cell chemical biology.
[9] Andreas Bender,et al. Comparison of Chemical Structure and Cell Morphology Information for Multitask Bioactivity Predictions , 2021, J. Chem. Inf. Model..
[10] N. Knoers,et al. Drug Repurposing for Rare Diseases. , 2021, Trends in pharmacological sciences.
[11] Anne E Carpenter,et al. Image-based profiling for drug discovery: due for a machine-learning upgrade? , 2020, Nature Reviews Drug Discovery.
[12] Jongmin Park,et al. Recent advances in identifying protein targets in drug discovery. , 2020, Cell chemical biology.
[13] Kara Dolinski,et al. The BioGRID database: A comprehensive biomedical resource of curated protein, genetic, and chemical interactions , 2020, Protein science : a publication of the Protein Society.
[14] R. Kafri,et al. Visual Barcodes for Multiplexing Live Microscopy-Based Assays , 2020 .
[15] H. Waldmann,et al. Morphological Profiling Identifies a Common Mode of Action for Small Molecules with Different Targets , 2020, Chembiochem : a European journal of chemical biology.
[16] K. Guan,et al. Targeting the Hippo pathway in cancer, fibrosis, wound healing and regenerative medicine , 2020, Nature Reviews Drug Discovery.
[17] J. Halling,et al. PGC-1α-mediated regulation of mitochondrial function and physiological implications. , 2020, Applied physiology, nutrition, and metabolism = Physiologie appliquee, nutrition et metabolisme.
[18] M. Mckee,et al. Estimated Research and Development Investment Needed to Bring a New Medicine to Market, 2009-2018. , 2020, JAMA.
[19] E. de Nadal,et al. The p38 Pathway: From Biology to Cancer Therapy , 2020, International journal of molecular sciences.
[20] H. Waldmann,et al. Phenotyping Reveals Targets of a Pseudo‐Natural‐Product Autophagy Inhibitor , 2020, Angewandte Chemie.
[21] G. Schneider,et al. Rethinking drug design in the artificial intelligence era , 2019, Nature Reviews Drug Discovery.
[22] Xin Liu,et al. All-Assay-Max2 pQSAR: Activity Predictions as Accurate as Four-Concentration IC50s for 8558 Novartis Assays , 2019, J. Chem. Inf. Model..
[23] A. Lin,et al. Off-target toxicity is a common mechanism of action of cancer drugs undergoing clinical trials , 2019, Science Translational Medicine.
[24] Anne E Carpenter,et al. A High-Content Screen Identifies TPP1 and Aurora B as Regulators of Axonal Mitochondrial Transport , 2019, Cell reports.
[25] Asher Mullard. Machine learning brings cell imaging promises into focus , 2019, Nature Reviews Drug Discovery.
[26] L. Kiessling,et al. Angiomotin Regulates YAP Localization during Neural Differentiation of Human Pluripotent Stem Cells , 2019, Stem cell reports.
[27] Bin Li,et al. Applications of machine learning in drug discovery and development , 2019, Nature Reviews Drug Discovery.
[28] O. Spjuth,et al. Evaluation of Gene Expression and Phenotypic Profiling Data as Quantitative Descriptors for Predicting Drug Targets and Mechanisms of Action , 2019, bioRxiv.
[29] Ewgenij Proschak,et al. Polypharmacology by Design: A Medicinal Chemist's Perspective on Multitargeting Compounds. , 2018, Journal of medicinal chemistry.
[30] Anne E Carpenter,et al. Repurposing High-Throughput Image Assays Enables Biological Activity Prediction for Drug Discovery. , 2018, Cell chemical biology.
[31] Mousheng Xu,et al. YAP1-Mediated Suppression of USP31 Enhances NFκB Activity to Promote Sarcomagenesis. , 2018, Cancer research.
[32] A. Nierenberg,et al. Peroxisome Proliferator-Activated Receptor Gamma Coactivator-1 Alpha as a Novel Target for Bipolar Disorder and Other Neuropsychiatric Disorders , 2018, Biological Psychiatry.
[33] Jen Q. Pan,et al. Exploiting an Asp-Glu “switch” in glycogen synthase kinase 3 to design paralog-selective inhibitors for use in acute myeloid leukemia , 2018, Science Translational Medicine.
[34] Ravi Iyengar,et al. The Library of Integrated Network-Based Cellular Signatures NIH Program: System-Level Cataloging of Human Cells Response to Perturbations. , 2017, Cell systems.
[35] Heiner Koch,et al. The target landscape of clinical kinase drugs , 2017, Science.
[36] Yongbin Wei,et al. Industry Perspective , 2017, IEEE Wirel. Commun..
[37] M. Prunotto,et al. Opportunities and challenges in phenotypic drug discovery: an industry perspective , 2017, Nature Reviews Drug Discovery.
[38] Angela N. Brooks,et al. A Next Generation Connectivity Map: L1000 Platform and the First 1,000,000 Profiles , 2017, Cell.
[39] Rob Patro,et al. Salmon provides fast and bias-aware quantification of transcript expression , 2017, Nature Methods.
[40] Larry Wasserman,et al. Size uniformity of animal cells is actively maintained by a p38 MAPK-dependent regulation of G1-length , 2017, bioRxiv.
[41] Anne E Carpenter,et al. Systematic morphological profiling of human gene and allele function via Cell Painting , 2017, eLife.
[42] Geet Duggal,et al. Salmon: fast and bias-aware quantification of transcript expression using dual-phase inference , 2017, Nature Methods.
[43] Anne E Carpenter,et al. A dataset of images and morphological profiles of 30 000 small-molecule treatments using the Cell Painting assay , 2017, GigaScience.
[44] Ernest Turro,et al. ontologyX: a suite of R packages for working with ontological data , 2016, Bioinform..
[45] Juliann Shih,et al. Genomic Activation of PPARG Reveals a Candidate Therapeutic Axis in Bladder Cancer. , 2017, Cancer research.
[46] P. Puigserver,et al. PGC-1 Coactivators: Shepherding the Mitochondrial Biogenesis of Tumors. , 2016, Trends in cancer.
[47] John Quackenbush,et al. Epigenetic remodeling regulates transcriptional changes between ovarian cancer and benign precursors. , 2016, JCI insight.
[48] Anne E Carpenter,et al. Cell Painting, a high-content image-based assay for morphological profiling using multiplexed fluorescent dyes , 2016, Nature Protocols.
[49] E. Nishida,et al. Src family kinases suppress differentiation of brown adipocytes and browning of white adipocytes , 2016, Genes to cells : devoted to molecular & cellular mechanisms.
[50] Satoshi O. Suzuki,et al. Dysregulated YAP1/TAZ and TGF-β signaling mediate hepatocarcinogenesis in Mob1a/1b-deficient mice , 2015, Proceedings of the National Academy of Sciences.
[51] Sharon Gerecht,et al. Deregulation of the Hippo pathway in soft-tissue sarcoma promotes FOXM1 expression and tumorigenesis , 2015, Proceedings of the National Academy of Sciences.
[52] Károly Héberger,et al. Why is Tanimoto index an appropriate choice for fingerprint-based similarity calculations? , 2015, Journal of Cheminformatics.
[53] Sean P. Palecek,et al. Substratum-induced differentiation of human pluripotent stem cells reveals the coactivator YAP is a potent regulator of neuronal specification , 2014, Proceedings of the National Academy of Sciences.
[54] Anne E Carpenter,et al. Toward performance-diverse small-molecule libraries for cell-based phenotypic screening using multiplexed high-dimensional profiling , 2014, Proceedings of the National Academy of Sciences.
[55] Jacob J. Hughey,et al. High-Sensitivity Measurements of Multiple Kinase Activities in Live Single Cells , 2014, Cell.
[56] Anne E Carpenter,et al. Multiplex Cytological Profiling Assay to Measure Diverse Cellular States , 2013, PloS one.
[57] Joshua M. Stuart,et al. Large-scale cytological profiling for functional analysis of bioactive compounds. , 2013, Molecular bioSystems.
[58] Mark E Bunnage,et al. Target validation using chemical probes. , 2013, Nature chemical biology.
[59] Joshua M. Stuart,et al. "Function-first" lead discovery: mode of action profiling of natural product libraries using image-based screening. , 2013, Chemistry & biology.
[60] H. Osada,et al. Morphobase, an encyclopedic cell morphology database, and its use for drug target identification. , 2012, Chemistry & biology.
[61] Carol A. Mulrooney,et al. Build/couple/pair strategy for the synthesis of stereochemically diverse macrolactams via head-to-tail cyclization. , 2012, ACS combinatorial science.
[62] Mindy I. Davis,et al. Comprehensive analysis of kinase inhibitor selectivity , 2011, Nature Biotechnology.
[63] E. Lawlor,et al. BMI-1 suppresses contact inhibition and stabilizes YAP in Ewing sarcoma , 2011, Oncogene.
[64] Nathan T. Ross,et al. An aldol-based build/couple/pair strategy for the synthesis of medium- and large-sized rings: discovery of macrocyclic histone deacetylase inhibitors. , 2010, Journal of the American Chemical Society.
[65] David Rogers,et al. Extended-Connectivity Fingerprints , 2010, J. Chem. Inf. Model..
[66] M. Barbacid,et al. Genetic analysis of Ras signalling pathways in cell proliferation, migration and survival , 2010, The EMBO journal.
[67] Leah M. Williams,et al. Non-specific in vivo inhibition of CK1 by the pyridinyl imidazole p38 inhibitors SB 203580 and SB 202190. , 2009, BMB reports.
[68] Thomas L Schwarz,et al. Imaging axonal transport of mitochondria. , 2009, Methods in enzymology.
[69] C. Chi,et al. PPAR(gamma)/PGC-1(alpha) pathway in E-cadherin expression and motility of HepG2 cells. , 2009, Anticancer research.
[70] R. Jaenisch,et al. YAP1 Increases Organ Size and Expands Undifferentiated Progenitor Cells , 2007, Current Biology.
[71] Li Li,et al. Inactivation of YAP oncoprotein by the Hippo pathway is involved in cell contact inhibition and tissue growth control. , 2007, Genes & development.
[72] B. Spiegelman,et al. Peroxisome proliferator-activated receptor gamma coactivator 1 coactivators, energy homeostasis, and metabolism. , 2006, Endocrine reviews.
[73] Pablo Tamayo,et al. Gene set enrichment analysis: A knowledge-based approach for interpreting genome-wide expression profiles , 2005, Proceedings of the National Academy of Sciences of the United States of America.
[74] Wilhelm Haas,et al. Nutrient control of glucose homeostasis through a complex of PGC-1α and SIRT1 , 2005, Nature.
[75] Steven P Gygi,et al. Nutrient control of glucose homeostasis through a complex of PGC-1alpha and SIRT1. , 2005, Nature.
[76] Lani F. Wu,et al. Multidimensional Drug Profiling By Automated Microscopy , 2004, Science.
[77] S. Haggarty,et al. Small molecule inhibitor of mitotic spindle bipolarity identified in a phenotype-based screen. , 1999, Science.
[78] E. Bengal,et al. p38 Mitogen-activated Protein Kinase Pathway Promotes Skeletal Muscle Differentiation , 1999, The Journal of Biological Chemistry.
[79] R. Derynck,et al. The tumor suppressor Smad4/DPC4 and transcriptional adaptor CBP/p300 are coactivators for smad3 in TGF-beta-induced transcriptional activation. , 1998, Genes & development.