Intrinsic disorder in PRAME and its role in uveal melanoma
暂无分享,去创建一个
V. Uversky | C. Karp | Mak B Djulbegovic | C. Shields | Guy W. Dayhoff | David J. Taylor | Michael Antonietti
[1] Silvio C. E. Tosatto,et al. InterPro in 2022 , 2022, Nucleic Acids Res..
[2] V. Uversky,et al. Biological soft matter: intrinsically disordered proteins in liquid-liquid phase separation and biomolecular condensates. , 2022, Essays in biochemistry.
[3] M. Vendruscolo,et al. Sequence-based Prediction of the Cellular Toxicity Associated with Amyloid Aggregation within Protein Condensates , 2022, Biochemistry.
[4] V. Uversky,et al. Rapid prediction and analysis of protein intrinsic disorder , 2022, Protein science : a publication of the Protein Society.
[5] H. Nagarajaram,et al. Intrinsically Disordered Proteins: An Overview , 2022, International journal of molecular sciences.
[6] Mak B. Djulbegovic,et al. Intrinsic Disorder in BAP1 and Its Association with Uveal Melanoma , 2022, Genes.
[7] V. Uversky,et al. Aberrant liquid-liquid phase separation and amyloid aggregation of proteins related to neurodegenerative diseases. , 2022, International journal of biological macromolecules.
[8] Anthony M. Cruz,et al. BAP1 Loss Promotes Suppressive Tumor Immune Microenvironment via Upregulation of PROS1 in Class 2 Uveal Melanomas , 2022, Cancers.
[9] V. Uversky,et al. Liquid–liquid phase separation as an organizing principle of intracellular space: overview of the evolution of the cell compartmentalization concept , 2022, Cellular and Molecular Life Sciences.
[10] Shu Li,et al. Plasma and Vitreous Metabolomics Profiling of Proliferative Diabetic Retinopathy , 2022, Investigative ophthalmology & visual science.
[11] D. Hassabis,et al. AlphaFold Protein Structure Database: massively expanding the structural coverage of protein-sequence space with high-accuracy models , 2021, Nucleic Acids Res..
[12] Mak B. Djulbegovic,et al. Structural Protein Analysis of Driver Gene Mutations in Conjunctival Melanoma , 2021, Genes.
[13] M. Vendruscolo,et al. Sequence determinants of the aggregation of proteins within condensates generated by liquid-liquid phase separation. , 2021, Journal of molecular biology.
[14] K. Kavukcuoglu,et al. Highly accurate protein structure prediction for the human proteome , 2021, Nature.
[15] Lukasz Kurgan,et al. flDPnn: Accurate intrinsic disorder prediction with putative propensities of disorder functions , 2021, Nature Communications.
[16] V. Uversky,et al. Liquid-liquid phase separation as a common organizing principle of intracellular space and biomembranes providing dynamic adaptive responses. , 2021, Biochimica et biophysica acta. Molecular cell research.
[17] Oriol Vinyals,et al. Highly accurate protein structure prediction with AlphaFold , 2021, Nature.
[18] Lin Zhou,et al. Emerging Roles of Liquid–Liquid Phase Separation in Cancer: From Protein Aggregation to Immune-Associated Signaling , 2021, Frontiers in Cell and Developmental Biology.
[19] A. Holehouse,et al. metapredict: a fast, accurate, and easy-to-use predictor of consensus disorder and structure , 2021, bioRxiv.
[20] Z. Dosztányi,et al. IUPred3: prediction of protein disorder enhanced with unambiguous experimental annotation and visualization of evolutionary conservation , 2021, Nucleic Acids Res..
[21] J. Shorter,et al. Combating deleterious phase transitions in neurodegenerative disease. , 2021, Biochimica et biophysica acta. Molecular cell research.
[22] A. Hyman,et al. Biomolecular condensates at the nexus of cellular stress, protein aggregation disease and ageing , 2021, Nature Reviews Molecular Cell Biology.
[23] V. Uversky. Recent Developments in the Field of Intrinsically Disordered Proteins: Intrinsic Disorder-Based Emergence in Cellular Biology in Light of the Physiological and Pathological Liquid-Liquid Phase Transitions. , 2021, Annual review of biophysics.
[24] V. Uversky,et al. Liquid–Liquid Phase Separation by Intrinsically Disordered Protein Regions of Viruses: Roles in Viral Life Cycle and Control of Virus–Host Interactions , 2020, International journal of molecular sciences.
[25] M. Vendruscolo,et al. Widespread occurrence of the droplet state of proteins in the human proteome , 2020, Proceedings of the National Academy of Sciences.
[26] Silvio C. E. Tosatto,et al. Critical assessment of protein intrinsic disorder prediction , 2020, Nature Methods.
[27] Zsuzsanna Dosztányi,et al. Analyzing Protein Disorder with IUPred2A , 2020, Current protocols in bioinformatics.
[28] Yaoqi Zhou,et al. SPOT-Disorder2: Improved Protein Intrinsic Disorder Prediction by Ensembled Deep Learning , 2019, Genom. Proteom. Bioinform..
[29] A. Finkelstein,et al. Life in Phases: Intra- and Inter- Molecular Phase Transitions in Protein Solutions , 2019, Biomolecules.
[30] N. Kaciroti,et al. Feasibility of a Real-Time Clinical Augmented Reality and Artificial Intelligence Framework for Pain Detection and Localization From the Brain , 2019, Journal of medical Internet research.
[31] Lukasz Kurgan,et al. Computational Prediction of MoRFs, Short Disorder-to-order Transitioning Protein Binding Regions , 2019, Computational and structural biotechnology journal.
[32] Damian Szklarczyk,et al. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets , 2018, Nucleic Acids Res..
[33] The UniProt Consortium,et al. UniProt: a worldwide hub of protein knowledge , 2018, Nucleic Acids Res..
[34] Nicolas L. Fawzi,et al. Protein Phase Separation: A New Phase in Cell Biology. , 2018, Trends in cell biology.
[35] Zsuzsanna Dosztányi,et al. IUPred2A: context-dependent prediction of protein disorder as a function of redox state and protein binding , 2018, Nucleic Acids Res..
[36] C. Brangwynne,et al. Liquid phase condensation in cell physiology and disease , 2017, Science.
[37] Anthony A. Hyman,et al. Biomolecular condensates: organizers of cellular biochemistry , 2017, Nature Reviews Molecular Cell Biology.
[38] C. Shields,et al. Uveal melanoma: relatively rare but deadly cancer , 2017, Eye.
[39] Sheng Wang,et al. AUCpreD: proteome-level protein disorder prediction by AUC-maximized deep convolutional neural fields , 2016, Bioinform..
[40] J. Wargo,et al. Uveal melanoma: From diagnosis to treatment and the science in between , 2016, Cancer.
[41] Stefan Kurtenbach,et al. PRAME as an Independent Biomarker for Metastasis in Uveal Melanoma , 2016, Clinical Cancer Research.
[42] Julie D Forman-Kay,et al. Modulation of Intrinsically Disordered Protein Function by Post-translational Modifications , 2016, The Journal of Biological Chemistry.
[43] Vladimir N Uversky,et al. Pathological unfoldomics of uncontrolled chaos: intrinsically disordered proteins and human diseases. , 2014, Chemical reviews.
[44] Christopher J. Oldfield,et al. Classification of Intrinsically Disordered Regions and Proteins , 2014, Chemical reviews.
[45] Lukasz A. Kurgan,et al. D2P2: database of disordered protein predictions , 2012, Nucleic Acids Res..
[46] David J. Wilson,et al. Collaborative Ocular Oncology Group report number 1: prospective validation of a multi-gene prognostic assay in uveal melanoma. , 2012, Ophthalmology.
[47] Silvio C. E. Tosatto,et al. ESpritz: accurate and fast prediction of protein disorder , 2012, Bioinform..
[48] Bin Zhang,et al. PhosphoSitePlus: a comprehensive resource for investigating the structure and function of experimentally determined post-translational modifications in man and mouse , 2011, Nucleic Acids Res..
[49] K. Rajagopalan,et al. A majority of the cancer/testis antigens are intrinsically disordered proteins , 2011, Journal of cellular biochemistry.
[50] A. Amir,et al. PRAME-Specific Allo-HLA–Restricted T Cells with Potent Antitumor Reactivity Useful for Therapeutic T-Cell Receptor Gene Transfer , 2011, Clinical Cancer Research.
[51] Robin van der Lee,et al. Intrinsically disordered proteins: regulation and disease. , 2011, Current opinion in structural biology.
[52] A. Bowcock,et al. Frequent Mutation of BAP1 in Metastasizing Uveal Melanomas , 2010, Science.
[53] Cyrus Chothia,et al. SUPERFAMILY 1.75 including a domain-centric gene ontology method , 2010, Nucleic Acids Res..
[54] Roland L. Dunbrack,et al. PONDR-FIT: a meta-predictor of intrinsically disordered amino acids. , 2010, Biochimica et biophysica acta.
[55] A Keith Dunker,et al. Unfoldomics of human diseases: linking protein intrinsic disorder with diseases , 2009, BMC Genomics.
[56] Zsuzsanna Dosztányi,et al. Prediction of Protein Binding Regions in Disordered Proteins , 2009, PLoS Comput. Biol..
[57] Christopher J. Oldfield,et al. Intrinsically disordered proteins in human diseases: introducing the D2 concept. , 2008, Annual review of biophysics.
[58] Vladimir Vacic,et al. Composition Profiler: a tool for discovery and visualization of amino acid composition differences , 2007, BMC Bioinformatics.
[59] Kengo Kinoshita,et al. PrDOS: prediction of disordered protein regions from amino acid sequence , 2007, Nucleic Acids Res..
[60] Zoran Obradovic,et al. Length-dependent prediction of protein intrinsic disorder , 2006, BMC Bioinformatics.
[61] J. Earle,et al. Development of metastatic disease after enrollment in the COMS trials for treatment of choroidal melanoma: Collaborative Ocular Melanoma Study Group Report No. 26. , 2005, Archives of ophthalmology.
[62] R. Bernards,et al. The Human Tumor Antigen PRAME Is a Dominant Repressor of Retinoic Acid Receptor Signaling , 2005, Cell.
[63] Zsuzsanna Dosztányi,et al. IUPred: web server for the prediction of intrinsically unstructured regions of proteins based on estimated energy content , 2005, Bioinform..
[64] Zoran Obradovic,et al. Optimizing Long Intrinsic Disorder Predictors with Protein Evolutionary Information , 2005, J. Bioinform. Comput. Biol..
[65] Justis P. Ehlers,et al. Gene Expression Profiling in Uveal Melanoma Reveals Two Molecular Classes and Predicts Metastatic Death , 2004, Cancer Research.
[66] P. Coulie,et al. Characterization of an antigen that is recognized on a melanoma showing partial HLA loss by CTL expressing an NK inhibitory receptor. , 1997, Immunity.
[67] A G Murzin,et al. SCOP: a structural classification of proteins database for the investigation of sequences and structures. , 1995, Journal of molecular biology.
[68] OUP accepted manuscript , 2021, Nucleic Acids Research.
[69] V. Uversky. Protein intrinsic disorder and structure-function continuum. , 2019, Progress in molecular biology and translational science.
[70] Lukasz Kurgan,et al. Exceptionally abundant exceptions: comprehensive characterization of intrinsic disorder in all domains of life , 2014, Cellular and Molecular Life Sciences.
[71] Tim J. P. Hubbard,et al. SCOP database in 2004: refinements integrate structure and sequence family data , 2004, Nucleic Acids Res..
[72] Hilde van der Togt,et al. Publisher's Note , 2003, J. Netw. Comput. Appl..
[73] P. Romero,et al. Sequence complexity of disordered protein , 2001, Proteins.