Thea Norman
A5070538149- Cancer Genomics and Diagnostics
- Computational Drug Discovery Methods
- Genomics and Rare Diseases
- Bioinformatics and Genomic Networks
- Genetics, Bioinformatics, and Biomedical Research
- Child Nutrition and Water Access
- Ethics in Clinical Research
- Health Systems, Economic Evaluations, Quality of Life
- Gene expression and cancer classification
- Child Nutrition and Feeding Issues
- Poverty, Education, and Child Welfare
- Radiomics and Machine Learning in Medical Imaging
- Meta-analysis and systematic reviews
- Global Maternal and Child Health
- Biochemical and Molecular Research
- Multiple Myeloma Research and Treatments
- Statistical Methods in Clinical Trials
- RNA modifications and cancer
- Long-Term Effects of COVID-19
- Prostate Cancer Treatment and Research
- Chemical Synthesis and Analysis
- Synthetic Organic Chemistry Methods
- Gene Regulatory Network Analysis
- Neurogenetic and Muscular Disorders Research
- BRCA gene mutations in cancer
Gates Foundation
2019-2024
Global Open University
2024
Sage Bionetworks
2013-2021
Seattle University
2017
AstraZeneca (United States)
2017
University of Utah
2017
University of Turku
2017
Åbo Akademi University
2017
The University of Texas Southwestern Medical Center
2017
Turku Centre for Biotechnology
2017
Selective protein kinase inhibitors were developed on the basis of unexpected binding mode 2,6,9-trisubstituted purines to adenosine triphosphate–binding site human cyclin-dependent 2 (CDK2). By iterating chemical library synthesis and biological screening, potent CDK2–cyclin A complex Saccharomyces cerevisiae Cdc28p identified. The structural for affinity selectivity was determined by analysis a three-dimensional crystal structure CDK2-inhibitor complex. cellular effects these compounds...
<h3>Importance</h3> Mammography screening currently relies on subjective human interpretation. Artificial intelligence (AI) advances could be used to increase mammography accuracy by reducing missed cancers and false positives. <h3>Objective</h3> To evaluate whether AI can overcome interpretation limitations with a rigorous, unbiased evaluation of machine learning algorithms. <h3>Design, Setting, Participants</h3> In this diagnostic study conducted between September 2016 November 2017, an...
The first report of the ICGC-TCGA DREAM Somatic Mutation Calling Challenge introduces BAMSurgeon tool for accurate tumor simulation and reports performance 248 submissions in calling single-nucleotide variants from three pairs synthetic tumor–normal genome benchmarks. detection somatic mutations cancer sequences is key to understanding genetic basis disease progression, patient survival response therapy. Benchmarking needed assessment improvement but complicated by a lack gold standards,...
It remains unclear whether causal, rather than merely correlational, relationships in molecular networks can be inferred complex biological settings. Here we describe the HPN-DREAM network inference challenge, which focused on learning causal influences signaling networks. We used phosphoprotein data from cancer cell lines as well silico a nonlinear dynamical model. Using data, scored more 2,000 submitted by challenge participants. The spanned 32 contexts and were terms of validity with...
Sustainable Development Goal 2.2-to end malnutrition by 2030-includes the elimination of child wasting, defined as a weight-for-length z-score that is more than two standard deviations below median World Health Organization standards for growth
Globally, 149 million children under 5 years of age are estimated to be stunted (length more than 2 standard deviations below international growth standards)
Abstract Growth faltering in children (low length for age or low weight length) during the first 1,000 days of life (from conception to 2 years age) influences short-term and long-term health survival 1,2 . Interventions such as nutritional supplementation pregnancy postnatal period could help prevent growth faltering, but programmatic action has been insufficient eliminate high burden stunting wasting low- middle-income countries. Identification windows population subgroups on which focus...
The ribosomal incorporation of nonnative amino acids into polypeptides in living cells provides the opportunity to endow therapeutic proteins with unique pharmacological properties. We report here first clinical study a biosynthetic protein produced using an expanded genetic code. Incorporation p -acetylphenylalanine (pAcF) at distinct locations human growth hormone (hGH) allowed site-specific conjugation polyethylene glycol (PEG) produce homogeneous hGH variants. A mono-PEGylated mutant...
Fibroblast growth factor 21 (FGF21) mitigates many of the pathogenic features type 2 diabetes, despite a short circulating half-life. PEGylation is proven approach to prolonging duration action while enhancing biophysical solubility and stability. However, in absence specific protein site, chemical conjugation inherently heterogeneous commonly leads dramatic loss bioactivity. This work illustrates novel means PEGylation, producing FGF21 analogs with high activity salutary biological...
Although molecular prognostics in breast cancer are among the most successful examples of translating genomic analysis to clinical applications, optimal approaches risk prediction remain controversial. The Sage Bionetworks-DREAM Breast Cancer Prognosis Challenge (BCC) is a crowdsourced research study for prognostic modeling using genome-scale data. BCC provided community data analysts with common platform access and blinded evaluation model accuracy predicting survival on basis gene...
When it becomes completely possible for one to computationally forecast the impacts of harmful substances on humans, would be easier attempt addressing shortcomings existing safety testing chemicals. In this paper, we relay outcomes a community-facing DREAM contest prognosticate nature environment-based compounds, considering their likelihood have disadvantageous health-related effects human populace. Our research quantified cytotoxicity levels in 156 compounds across 884 lymphoblastic lines...
Genetic selections were used to find peptides that inhibit biological pathways in budding yeast. The presented inside cells as peptamers, surface loops on a highly expressed and biologically inert carrier protein, catalytically inactive derivative of staphylococcal nuclease. Peptamers inhibited the pheromone signaling pathway, transcriptional silencing, spindle checkpoint isolated. Putative targets for inhibitors identified by combination two-hybrid analysis genetic dissection target...
The activity of cyclin-dependent kinase 2 (CDK2) is essential for progression cells from G1 to the S phase mammalian cell cycle. CVT-313 a potent CDK2 inhibitor, which was identified purine analog library with an IC50 0.5 μm in vitro. Inhibition competitive respect ATP (K i = 95 nm), and selective had no effect on other, nonrelated ATP-dependent serine/threonine kinases. When added CDK1 or CDK4, 8.5- 430-fold higher concentration required half-maximal inhibition enzyme activity. In exposed...
ADVERTISEMENT RETURN TO ISSUEPREVCommunicationNEXTA Structure-Based Library Approach to Kinase InhibitorsThea C. Norman, Nathanael S. Gray, John T. Koh, and Peter G. SchultzView Author Information Howard Hughes Medical Institute Department of Chemistry University California Berkeley, 94720 Cite this: J. Am. Chem. Soc. 1996, 118, 31, 7430–7431Publication Date (Web):August 7, 1996Publication History Received6 May 1996Published online7 August inissue 1 January...
Rheumatoid arthritis (RA) affects millions world-wide. While anti-TNF treatment is widely used to reduce disease progression, fails in ∼one-third of patients. No biomarker currently exists that identifies non-responders before treatment. A rigorous community-based assessment the utility SNP data for predicting efficacy RA patients was performed context a DREAM Challenge (http://www.synapse.org/RA_Challenge). An open challenge framework enabled comparative evaluation predictions developed by...
The development of new affordable sensors, and the ability to log high-resolution data for long periods time can potentially revolutionize environmental sciences. Collecting spatiotemporal requires sensor grids that are often costly not necessarily modular enough fit a specific experimental objective. These limiting factors be solved using open-source hardware. In our Open Digital Environmental Lab, we develop integrate complex arrays into research simultaneously measure multiple parameters,...
Amyotrophic lateral sclerosis (ALS) is a fatal neurodegenerative disease where substantial heterogeneity in clinical presentation urgently requires better stratification of patients for the development drug trials and care. In this study we explored through crowdsourcing approach, DREAM Prize4Life ALS Stratification Challenge. Using data from >10,000 1479 community-based patient registers, more than 30 teams developed new approaches machine learning clustering, outperforming best current...
The phenotypes of cancer cells are driven in part by somatic structural variants. Structural variants can initiate tumors, enhance their aggressiveness, and provide unique therapeutic opportunities. Whole-genome sequencing tumors allow exhaustive identification the specific present an individual cancer, facilitating both clinical diagnostics discovery novel mutagenic mechanisms. A plethora variant detection algorithms have been created to enable these discoveries; however, there no...