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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/275764a868f3139eb9732353dba44bea0/testusersimtech",         
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         "label" : "The reduction behavior of sulfurized polyacrylonitrile (SPAN) in lithium\u2013sulfur batteries using a carbonate electrolyte: a computational study",
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         "year": "2024", 
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         "author": [ 
            "S. V. Klostermann","J. Kappler","A. Waigum","M. R. Buchmeiser","A. Köhn","J. Kästner"
         ],
         "authors": [
         	
            	{"first" : "S. V.",	"last" : "Klostermann"},
            	{"first" : "J.",	"last" : "Kappler"},
            	{"first" : "A.",	"last" : "Waigum"},
            	{"first" : "M. R.",	"last" : "Buchmeiser"},
            	{"first" : "A.",	"last" : "Köhn"},
            	{"first" : "J.",	"last" : "Kästner"}
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         "volume": "26","pages": "9998-10007",
         "doi" : "10.1039/D3CP06248A",
         
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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/2c0203b229f9524f712d15ffbe47db0b0/testusersimtech",         
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         "intraHash" : "c0203b229f9524f712d15ffbe47db0b0",
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         "label" : "Real-time Human Response Prediction Using a Non-intrusive Data-driven Model Reduction Scheme",
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         "url": "https://doi.org/10.1016%2Fj.ifacol.2022.09.109", 
         
         "author": [ 
            "J. Kneifl","J. Hay","J. Fehr"
         ],
         "authors": [
         	
            	{"first" : "J.",	"last" : "Kneifl"},
            	{"first" : "J.",	"last" : "Hay"},
            	{"first" : "J.",	"last" : "Fehr"}
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         "volume": "55","number": "20","pages": "283--288","note": "preprint: https://arxiv.org/abs/2110.13583",
         "doi" : "10.1016/j.ifacol.2022.09.109",
         
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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/28da203b6974ed564e652588fd606d8e6/testusersimtech",         
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            "EXC2075","PN2","PN2-5","slected"
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         "intraHash" : "8da203b6974ed564e652588fd606d8e6",
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         "label" : "The T1150A cancer mutant of the protein lysine dimethyltransferase NSD2 can introduce H3K36 trimethylation",
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         "description" : "",
         "date" : "2024-08-09 07:49:09",
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         "url": "https://www.sciencedirect.com/science/article/pii/S0021925823018240", 
         
         "author": [ 
            "Mina S. Khella","Philipp Schnee","Sara Weirich","Tan Bui","Alexander Bröhm","Pavel Bashtrykov","Jürgen Pleiss","Albert Jeltsch"
         ],
         "authors": [
         	
            	{"first" : "Mina S.",	"last" : "Khella"},
            	{"first" : "Philipp",	"last" : "Schnee"},
            	{"first" : "Sara",	"last" : "Weirich"},
            	{"first" : "Tan",	"last" : "Bui"},
            	{"first" : "Alexander",	"last" : "Bröhm"},
            	{"first" : "Pavel",	"last" : "Bashtrykov"},
            	{"first" : "Jürgen",	"last" : "Pleiss"},
            	{"first" : "Albert",	"last" : "Jeltsch"}
         ],
         "volume": "299","number": "6","pages": "104796--","abstract": "Protein lysine methyltransferases (PKMTs) play essential roles in gene expression regulation and cancer development. Somatic mutations in PKMTs are frequently observed in cancer cells. In biochemical experiments, we show here that the NSD1 mutations Y1971C, R2017Q, and R2017L observed mostly in solid cancers are catalytically inactive suggesting that NSD1 acts as a tumor suppressor gene in these tumors. In contrast, the frequently observed T1150A in NSD2 and its T2029A counterpart in NSD1, both observed in leukemia, are hyperactive and introduce up to three methyl groups in H3K36 in biochemical and cellular assays, while wildtype NSD2 and NSD1 only introduce up to two methyl groups. In Molecular Dynamics simulations, we determined key mechanistic and structural features controlling the product specificity of this class of enzymes. Simulations with NSD2 revealed that H3K36me3 formation is possible due to an enlarged active site pocket of T1150A and loss of direct contacts of T1150 to critical residues which regulate the product specificity of NSD2. Bioinformatic analyses of published data suggested that the generation of H3K36me3 by NSD2 T1150A could alter gene regulation by antagonizing H3K27me3 finally leading to the upregulation of oncogenes.",
         "orcid" : "0000-0003-1045-8202",
         
         "issn" : "00219258",
         
         "doi" : "https://doi.org/10.1016/j.jbc.2023.104796",
         
         "bibtexKey": "khella2023t1150a"

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         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/287f3a38e8d43c2711bff361e7c7e8a59/testusersimtech",         
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         "label" : "S4: Self-Supervised learning of Spatiotemporal Similarity",
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         "journal": "IEEE Transactions on Visualization and Computer Graphics",
         "year": "2021", 
         "url": "", 
         
         "author": [ 
            "Gleb Tkachev","Steffen Frey","Thomas Ertl"
         ],
         "authors": [
         	
            	{"first" : "Gleb",	"last" : "Tkachev"},
            	{"first" : "Steffen",	"last" : "Frey"},
            	{"first" : "Thomas",	"last" : "Ertl"}
         ],
         "abstract": "We introduce an ML-driven approach that enables interactive example-based queries for similar behavior in ensembles of spatiotemporal scientific data. This addresses an important use case in the visual exploration of simulation and experimental data, where data is often large, unlabeled and has no meaningful similarity measures available. We exploit the fact that nearby locations often exhibit similar behavior and train a Siamese Neural Network in a self-supervised fashion, learning an expressive latent space for spatiotemporal behavior. This space can be used to find similar behavior with just a few user-provided examples. We evaluate this approach on several ensemble datasets and compare with multiple existing methods, showing both qualitative and quantitative results.",
         "isbn" : "10.1109/TVCG.2021.3101418",
         
         "bibtexKey": "tkachev2021selfsupervised"

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         "type" : "Publication",
         "id"   : "https://puma.ub.uni-stuttgart.de/bibtex/203c00fc6353384ba89e15455ba36bf4a/testusersimtech",         
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         "intraHash" : "03c00fc6353384ba89e15455ba36bf4a",
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         "label" : "Probing Self-Diffusion of Guest Molecules in a Covalent Organic Framework: Simulation and Experiment",
         "user" : "testusersimtech",
         "description" : "",
         "date" : "2024-07-19 15:07:18",
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         "pub-type": "article",
         "journal": "ACS Nano","publisher":"American Chemical Society (ACS)",
         "year": "2024", 
         "url": "http://dx.doi.org/10.1021/acsnano.3c12167", 
         
         "author": [ 
            "Lars Grunenberg","Christopher Keßler","Tiong Wei Teh","Robin Schuldt","Fabian Heck","Johannes Kästner","Joachim Groß","Niels Hansen","Bettina V. Lotsch"
         ],
         "authors": [
         	
            	{"first" : "Lars",	"last" : "Grunenberg"},
            	{"first" : "Christopher",	"last" : "Keßler"},
            	{"first" : "Tiong Wei",	"last" : "Teh"},
            	{"first" : "Robin",	"last" : "Schuldt"},
            	{"first" : "Fabian",	"last" : "Heck"},
            	{"first" : "Johannes",	"last" : "Kästner"},
            	{"first" : "Joachim",	"last" : "Groß"},
            	{"first" : "Niels",	"last" : "Hansen"},
            	{"first" : "Bettina V.",	"last" : "Lotsch"}
         ],
         "volume": "18","number": "25","pages": "16091\u201316100",
         "issn" : "1936-086X",
         
         "doi" : "10.1021/acsnano.3c12167",
         
         "bibtexKey": "Grunenberg_2024"

      }
	  
   ]
}
