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#1Yujia Ying (Guangzhou Higher Education Mega Center)
#2Huilin Li (Guangzhou Higher Education Mega Center)
Abstract Deamidation is a nonenzymatic and spontaneous posttranslational modification (PTM) that introduces changes in both structure and charge of proteins, strongly associated with aging proteome instability and degenerative diseases. Deamidation is also a common PTM occurring in biopharmaceutical proteins, representing a major cause of degradation. Therefore, characterization of deamidation alongside its inter-related modifications, isomerization and racemization, is critically important to u...
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#1Lara Dresser (Ebor: University of York)
#2Patrick Hunter (Ebor: University of York)
Last. Steven D. Quinn (Ebor: University of York)
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Abstract A major hallmark of Alzheimer’s disease is the misfolding and aggregation of the amyloid- β peptide (A β). While early research pointed towards large fibrillar- and plaque-like aggregates as being the most toxic species, recent evidence now implicates small soluble A β oligomers as being orders of magnitude more harmful. Techniques capable of characterizing oligomer stoichiometry and assembly are thus critical for a deeper understanding of the earliest stages of neurodegeneration and fo...
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Abstract In the past decade, a new approach for quantitative analysis of medical images and prognostic modelling has emerged. Defined as the extraction and analysis of a large number of quantitative parameters from medical images, radiomics is an evolving field in precision medicine with the ultimate goal of the discovery of new imaging biomarkers for disease. Radiomics has already shown promising results in extracting diagnostic, prognostic, and molecular information latent in medical images. A...
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#1Dingjie Wang (WHU: Wuhan University)
#2Xiufen Zou (WHU: Wuhan University)
Last. Kin Fai Au (OSU: Ohio State University)H-Index: 16
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Abstract Motivation Alternative splicing makes significant contributions to functional diversity of transcripts and proteins. Many alternatively spliced gene isoforms have been shown to perform specific biological functions under different contexts. In addition to gene-level expression, the advances of high-throughput sequencing offer a chance to estimate isoform-specific exon expression with a high resolution, which is informative for studying splice variants with network analysis. Results In t...
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#1Athanasios Kesidis (Aston University)
#2Peer Depping (Aston University)
Last. Alice Rothnie (Aston University)H-Index: 15
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Abstract The production of membrane proteins of high purity and in satisfactory yields is crucial for biomedical research. Due to their involvement in various cellular processes, membrane proteins have increasingly become some of the most important drug targets in modern times. Therefore, their structural and functional characterization is a high priority. However, protein expression has always been more challenging for membrane proteins than for soluble proteins. In this review, we present four...
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#1Roland G. Huber (Agency for Science, Technology and Research)H-Index: 15
#2Jan K. Marzinek (Agency for Science, Technology and Research)H-Index: 6
Last. Peter J. Bond (Agency for Science, Technology and Research)H-Index: 35
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Abstract Enveloped viruses such as the flaviviruses represent a significant burden to human health around the world, with hundreds of millions of people each year affected by dengue alone. In an effort to improve our understanding of the molecular basis for the infective mechanisms of these viruses, extensive computational modelling approaches have been applied to elucidate their conformational dynamics. Multiscale protocols have been developed to simulate flavivirus envelopes in close accordanc...
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#1Philipp LohmannH-Index: 9
#2Norbert Galldiks (University of Cologne)H-Index: 25
Last. Karl-Josef LangenH-Index: 42
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Abstract Over the last years, the amount, variety, and complexity of neuroimaging data acquired in patients with brain tumors for routine clinical purposes and the resulting number of imaging parameters have substantially increased. Consequently, a timely and cost-effective evaluation of imaging data is hardly feasible without the support of methods from the field of artificial intelligence (AI). AI can facilitate and shorten various time-consuming steps in the image processing workflow, e.g., t...
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#1Michael Bosco (CNRS: Centre national de la recherche scientifique)H-Index: 4
#2Marjorie Damian (CNRS: Centre national de la recherche scientifique)H-Index: 15
Last. Grégory Durand (CNRS: Centre national de la recherche scientifique)H-Index: 21
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Abstract We present herein the synthesis of biotin-functionalized polymers (BNAPols) that have been developed for the fixation of membrane proteins (MPs) onto surfaces. BNAPols were synthesized by free-radical polymerization of a tris(hydroxymethyl)acrylamidomethane (THAM)-derived amphiphilic monomer in the presence of a thiol-based transfer agent with an azido group. Then a Huisgen-cycloaddition reaction was performed with Biotin-(PEG)8-alkyne that resulted in formation of the biotinylated poly...
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#2Sergey Primakov (UM: Maastricht University)H-Index: 1
Last. Roland HustinxH-Index: 44
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Abstract The advancement of artificial intelligence concurrent with the development of medical imaging techniques provided a unique opportunity to turn medical imaging from mostly qualitative, to further quantitative and mineable data that can be explored for the development of clinical decision support systems (cDSS). Radiomics, a method for the high throughput extraction of hand-crafted features from medical images, and deep learning -the data driven modeling techniques based on the principles...
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#1Yang Zhang (HAU: Huazhong Agricultural University)
#2Yang Qiu (HAU: Huazhong Agricultural University)
Last. Wen Zhang (HAU: Huazhong Agricultural University)H-Index: 17
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Abstract Drug-drug interactions (DDIs) are crucial for public health and patient safety, which has aroused widespread concern in academia and industry. The existing computational DDI prediction methods are mainly divided into four categories: literature extraction-based, similarity-based, matrix operations-based and network-based. A number of recent studies have revealed that integrating heterogeneous drug features is of significant importance for developing high-accuracy prediction models. Mean...
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