Showing 401 - 420 results of 952 for search '"Proteomics"', query time: 0.05s Refine Results
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    A computational tool to infer enzyme activity using post-translational modification profiling data by Dehui Kong, Aijun Zhang, Ling Li, Zuo-Fei Yuan, Yingxue Fu, Long Wu, Ashutosh Mishra, Anthony A. High, Junmin Peng, Xusheng Wang

    Published 2025-01-01
    “…Despite their crucial roles, measuring enzyme activities is typically indirect and performed on a smaller scale, unlike protein abundance measured by high-throughput proteomics. Moreover, it is challenging to derive the activity of enzymes from proteome-wide post-translational modification (PTM) profiling data. …”
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    Article
  4. 404

    π-PrimeNovo: an accurate and efficient non-autoregressive deep learning model for de novo peptide sequencing by Xiang Zhang, Tianze Ling, Zhi Jin, Sheng Xu, Zhiqiang Gao, Boyan Sun, Zijie Qiu, Jiaqi Wei, Nanqing Dong, Guangshuai Wang, Guibin Wang, Leyuan Li, Muhammad Abdul-Mageed, Laks V. S. Lakshmanan, Fuchu He, Wanli Ouyang, Cheng Chang, Siqi Sun

    Published 2025-01-01
    “…Abstract Peptide sequencing via tandem mass spectrometry (MS/MS) is essential in proteomics. Unlike traditional database searches, deep learning excels at de novo peptide sequencing, even for peptides missing from existing databases. …”
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  5. 405

    Post-Translational Modifications of Proteins Orchestrate All Hallmarks of Cancer by Pathea Shawnae Bruno, Aneeta Arshad, Maria-Raluca Gogu, Natalie Waterman, Rylie Flack, Kimberly Dunn, Costel C. Darie, Anca-Narcisa Neagu

    Published 2025-01-01
    “…Aberrant PTMs can be considered as enabling characteristics of cancer as long as they orchestrate all malignant modifications and variability in the proteome of cancer cells, cancer-associated cells, and tumor microenvironment (TME). …”
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    Article
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    Proteogenomic Analysis Reveals Proteins Involved in the First Step of Adipogenesis in Human Adipose-Derived Stem Cells by Bernardo Bonilauri, Amanda C. Camillo-Andrade, Marlon D. M. Santos, Juliana de S. da G. Fischer, Paulo C. Carvalho, Bruno Dallagiovanna

    Published 2021-01-01
    “…Cells were cultured for 24 hours in adipogenic differentiation medium followed by protein extraction. We used shotgun proteomics to compare the proteomic profile of 24 h-adipogenic, differentiated, and undifferentiated hASC. …”
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    Gas-phase fractionation DDA promotes in-depth DIA phosphoproteome analysis by Zhiwei Tu, Yabin Li, Shuhui Ji, Shanshan Wang, Rui Zhou, Gertjan Kramer, Yu Cui, Fei Xie

    Published 2025-01-01
    “…Data-independent acquisition (DIA) is a promising method for quantitative proteomics. Library-based DIA database searching against project-specific data-dependent acquisition (DDA) spectral libraries is the gold standard. …”
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    Techniques for Molecular Imaging Probe Design by Fred Reynolds, Kimberly A. Kelly

    Published 2011-11-01
    “…With advances in genomics and proteomics and underlying mechanisms of disease pathology, the number of targets identified has significantly outpaced the number of developed molecular imaging probes. …”
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    Hyperosmotic Stress Induces a Specific Pattern for Stress Granule Formation in Human-Induced Pluripotent Stem Cells by Salam Salloum-Asfar, Rudolf Engelke, Hanaa Mousa, Neha Goswami, I. Richard Thompson, Freshteh Palangi, Kamal Kamal, Muna N. Al-Noubi, Frank Schmidt, Sara A. Abdulla, Mohamed M. Emara

    Published 2021-01-01
    “…In addition, a comprehensive proteomics analysis was performed to identify proteins involved in regulating this specific pattern of hyperosmotic SG formation in hiPSCs/IMR90-1. …”
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    Gene Identification and Characterization of Correlations for DEPs_DEGs Same Trend Responding to Salinity Adaptation in Scylla paramamosain by Huan Wang, Hongling Wei, Lei Tang, Junkai Lu, Changkao Mu, Chunlin Wang

    Published 2019-01-01
    “…In our previous study, we had analyzed the mechanism of adapting sudden drop in salinity from the level of transcriptomics and proteomics, respectively. This study performed a correlation analysis of RNA sequencing transcriptomics and iTRAQ proteomics in order to investigate the adaptation mechanisms to sudden salinity drop from 23‰ to 3‰. …”
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