Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry حسب Wei Liu (20030)

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Unraveling of Phosphotyrosine Signaling Complexes Associated with T Cell Exhaustion Using Multiplex Co-Fractionation/Mass Spectrometry حسب Wei Liu (20030)

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Comparison between the proposed framework with and without Fourier Loss Function for Rain100H. حسب Chaobing Zheng (20896579)

Supplemental files to the study "Limitations of Current Machine-Learning Models in Predicting Enzymatic Functions for Uncharacterized Proteins" حسب Valerie de Crecy-Lagard (12823436)

"…<p dir="ltr">Thirty to seventy percent of proteins in any given genome have no assigned function and have been labeled as the protein “unknome”. …"

Supplemental Tables S1 and S2 for Combining structural modeling and deep learning to calculate the E. coli protein interactome and functional networks حسب Diana Murray (16859046)

"…Biological insights derived from the subnetworks, including the annotation of proteins of unknown function, are discussed in detail. …"

Expression levels of spinal cord proteins in each group of rats. حسب Yufeng He (5673119)

Python code for a rule-based NLP model for mapping circular economy indicators to SDGs حسب Zahir Barahmand (18008947)

"…The package includes:</p><ul><li>The complete Python codebase implementing the classification algorithm</li><li>A detailed manual outlining model features, requirements, and usage instructions</li><li>Sample input CSV files and corresponding processed output files to demonstrate functionality</li><li>Keyword dictionaries for all 17 SDGs, distinguishing strong and weak matches</li></ul><p dir="ltr">These materials enable full reproducibility of the study, facilitate adaptation for related research, and offer transparency in the methodological framework.…"

Multimodal reference functions. حسب Ruiyu Zhan (21602031)

"…We performed comparative analyses against other methodologies across various functions and public datasets to assess their effectiveness. …"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

MGVB: a New Proteomics Toolset for Fast and Efficient Data Analysis حسب Metodi V. Metodiev (6089009)

الموضوعات: "…probabilistic scoring function…"

Statistical properties of high-flash-rate (≥500 lightning strokes) grid clusters identified in 2013 within the study region: (A) Spatial distribution of cluster centroids; (B, C) P... حسب Manxing Shi (22367181)

WCST scores and protein expression levels. حسب Chen Chen (6544)

"…This study investigated the association between serum protein expression profiles and cognitive variability in a healthy Thai population using machine learning algorithms. …"

PATH⁺ explains tighter binding of carbonic anhydrase II by brinzolamide. حسب Yuxi Long (11024307)

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An overview of PATH⁺. حسب Yuxi Long (11024307)

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The 10 features captured by persistence fingerprint. حسب Yuxi Long (11024307)

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^aTwo HIV-1 protease mutants bound to inhibitor darunavir (G48V: PDB ID 3cyw [81] & L90M: PDB ID 2f81 [82]). حسب Yuxi Long (11024307)

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PATH⁺ correctly predicted a weaker binding affinity for HIV-1 protease with the drug-resistant G48V mutation (right, experimental kcal/mol, PDB ID: 3cyw [81]) bound to d... حسب Yuxi Long (11024307)

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