Modeling Clinical Phenotype Variability: Consideration of Genomic Variations, Computational Methods, and Quantitative Proteomics-Reference-Cited by-同舟云学术

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Modeling Clinical Phenotype Variability: Consideration of Genomic Variations, Computational Methods, and Quantitative Proteomics

Published:2023-04 Issue:4 Volume:112 Page:904-908
ISSN:0022-3549
Container-title:Journal of Pharmaceutical Sciences
language:en
Short-container-title:Journal of Pharmaceutical Sciences

Author:

Bai Jane P.F.,Yu Li-Rong

Publisher

Elsevier BV

Subject

Pharmaceutical Science

Reference60 articles.

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2. The impact of genomic variation on protein phosphorylation states and regulatory networks;Grossbach;Mol Syst Biol,2022

3. Quantitative phosphoproteomics by mass spectrometry: past, present, and future;Nita-Lazar;Proteomics,2008

4. A six-stage workflow for robust application of systems pharmacology;Gadkar;CPT Pharmacometrics Syst Pharmacol,2016

5. QSP toolbox: computational implementation of integrated workflow components for deploying multi-scale mechanistic models;Cheng;AAPS J,2017

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Machine Learning of Three-Dimensional Protein Structures to Predict the Functional Impacts of Genome Variation;Journal of Chemical Information and Modeling;2024-04-18

2. Machine learning of three-dimensional protein structures to predict the functional impacts of genome variation;2023-10-28

3. Unraveling Psychedelic Responses: Targeted Protein Degradation and Genetic Diversity;ACS Medicinal Chemistry Letters;2023-07-11

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