Redox poise in R. rubrum phototrophic growth drives large-scale changes in macromolecular pathways.
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- PLoS Computational Biology, 2025, v. 21, n. 6, p. 1, doi. 10.1371/journal.pcbi.1013015
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- Article
Works matching AU Cannon, William R.
Results: 13
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An approach to learn regulation to maximize growth and entropy production rates in metabolism.
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- Frontiers in Systems Biology, 2023, v. 3, p. 1, doi. 10.3389/fsysb.2023.981866
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- Publication type:
- Article
3
MapReduce implementation of a hybrid spectral library-database search method for large-scale peptide identification.
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- Bioinformatics, 2011, v. 27, n. 21, p. 3072, doi. 10.1093/bioinformatics/btr523
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- Publication type:
- Article
4
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics.
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- Bioinformatics, 2010, v. 26, n. 13, p. 1677, doi. 10.1093/bioinformatics/btq251
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- Publication type:
- Article
5
A support vector machine model for the prediction of proteotypic peptides for accurate mass and time proteomics.
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- Bioinformatics, 2008, v. 24, n. 13, p. 1503, doi. 10.1093/bioinformatics/btn218
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- Article
6
Improved peptide sequencing using isotope information inherent in tandem mass spectra.
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- Rapid Communications in Mass Spectrometry: RCM, 2003, v. 17, n. 15, p. 1793, doi. 10.1002/rcm.1119
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- Article
7
Sequence optimization as an alternative to de novo analysis of tandem mass spectrometry data.
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- Bioinformatics, 2004, v. 20, n. 14, p. 2296, doi. 10.1093/bioinformatics/bth242
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- Publication type:
- Article
8
Simulating Metabolism with Statistical Thermodynamics.
- Published in:
- PLoS ONE, 2014, v. 9, n. 8, p. 1, doi. 10.1371/journal.pone.0103582
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- Article
9
Integrating machine learning and multiscale modeling—perspectives, challenges, and opportunities in the biological, biomedical, and behavioral sciences.
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- NPJ Digital Medicine, 2019, v. 2, n. 1, p. N.PAG, doi. 10.1038/s41746-019-0193-y
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- Article
10
BMX: Biological modelling and interface exchange.
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- Scientific Reports, 2023, v. 13, n. 1, p. 1, doi. 10.1038/s41598-023-39150-1
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- Article
11
Multiscale Modeling Meets Machine Learning: What Can We Learn?
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- Archives of Computational Methods in Engineering, 2021, v. 28, n. 3, p. 1017, doi. 10.1007/s11831-020-09405-5
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- Article
12
Current trends in computational inference from mass spectrometry- based proteomics.
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- Briefings in Bioinformatics, 2007, v. 8, n. 5, p. 304, doi. 10.1093/bib/bbm023
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- Article
13
Prediction of Metabolite Concentrations, Rate Constants and Post-Translational Regulation Using Maximum Entropy-Based Simulations with Application to Central Metabolism of Neurospora crassa.
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- Processes, 2018, v. 6, n. 6, p. 63, doi. 10.3390/pr6060063
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- Article