New Results
A computational framework to identify metabolic engineering strategies for the co-production of metabolites
Lavanya Raajaraam, View ORCID ProfileKarthik Raman
doi: https://doi.org/10.1101/2021.09.18.460904
Lavanya Raajaraam
1Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, Indian Institute of Technology (IIT) Madras, Chennai – 600 036, INDIA
2Centre for Integrative Biology and Systems Medicine (IBSE), IIT Madras, Chennai – 600 036, INDIA
3Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai – 600 036, INDIA
Karthik Raman
1Bhupat and Jyoti Mehta School of Biosciences, Department of Biotechnology, Indian Institute of Technology (IIT) Madras, Chennai – 600 036, INDIA
2Centre for Integrative Biology and Systems Medicine (IBSE), IIT Madras, Chennai – 600 036, INDIA
3Robert Bosch Centre for Data Science and Artificial Intelligence (RBCDSAI), IIT Madras, Chennai – 600 036, INDIA
Posted October 03, 2021.
A computational framework to identify metabolic engineering strategies for the co-production of metabolites
Lavanya Raajaraam, Karthik Raman
bioRxiv 2021.09.18.460904; doi: https://doi.org/10.1101/2021.09.18.460904
Subject Area
Subject Areas
- Biochemistry (7316)
- Bioengineering (5294)
- Bioinformatics (20189)
- Biophysics (9972)
- Cancer Biology (7698)
- Cell Biology (11243)
- Clinical Trials (138)
- Developmental Biology (6416)
- Ecology (9912)
- Epidemiology (2065)
- Evolutionary Biology (13271)
- Genetics (9347)
- Genomics (12544)
- Immunology (7667)
- Microbiology (18928)
- Molecular Biology (7415)
- Neuroscience (40870)
- Paleontology (298)
- Pathology (1226)
- Pharmacology and Toxicology (2125)
- Physiology (3138)
- Plant Biology (6836)
- Synthetic Biology (1891)
- Systems Biology (5295)
- Zoology (1083)