• Reference Citation Analysis
  • v
  • v
  • Find an Article
Find an Article PDF (4657933)   Today's Articles (1293)   Subscriber (51271)
For: Oyetunde T, Bao FS, Chen JW, Martin HG, Tang YJ. Leveraging knowledge engineering and machine learning for microbial bio-manufacturing. Biotechnol Adv 2018;36:1308-1315. [DOI: 10.1016/j.biotechadv.2018.04.008] [Citation(s) in RCA: 42] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2017] [Revised: 02/27/2018] [Accepted: 04/26/2018] [Indexed: 12/21/2022]
Number Cited by Other Article(s)
1
Zheng W, Wang Y, Cui J, Guo G, Li Y, Hou J, Tu Q, Yin Y, Stewart F, Zhang Y, Bian X, Wang X. ReaL-MGE is a tool for enhanced multiplex genome engineering and application to malonyl-CoA anabolism. Nat Commun 2024;15:9790. [PMID: 39532871 PMCID: PMC11557832 DOI: 10.1038/s41467-024-54191-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Accepted: 11/01/2024] [Indexed: 11/16/2024]  Open
2
Jin J, Wu Y, Cao P, Zheng X, Zhang Q, Chen Y. Potential and challenge in accelerating high-value conversion of CO2 in microbial electrosynthesis system via data-driven approach. BIORESOURCE TECHNOLOGY 2024;412:131380. [PMID: 39214179 DOI: 10.1016/j.biortech.2024.131380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2024] [Revised: 08/26/2024] [Accepted: 08/27/2024] [Indexed: 09/04/2024]
3
Sripada SA, Hosseini M, Ramesh S, Wang J, Ritola K, Menegatti S, Daniele MA. Advances and opportunities in process analytical technologies for viral vector manufacturing. Biotechnol Adv 2024;74:108391. [PMID: 38848795 DOI: 10.1016/j.biotechadv.2024.108391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2023] [Revised: 03/14/2024] [Accepted: 05/29/2024] [Indexed: 06/09/2024]
4
Kundu P, Beura S, Mondal S, Das AK, Ghosh A. Machine learning for the advancement of genome-scale metabolic modeling. Biotechnol Adv 2024;74:108400. [PMID: 38944218 DOI: 10.1016/j.biotechadv.2024.108400] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 05/13/2024] [Accepted: 06/23/2024] [Indexed: 07/01/2024]
5
Kong Y, Chen H, Huang X, Chang L, Yang B, Chen W. Precise metabolic modeling in post-omics era: accomplishments and perspectives. Crit Rev Biotechnol 2024:1-19. [PMID: 39198033 DOI: 10.1080/07388551.2024.2390089] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Revised: 07/18/2024] [Accepted: 07/23/2024] [Indexed: 09/01/2024]
6
Ahmad Z, Shareen, Ganie IB, Firdaus F, Ramakrishnan M, Shahzad A, Ding Y. Enhancing Withanolide Production in the Withania Species: Advances in In Vitro Culture and Synthetic Biology Approaches. PLANTS (BASEL, SWITZERLAND) 2024;13:2171. [PMID: 39124289 PMCID: PMC11313931 DOI: 10.3390/plants13152171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/15/2024] [Revised: 07/30/2024] [Accepted: 08/02/2024] [Indexed: 08/12/2024]
7
Hari A, Doddapaneni TRKC, Kikas T. Common operational issues and possible solutions for sustainable biosurfactant production from lignocellulosic feedstock. ENVIRONMENTAL RESEARCH 2024;251:118665. [PMID: 38493851 DOI: 10.1016/j.envres.2024.118665] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Revised: 02/06/2024] [Accepted: 03/07/2024] [Indexed: 03/19/2024]
8
Moreno-Paz S, van der Hoek R, Eliana E, Zwartjens P, Gosiewska S, Martins dos Santos VAP, Schmitz J, Suarez-Diez M. Machine Learning-Guided Optimization of p-Coumaric Acid Production in Yeast. ACS Synth Biol 2024;13:1312-1322. [PMID: 38545878 PMCID: PMC11036487 DOI: 10.1021/acssynbio.4c00035] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Revised: 03/07/2024] [Accepted: 03/14/2024] [Indexed: 04/20/2024]
9
Pandey AK, Nayak SC, Kim SH. Functional link hybrid artificial neural network for predicting continuous biohydrogen production in dynamic membrane bioreactor. BIORESOURCE TECHNOLOGY 2024;397:130496. [PMID: 38408499 DOI: 10.1016/j.biortech.2024.130496] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 01/30/2024] [Accepted: 02/23/2024] [Indexed: 02/28/2024]
10
Hanke P, Parrello B, Vasieva O, Akins C, Chlenski P, Babnigg G, Henry C, Foflonker F, Brettin T, Antonopoulos D, Stevens R, Fonstein M. Engineering of increased L-Threonine production in bacteria by combinatorial cloning and machine learning. Metab Eng Commun 2023;17:e00225. [PMID: 37435441 PMCID: PMC10331477 DOI: 10.1016/j.mec.2023.e00225] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2023] [Revised: 06/02/2023] [Accepted: 06/03/2023] [Indexed: 07/13/2023]  Open
11
Helleckes LM, Hemmerich J, Wiechert W, von Lieres E, Grünberger A. Machine learning in bioprocess development: from promise to practice. Trends Biotechnol 2023;41:817-835. [PMID: 36456404 DOI: 10.1016/j.tibtech.2022.10.010] [Citation(s) in RCA: 11] [Impact Index Per Article: 11.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2022] [Revised: 10/20/2022] [Accepted: 10/27/2022] [Indexed: 11/30/2022]
12
Current status and future prospects in cannabinoid production through in vitro culture and synthetic biology. Biotechnol Adv 2023;62:108074. [PMID: 36481387 DOI: 10.1016/j.biotechadv.2022.108074] [Citation(s) in RCA: 35] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2022] [Revised: 10/27/2022] [Accepted: 11/30/2022] [Indexed: 12/12/2022]
13
Patra P, B R D, Kundu P, Das M, Ghosh A. Recent advances in machine learning applications in metabolic engineering. Biotechnol Adv 2023;62:108069. [PMID: 36442697 DOI: 10.1016/j.biotechadv.2022.108069] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/17/2022] [Revised: 10/18/2022] [Accepted: 11/22/2022] [Indexed: 11/27/2022]
14
Lee SM, Jeong KJ. Advances in Synthetic Biology Tools and Engineering of Corynebacterium glutamicum as a Platform Host for Recombinant Protein Production. BIOTECHNOL BIOPROC E 2022. [DOI: 10.1007/s12257-022-0219-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
15
Scale-up study of aerated coaxial mixing reactors containing non-newtonian power-law fluids: Analysis of gas holdup, cavity size, and power consumption. J IND ENG CHEM 2022. [DOI: 10.1016/j.jiec.2022.06.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/19/2022]
16
Rickert CA, Lieleg O. Machine learning approaches for biomolecular, biophysical, and biomaterials research. BIOPHYSICS REVIEWS 2022;3:021306. [PMID: 38505413 PMCID: PMC10914139 DOI: 10.1063/5.0082179] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2021] [Accepted: 05/12/2022] [Indexed: 03/21/2024]
17
Liao X, Ma H, Tang YJ. Artificial intelligence: a solution to involution of design–build–test–learn cycle. Curr Opin Biotechnol 2022;75:102712. [DOI: 10.1016/j.copbio.2022.102712] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/22/2021] [Revised: 02/05/2022] [Accepted: 03/01/2022] [Indexed: 01/08/2023]
18
Kumar H, Panigrahi M, Panwar A, Rajawat D, Nayak SS, Saravanan KA, Kaisa K, Parida S, Bhushan B, Dutt T. Machine-Learning Prospects for Detecting Selection Signatures Using Population Genomics Data. J Comput Biol 2022;29:943-960. [PMID: 35639362 DOI: 10.1089/cmb.2021.0447] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/29/2022]  Open
19
Wang Z, Peng X, Xia A, Shah AA, Huang Y, Zhu X, Zhu X, Liao Q. The role of machine learning to boost the bioenergy and biofuels conversion. BIORESOURCE TECHNOLOGY 2022;343:126099. [PMID: 34626766 DOI: 10.1016/j.biortech.2021.126099] [Citation(s) in RCA: 26] [Impact Index Per Article: 13.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/09/2021] [Revised: 10/04/2021] [Accepted: 10/05/2021] [Indexed: 06/13/2023]
20
Lakshmi D, Akhil D, Kartik A, Gopinath KP, Arun J, Bhatnagar A, Rinklebe J, Kim W, Muthusamy G. Artificial intelligence (AI) applications in adsorption of heavy metals using modified biochar. THE SCIENCE OF THE TOTAL ENVIRONMENT 2021;801:149623. [PMID: 34425447 DOI: 10.1016/j.scitotenv.2021.149623] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/29/2021] [Revised: 07/29/2021] [Accepted: 08/09/2021] [Indexed: 05/22/2023]
21
Ge Z, Cheng H, Tong Z, Yang L, Zhou B, Wang Z. Pacing Electrocardiogram Detection With Memory-Based Autoencoder and Metric Learning. Front Physiol 2021;12:727210. [PMID: 34975516 PMCID: PMC8718707 DOI: 10.3389/fphys.2021.727210] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2021] [Accepted: 11/16/2021] [Indexed: 11/17/2022]  Open
22
Synthetic Biology Advanced Natural Product Discovery. Metabolites 2021;11:metabo11110785. [PMID: 34822443 PMCID: PMC8617713 DOI: 10.3390/metabo11110785] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Revised: 11/10/2021] [Accepted: 11/12/2021] [Indexed: 01/16/2023]  Open
23
Zhou S, Wu Y, Xie ZX, Jia B, Yuan YJ. Directed genome evolution driven by structural rearrangement techniques. Chem Soc Rev 2021;50:12788-12807. [PMID: 34651628 DOI: 10.1039/d1cs00722j] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
24
Induced pluripotency in the context of stem cell expansion bioprocess development, optimization, and manufacturing: a roadmap to the clinic. NPJ Regen Med 2021;6:72. [PMID: 34725374 PMCID: PMC8560749 DOI: 10.1038/s41536-021-00183-7] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2021] [Accepted: 10/07/2021] [Indexed: 11/09/2022]  Open
25
Khaleghi MK, Savizi ISP, Lewis NE, Shojaosadati SA. Synergisms of machine learning and constraint-based modeling of metabolism for analysis and optimization of fermentation parameters. Biotechnol J 2021;16:e2100212. [PMID: 34390201 DOI: 10.1002/biot.202100212] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2021] [Revised: 08/10/2021] [Accepted: 08/11/2021] [Indexed: 11/06/2022]
26
Dai H, Hwang HG, Tseng VS. Convolutional neural network based automatic screening tool for cardiovascular diseases using different intervals of ECG signals. COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE 2021;203:106035. [PMID: 33770545 DOI: 10.1016/j.cmpb.2021.106035] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/14/2020] [Accepted: 02/28/2021] [Indexed: 06/12/2023]
27
Rathore AS, Nikita S, Thakur G, Deore N. Challenges in process control for continuous processing for production of monoclonal antibody products. Curr Opin Chem Eng 2021. [DOI: 10.1016/j.coche.2021.100671] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023]
28
Daley SK, Cordell GA. Natural Products, the Fourth Industrial Revolution, and the Quintuple Helix. Nat Prod Commun 2021. [DOI: 10.1177/1934578x211003029] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]  Open
29
Amer B, Baidoo EEK. Omics-Driven Biotechnology for Industrial Applications. Front Bioeng Biotechnol 2021;9:613307. [PMID: 33708762 PMCID: PMC7940536 DOI: 10.3389/fbioe.2021.613307] [Citation(s) in RCA: 25] [Impact Index Per Article: 8.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/01/2020] [Accepted: 01/11/2021] [Indexed: 12/11/2022]  Open
30
Gilman J, Walls L, Bandiera L, Menolascina F. Statistical Design of Experiments for Synthetic Biology. ACS Synth Biol 2021;10:1-18. [PMID: 33406821 DOI: 10.1021/acssynbio.0c00385] [Citation(s) in RCA: 36] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/08/2023]
31
Liu Y, Su A, Li J, Ledesma-Amaro R, Xu P, Du G, Liu L. Towards next-generation model microorganism chassis for biomanufacturing. Appl Microbiol Biotechnol 2020;104:9095-9108. [DOI: 10.1007/s00253-020-10902-7] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/27/2020] [Revised: 09/03/2020] [Accepted: 09/10/2020] [Indexed: 11/29/2022]
32
Chen X, Hu R, Hu L, Huang Y, Shi W, Wei Q, Li Z. Portable Analytical Techniques for Monitoring Volatile Organic Chemicals in Biomanufacturing Processes: Recent Advances and Limitations. Front Chem 2020;8:837. [PMID: 33024746 PMCID: PMC7516303 DOI: 10.3389/fchem.2020.00837] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/10/2020] [Indexed: 12/19/2022]  Open
33
Lo-Thong O, Charton P, Cadet XF, Grondin-Perez B, Saavedra E, Damour C, Cadet F. Identification of flux checkpoints in a metabolic pathway through white-box, grey-box and black-box modeling approaches. Sci Rep 2020;10:13446. [PMID: 32778715 PMCID: PMC7417601 DOI: 10.1038/s41598-020-70295-5] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/11/2019] [Accepted: 07/27/2020] [Indexed: 11/29/2022]  Open
34
Wang G, Haringa C, Noorman H, Chu J, Zhuang Y. Developing a Computational Framework To Advance Bioprocess Scale-Up. Trends Biotechnol 2020;38:846-856. [DOI: 10.1016/j.tibtech.2020.01.009] [Citation(s) in RCA: 25] [Impact Index Per Article: 6.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2019] [Revised: 01/27/2020] [Accepted: 01/29/2020] [Indexed: 01/10/2023]
35
Wu C, Cano M, Gao X, Lo J, Maness P, Xiong W. A quantitative lens on anaerobic life: leveraging the state-of-the-art fluxomics approach to explore clostridial metabolism. Curr Opin Biotechnol 2020;64:47-54. [DOI: 10.1016/j.copbio.2019.09.012] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2019] [Revised: 09/02/2019] [Accepted: 09/12/2019] [Indexed: 10/25/2022]
36
Cao M, Tran VG, Zhao H. Unlocking nature's biosynthetic potential by directed genome evolution. Curr Opin Biotechnol 2020;66:95-104. [PMID: 32721868 DOI: 10.1016/j.copbio.2020.06.012] [Citation(s) in RCA: 14] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/30/2020] [Revised: 06/22/2020] [Accepted: 06/22/2020] [Indexed: 01/22/2023]
37
Volk MJ, Lourentzou I, Mishra S, Vo LT, Zhai C, Zhao H. Biosystems Design by Machine Learning. ACS Synth Biol 2020;9:1514-1533. [PMID: 32485108 DOI: 10.1021/acssynbio.0c00129] [Citation(s) in RCA: 56] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
38
Richelle A, David B, Demaegd D, Dewerchin M, Kinet R, Morreale A, Portela R, Zune Q, von Stosch M. Towards a widespread adoption of metabolic modeling tools in biopharmaceutical industry: a process systems biology engineering perspective. NPJ Syst Biol Appl 2020;6:6. [PMID: 32170148 PMCID: PMC7070029 DOI: 10.1038/s41540-020-0127-y] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2019] [Accepted: 02/12/2020] [Indexed: 01/09/2023]  Open
39
Wang G, Haringa C, Tang W, Noorman H, Chu J, Zhuang Y, Zhang S. Coupled metabolic-hydrodynamic modeling enabling rational scale-up of industrial bioprocesses. Biotechnol Bioeng 2019;117:844-867. [PMID: 31814101 DOI: 10.1002/bit.27243] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2019] [Revised: 11/28/2019] [Accepted: 11/30/2019] [Indexed: 12/13/2022]
40
Harnessing microbial metabolomics for industrial applications. World J Microbiol Biotechnol 2019;36:1. [DOI: 10.1007/s11274-019-2775-x] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2019] [Accepted: 11/21/2019] [Indexed: 10/25/2022]
41
Lawson CE, Harcombe WR, Hatzenpichler R, Lindemann SR, Löffler FE, O'Malley MA, García Martín H, Pfleger BF, Raskin L, Venturelli OS, Weissbrodt DG, Noguera DR, McMahon KD. Common principles and best practices for engineering microbiomes. Nat Rev Microbiol 2019;17:725-741. [PMID: 31548653 PMCID: PMC8323346 DOI: 10.1038/s41579-019-0255-9] [Citation(s) in RCA: 256] [Impact Index Per Article: 51.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/06/2019] [Indexed: 12/16/2022]
42
Singh BN, Raghubanshi AS, Koffas M, Gupta VK. Microbial engineering biotechnologies. Biotechnol Adv 2019;37:107399. [DOI: 10.1016/j.biotechadv.2019.05.005] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/07/2023]
43
Agarwal A, Liu YA, McDowell C. 110th Anniversary: Ensemble-Based Machine Learning for Industrial Fermenter Classification and Foaming Control. Ind Eng Chem Res 2019. [DOI: 10.1021/acs.iecr.9b02424] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
44
Presnell KV, Alper HS. Systems Metabolic Engineering Meets Machine Learning: A New Era for Data-Driven Metabolic Engineering. Biotechnol J 2019;14:e1800416. [PMID: 30927499 DOI: 10.1002/biot.201800416] [Citation(s) in RCA: 31] [Impact Index Per Article: 6.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2019] [Revised: 02/20/2019] [Indexed: 12/30/2022]
45
Wehrs M, Tanjore D, Eng T, Lievense J, Pray TR, Mukhopadhyay A. Engineering Robust Production Microbes for Large-Scale Cultivation. Trends Microbiol 2019;27:524-537. [PMID: 30819548 DOI: 10.1016/j.tim.2019.01.006] [Citation(s) in RCA: 119] [Impact Index Per Article: 23.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2018] [Revised: 01/11/2019] [Accepted: 01/23/2019] [Indexed: 11/27/2022]
46
Kuzmak A, Carmali S, von Lieres E, Russell AJ, Kondrat S. Can enzyme proximity accelerate cascade reactions? Sci Rep 2019;9:455. [PMID: 30679600 PMCID: PMC6345930 DOI: 10.1038/s41598-018-37034-3] [Citation(s) in RCA: 49] [Impact Index Per Article: 9.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2018] [Accepted: 11/26/2018] [Indexed: 01/23/2023]  Open
47
Akay A, Hess H. Deep Learning: Current and Emerging Applications in Medicine and Technology. IEEE J Biomed Health Inform 2019;23:906-920. [PMID: 30676989 DOI: 10.1109/jbhi.2019.2894713] [Citation(s) in RCA: 27] [Impact Index Per Article: 5.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
48
Kim OD, Rocha M, Maia P. A Review of Dynamic Modeling Approaches and Their Application in Computational Strain Optimization for Metabolic Engineering. Front Microbiol 2018;9:1690. [PMID: 30108559 PMCID: PMC6079213 DOI: 10.3389/fmicb.2018.01690] [Citation(s) in RCA: 46] [Impact Index Per Article: 7.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2018] [Accepted: 07/06/2018] [Indexed: 12/03/2022]  Open
PrevPage 1 of 1 1Next
© 2004-2024 Baishideng Publishing Group Inc. All rights reserved. 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA