1. Bernhard O. Palsson 美国 University of California, San Diego 2006美国工程院院士 Machine learning applied to enzyme turnover numbers reveals protein structural correlates and improv..
2. Bernhard O. Palsson 美国 University of California, San Diego 2006美国工程院院士 Fast growth phenotype of E. coli K-12 from adaptive laboratory evolution does not require intracellu..
3. Bernhard O. Palsson 美国 University of California, San Diego 2006美国工程院院士 Literature mining supports a next-generation modeling approach to predict cellular byproduct secreti..
4. Joshua S,Yuan 美国 Texas A and M University Engineering strategies to optimize lignocellulosic biorefineries
5. Nathan E,Lewis 美国 University of California San Diego Recent advances in culture medium design for enhanced production of monoclonal antibodies in CHO cel..
6. Shojaosadati, Seyed Abbas 伊朗 Tarbiat Modares University Recent advances in culture medium design for enhanced production of monoclonal antibodies in CHO cel..
7. Marcel,Dicke 荷兰 University of Wageningen Bivariate GWA mapping reveals associations between aliphatic glucosinolates and plant responses to t..
8. Johnjoe,McFadden 英国 University of Surrey Rethinking 13C-metabolic flux analysis - The Bayesian way of flux inference
9. Neubauer, Peter 德国 Technical University BERLIN When bioprocess engineering meets machine learning: A survey from the perspective of automated biopr..
10. 堵国成 中国 江南大学 Construction of Multiscale Genome-Scale Metabolic Models: Frameworks and Challenges
11. 刘龙 中国 江南大学 Construction of Multiscale Genome-Scale Metabolic Models: Frameworks and Challenges
12. Nathan E,Lewis 美国 University of California San Diego Synergisms of machine learning and constraint-based modeling of metabolism for analysis and optimiza..
13. Shojaosadati, Seyed Abbas 伊朗 Tarbiat Modares University Synergisms of machine learning and constraint-based modeling of metabolism for analysis and optimiza..
14. 堵国成 中国 江南大学 Design and construction of novel biocatalyst for bioprocessing: Recent advances and future outlook
15. 刘龙 中国 江南大学 Design and construction of novel biocatalyst for bioprocessing: Recent advances and future outlook
16. Blake A,Simmons 美国 Lawrence Berkeley National Laboratory Machine learning for metabolic engineering: A review
17. 赵惠民 美国 University of Illinois Urbana-Champaign Biosystems Design by Machine Learning
18. Blank, Lars Mathias 德国 Institute Applied Microbiol iAMB Machine Learning Applications for Mass Spectrometry-Based Metabolomics
19. Chou, Jui-Sheng 中国 国立台湾科技大学 Predicting Microbial Species in a River Based on Physicochemical Properties by Bio-Inspired Metaheur..
20. 于昌平 中国 国立台湾大学 Predicting Microbial Species in a River Based on Physicochemical Properties by Bio-Inspired Metaheur..