ATLAS of Biochemistry: A Repository of All Possible Biochemical Reactions for Synthetic Biology and Metabolic Engineering Studies
Abstract

Because the complexity of metabolism cannot be intuitively understood or analyzed, computational methods are indispensable for studying biochemistry and deepening our understanding of cellular metabolism to promote new discoveries. We used the computational framework BNICE.ch along with cheminformatic tools to assemble the whole theoretical reactome from the known metabolome through expansion of the known biochemistry presented in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database. We constructed the ATLAS of Biochemistry, a database of all theoretical biochemical reactions based on known biochemical principles and compounds. ATLAS includes more than 130 000 hypothetical enzymatic reactions that connect two or more KEGG metabolites through novel enzymatic reactions that have never been reported to occur in living organisms. Moreover, ATLAS reactions integrate 42% of KEGG metabolites that are not currently present in any KEGG reaction into one or more novel enzymatic reactions. The generated repository of information is organized in a Web-based database (http://lcsb-databases.epfl.ch/atlas/) that allows the user to search for all possible routes from any substrate compound to any product. The resulting pathways involve known and novel enzymatic steps that may indicate unidentified enzymatic activities and provide potential targets for protein engineering. Our approach of introducing novel biochemistry into pathway design and associated databases will be important for synthetic biology and metabolic engineering.
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- Jae Sung Cho, Gi Bae Kim, Hyunmin Eun, Cheon Woo Moon, Sang Yup Lee. Designing Microbial Cell Factories for the Production of Chemicals. JACS Au 2022, 2 (8) , 1781-1799. https://doi.org/10.1021/jacsau.2c00344
- Zhiqing Xu, Radhakrishnan Mahadevan. Efficient Enumeration of Branched Novel Biochemical Pathways Using a Probabilistic Technique. Industrial & Engineering Chemistry Research 2022, 61 (25) , 8645-8657. https://doi.org/10.1021/acs.iecr.1c02211
- Barbara Bourgade, Christopher M. Humphreys, James Millard, Nigel P. Minton, M. Ahsanul Islam. Design, Analysis, and Implementation of a Novel Biochemical Pathway for Ethylene Glycol Production in Clostridium autoethanogenum. ACS Synthetic Biology 2022, 11 (5) , 1790-1800. https://doi.org/10.1021/acssynbio.1c00624
- Ana Vila-Santa, M. Ahsanul Islam, Frederico C. Ferreira, Kristala L. J. Prather, Nuno P. Mira. Prospecting Biochemical Pathways to Implement Microbe-Based Production of the New-to-Nature Platform Chemical Levulinic Acid. ACS Synthetic Biology 2021, 10 (4) , 724-736. https://doi.org/10.1021/acssynbio.0c00518
- Jasmin Hafner, Homa MohammadiPeyhani, Anastasia Sveshnikova, Alan Scheidegger, Vassily Hatzimanikatis. Updated ATLAS of Biochemistry with New Metabolites and Improved Enzyme Prediction Power. ACS Synthetic Biology 2020, 9 (6) , 1479-1482. https://doi.org/10.1021/acssynbio.0c00052
- Muhammad Rizwan Riaz, Gail M. Preston, Aziz Mithani. MAPPS: A Web-Based Tool for Metabolic Pathway Prediction and Network Analysis in the Postgenomic Era. ACS Synthetic Biology 2020, 9 (5) , 1069-1082. https://doi.org/10.1021/acssynbio.9b00397
- Mathilde Koch, Thomas Duigou, Jean-Loup Faulon. Reinforcement Learning for Bioretrosynthesis. ACS Synthetic Biology 2020, 9 (1) , 157-168. https://doi.org/10.1021/acssynbio.9b00447
- Jonathan D. Tyzack, Antonio J. M. Ribeiro, Neera Borkakoti, Janet M. Thornton. Exploring Chemical Biosynthetic Design Space with Transform-MinER. ACS Synthetic Biology 2019, 8 (11) , 2494-2506. https://doi.org/10.1021/acssynbio.9b00105
- Adrian Jinich, Benjamin Sanchez-Lengeling, Haniu Ren, Rebecca Harman, Alán Aspuru-Guzik. A Mixed Quantum Chemistry/Machine Learning Approach for the Fast and Accurate Prediction of Biochemical Redox Potentials and Its Large-Scale Application to 315 000 Redox Reactions. ACS Central Science 2019, 5 (7) , 1199-1210. https://doi.org/10.1021/acscentsci.9b00297
- Onur Erbilgin, Oliver Rübel, Katherine B. Louie, Matthew Trinh, Markus de Raad, Tony Wildish, Daniel Udwary, Cindi Hoover, Samuel Deutsch, Trent R. Northen, Benjamin P. Bowen. MAGI: A Method for Metabolite Annotation and Gene Integration. ACS Chemical Biology 2019, 14 (4) , 704-714. https://doi.org/10.1021/acschembio.8b01107
- Milenko Tokic, Noushin Hadadi, Meric Ataman, Dário Neves, Birgitta E. Ebert, Lars M. Blank, Ljubisa Miskovic, Vassily Hatzimanikatis. Discovery and Evaluation of Biosynthetic Pathways for the Production of Five Methyl Ethyl Ketone Precursors. ACS Synthetic Biology 2018, 7 (8) , 1858-1873. https://doi.org/10.1021/acssynbio.8b00049
- Alessandro Pedretti, Angelica Mazzolari, Giulio Vistoli, and Bernard Testa . MetaQSAR: An Integrated Database Engine to Manage and Analyze Metabolic Data. Journal of Medicinal Chemistry 2018, 61 (3) , 1019-1030. https://doi.org/10.1021/acs.jmedchem.7b01473
- Kevin M. Shebek, Jonathan Strutz, Linda J. Broadbelt, Keith E. J. Tyo. Pickaxe: a Python library for the prediction of novel metabolic reactions. BMC Bioinformatics 2023, 24 (1) https://doi.org/10.1186/s12859-023-05149-8
- Sizhe Qiu, Aidong Yang, Hong Zeng, . Flux balance analysis-based metabolic modeling of microbial secondary metabolism: Current status and outlook. PLOS Computational Biology 2023, 19 (8) , e1011391. https://doi.org/10.1371/journal.pcbi.1011391
- Neil D. Butler, Sabyasachi Sen, Lucas B. Brown, Minwei Lin, Aditya M. Kunjapur. A platform for distributed production of synthetic nitrated proteins in live bacteria. Nature Chemical Biology 2023, 19 (7) , 911-920. https://doi.org/10.1038/s41589-023-01338-x
- Zaigao Tan, Jian Li, Jin Hou, Ramon Gonzalez. Designing artificial pathways for improving chemical production. Biotechnology Advances 2023, 64 , 108119. https://doi.org/10.1016/j.biotechadv.2023.108119
- Dongsoo Yang, Hyunmin Eun, Cindy Pricilia Surya Prabowo. Metabolic Engineering and Synthetic Biology Approaches for the Heterologous Production of Aromatic Polyketides. International Journal of Molecular Sciences 2023, 24 (10) , 8923. https://doi.org/10.3390/ijms24108923
- Jiangong Lu, Xinyu Bi, Yanfeng Liu, Xueqin Lv, Jianghua Li, Guocheng Du, Long Liu. In silico cell factory design driven by comprehensive genome-scale metabolic models: development and challenges. Systems Microbiology and Biomanufacturing 2023, 3 (2) , 207-222. https://doi.org/10.1007/s43393-022-00117-4
- Brendan Fu-Long Sieow, Ryan De Sotto, Zhi Ren Darren Seet, In Young Hwang, Matthew Wook Chang. Synthetic Biology Meets Machine Learning. 2023, 21-39. https://doi.org/10.1007/978-1-0716-2617-7_2
- Jian Zhang, Liang Guo, Cong Gao, Wei Song, Jing Wu, Liming Liu, Xiulai Chen. Metabolic engineering strategies for microbial utilization of C1 feedstocks. Systems Microbiology and Biomanufacturing 2023, 3 (1) , 122-136. https://doi.org/10.1007/s43393-022-00135-2
- Yanmei Qin, Qiangzi Li, Lin Fan, Xiao Ning, Xinlei Wei, Chun You. Biomanufacturing by In Vitro Biotransformation (ivBT) Using Purified Cascade Multi-enzymes. 2023https://doi.org/10.1007/10_2023_231
- Peng Ken Lim, Irene Julca, Marek Mutwil. Redesigning plant specialized metabolism with supervised machine learning using publicly available reactome data. Computational and Structural Biotechnology Journal 2023, 21 , 1639-1650. https://doi.org/10.1016/j.csbj.2023.01.013
- Daniel Probst, Matteo Manica, Yves Gaetan Nana Teukam, Alessandro Castrogiovanni, Federico Paratore, Teodoro Laino. Biocatalysed synthesis planning using data-driven learning. Nature Communications 2022, 13 (1) https://doi.org/10.1038/s41467-022-28536-w
- Homa MohammadiPeyhani, Jasmin Hafner, Anastasia Sveshnikova, Victor Viterbo, Vassily Hatzimanikatis. Expanding biochemical knowledge and illuminating metabolic dark matter with ATLASx. Nature Communications 2022, 13 (1) https://doi.org/10.1038/s41467-022-29238-z
- Evangelia Vayena, Anush Chiappino-Pepe, Homa MohammadiPeyhani, Yannick Francioli, Noushin Hadadi, Meriç Ataman, Jasmin Hafner, Stavros Pavlou, Vassily Hatzimanikatis. A workflow for annotating the knowledge gaps in metabolic reconstructions using known and hypothetical reactions. Proceedings of the National Academy of Sciences 2022, 119 (46) https://doi.org/10.1073/pnas.2211197119
- Dongsoo Yang, Hyunmin Eun, Cindy Pricilia Surya Prabowo, Sumin Cho, Sang Yup Lee. Metabolic and cellular engineering for the production of natural products. Current Opinion in Biotechnology 2022, 77 , 102760. https://doi.org/10.1016/j.copbio.2022.102760
- Anastasia Sveshnikova, Homa MohammadiPeyhani, Vassily Hatzimanikatis. Computational tools and resources for designing new pathways to small molecules. Current Opinion in Biotechnology 2022, 76 , 102722. https://doi.org/10.1016/j.copbio.2022.102722
- Damini Maithani, Anita Sharma, Saurabh Gangola, Parul Chaudhary, Pankaj Bhatt. Insights into applications and strategies for discovery of microbial bioactive metabolites. Microbiological Research 2022, 261 , 127053. https://doi.org/10.1016/j.micres.2022.127053
- Anastasia Sveshnikova, Homa MohammadiPeyhani, Vassily Hatzimanikatis. ARBRE: Computational resource to predict pathways towards industrially important aromatic compounds. Metabolic Engineering 2022, 72 , 259-274. https://doi.org/10.1016/j.ymben.2022.03.013
- Jianbo Zhao, Dongmei Liang, Weiguo Li, Xiaoguang Yan, Jianjun Qiao, Qinggele Caiyin. Research Progress on the Synthetic Biology of Botanical Biopesticides. Bioengineering 2022, 9 (5) , 207. https://doi.org/10.3390/bioengineering9050207
- Aiswarya Girija, Mallika Vijayanathan, Sweda Sreekumar, Jasim Basheer, Tara G. Menon, Radhakrishnan E. Krishnankutty, Eppurathu V. Soniya. Harnessing the Natural Pool of Polyketide and Non-ribosomal Peptide Family: A Route Map towards Novel Drug Development. Current Molecular Pharmacology 2022, 15 (2) , 265-291. https://doi.org/10.2174/1874467214666210319145816
- Michal Vasina, Jan Velecký, Joan Planas-Iglesias, Sergio M. Marques, Jana Skarupova, Jiri Damborsky, David Bednar, Stanislav Mazurenko, Zbynek Prokop. Tools for computational design and high-throughput screening of therapeutic enzymes. Advanced Drug Delivery Reviews 2022, 183 , 114143. https://doi.org/10.1016/j.addr.2022.114143
- Adam Amara, Clément Frainay, Fabien Jourdan, Thomas Naake, Steffen Neumann, Elva María Novoa-del-Toro, Reza M Salek, Liesa Salzer, Sarah Scharfenberg, Michael Witting. Networks and Graphs Discovery in Metabolomics Data Analysis and Interpretation. Frontiers in Molecular Biosciences 2022, 9 https://doi.org/10.3389/fmolb.2022.841373
- David Romero-Suarez, Jay D. Keasling, Michael K. Jensen. Supplying plant natural products by yeast cell factories. Current Opinion in Green and Sustainable Chemistry 2022, 33 , 100567. https://doi.org/10.1016/j.cogsc.2021.100567
- Moritz E Beber, Mattia G Gollub, Dana Mozaffari, Kevin M Shebek, Avi I Flamholz, Ron Milo, Elad Noor. eQuilibrator 3.0: a database solution for thermodynamic constant estimation. Nucleic Acids Research 2022, 50 (D1) , D603-D609. https://doi.org/10.1093/nar/gkab1106
- Pedro A. Saa. Rational Metabolic Pathway Prediction and Design: Computational Tools and Their Applications for Yeast Systems and Synthetic Biology. 2022, 3-25. https://doi.org/10.1007/978-3-030-89680-5_1
- Jie Liu, Jianmin Liu, Liang Guo, Jia Liu, Xiulai Chen, Liming Liu, Cong Gao. Advances in microbial synthesis of bioplastic monomers. 2022, 35-81. https://doi.org/10.1016/bs.aambs.2022.05.002
- Jing Feng, Wen-Chao Geng, Huifeng Jiang, Bian Wu. Recent advances in biocatalysis of nitrogen-containing heterocycles. Biotechnology Advances 2022, 54 , 107813. https://doi.org/10.1016/j.biotechadv.2021.107813
- Ana Vila-Santa, Fernão C. Mendes, Frederico C. Ferreira, Kristala L. J. Prather, Nuno P. Mira. Implementation of Synthetic Pathways to Foster Microbe-Based Production of Non-Naturally Occurring Carboxylic Acids and Derivatives. Journal of Fungi 2021, 7 (12) , 1020. https://doi.org/10.3390/jof7121020
- David B. Bernstein, Snorre Sulheim, Eivind Almaas, Daniel Segrè. Addressing uncertainty in genome-scale metabolic model reconstruction and analysis. Genome Biology 2021, 22 (1) https://doi.org/10.1186/s13059-021-02289-z
- Jasmin Hafner, James Payne, Homa MohammadiPeyhani, Vassily Hatzimanikatis, Christina Smolke. A computational workflow for the expansion of heterologous biosynthetic pathways to natural product derivatives. Nature Communications 2021, 12 (1) https://doi.org/10.1038/s41467-021-22022-5
- Jasmin Hafner, Vassily Hatzimanikatis, . NICEpath: Finding metabolic pathways in large networks through atom-conserving substrate–product pairs. Bioinformatics 2021, 37 (20) , 3560-3568. https://doi.org/10.1093/bioinformatics/btab368
- Shailendra Singh Shera, Rathindra Mohan Banik. Metabolic Engineering Strategies to Enhance Microbial Production of Biopolymers. 2021, 247-285. https://doi.org/10.1002/9781119771951.ch8
- Angelica Mazzolari, Alice Scaccabarozzi, Giulio Vistoli, Alessandro Pedretti. MetaClass, a Comprehensive Classification System for Predicting the Occurrence of Metabolic Reactions Based on the MetaQSAR Database. Molecules 2021, 26 (19) , 5857. https://doi.org/10.3390/molecules26195857
- Tao Cai, Hongbing Sun, Jing Qiao, Leilei Zhu, Fan Zhang, Jie Zhang, Zijing Tang, Xinlei Wei, Jiangang Yang, Qianqian Yuan, Wangyin Wang, Xue Yang, Huanyu Chu, Qian Wang, Chun You, Hongwu Ma, Yuanxia Sun, Yin Li, Can Li, Huifeng Jiang, Qinhong Wang, Yanhe Ma. Cell-free chemoenzymatic starch synthesis from carbon dioxide. Science 2021, 373 (6562) , 1523-1527. https://doi.org/10.1126/science.abh4049
- , , Dongsoo Yang, Cindy Pricilia Surya Prabowo, Hyunmin Eun, Seon Young Park, In Jin Cho, Song Jiao, Sang Yup Lee. Escherichia coli as a platform microbial host for systems metabolic engineering. Essays in Biochemistry 2021, 65 (2) , 225-246. https://doi.org/10.1042/EBC20200172
- Jasmin Hafner, Homa Mohammadi‐Peyhani, Vassily Hatzimanikatis. Pathway Design. 2021, 237-257. https://doi.org/10.1002/9783527823468.ch8
- Pablo I. Nikel, Víctor de Lorenzo. Metabolic Engineering for Large‐Scale Environmental Bioremediation. 2021, 859-890. https://doi.org/10.1002/9783527823468.ch22
- Huan Jin, Hunter N. B. Moseley. Hierarchical Harmonization of Atom-Resolved Metabolic Reactions across Metabolic Databases. Metabolites 2021, 11 (7) , 431. https://doi.org/10.3390/metabo11070431
- Yufeng Mao, Qianqian Yuan, Xue Yang, Pi Liu, Ying Cheng, Jiahao Luo, Huanhuan Liu, Yonghong Yao, Hongbing Sun, Tao Cai, Hongwu Ma. Non-natural Aldol Reactions Enable the Design and Construction of Novel One-Carbon Assimilation Pathways in vitro. Frontiers in Microbiology 2021, 12 https://doi.org/10.3389/fmicb.2021.677596
- Vladimir Porokhin, Sara A. Amin, Trevor B. Nicks, Venkatesh Endalur Gopinarayanan, Nikhil U. Nair, Soha Hassoun. Analysis of metabolic network disruption in engineered microbial hosts due to enzyme promiscuity. Metabolic Engineering Communications 2021, 12 , e00170. https://doi.org/10.1016/j.mec.2021.e00170
- Zhuofu Ni, Andrew E. Stine, Keith E.J. Tyo, Linda J. Broadbelt. Curating a comprehensive set of enzymatic reaction rules for efficient novel biosynthetic pathway design. Metabolic Engineering 2021, 65 , 79-87. https://doi.org/10.1016/j.ymben.2021.02.006
- Yeji Kim, Jae Yong Ryu, Hyun Uk Kim, Woo Dae Jang, Sang Yup Lee. A deep learning approach to evaluate the feasibility of enzymatic reactions generated by retrobiosynthesis. Biotechnology Journal 2021, 16 (5) https://doi.org/10.1002/biot.202000605
- Jing Li, Huimiao Zhao, Lanxin Zheng, Wenlin An. Advances in Synthetic Biology and Biosafety Governance. Frontiers in Bioengineering and Biotechnology 2021, 9 https://doi.org/10.3389/fbioe.2021.598087
- Karel Diéguez-Santana, Gerardo M. Casañola-Martin, James R. Green, Bakhtiyor Rasulev, Humberto González-Díaz. Predicting Metabolic Reaction Networks with Perturbation-Theory Machine Learning (PTML) Models. Current Topics in Medicinal Chemistry 2021, 21 (9) , 819-827. https://doi.org/10.2174/1568026621666210331161144
- Anush Chiappino-Pepe, Vassily Hatzimanikatis. PhenoMapping: A protocol to map cellular phenotypes to metabolic bottlenecks, identify conditional essentiality, and curate metabolic models. STAR Protocols 2021, 2 (1) , 100280. https://doi.org/10.1016/j.xpro.2020.100280
- Sandrien Desmet, Marlies Brouckaert, Wout Boerjan, Kris Morreel. Seeing the forest for the trees: Retrieving plant secondary biochemical pathways from metabolome networks. Computational and Structural Biotechnology Journal 2021, 19 , 72-85. https://doi.org/10.1016/j.csbj.2020.11.050
- Matias F. Gerard, Raúl N. Comelli. PhDSeeker: Pheromone-Directed Seeker for metabolic pathways. Biosystems 2020, 198 , 104259. https://doi.org/10.1016/j.biosystems.2020.104259
- Sarah M. Kim, Matthew I. Peña, Mark Moll, George N. Bennett, Lydia E. Kavraki. Improving the organization and interactivity of metabolic pathfinding with precomputed pathways. BMC Bioinformatics 2020, 21 (1) https://doi.org/10.1186/s12859-019-3328-x
- Milenko Tokic, Vassily Hatzimanikatis, Ljubisa Miskovic. Large-scale kinetic metabolic models of Pseudomonas putida KT2440 for consistent design of metabolic engineering strategies. Biotechnology for Biofuels 2020, 13 (1) https://doi.org/10.1186/s13068-020-1665-7
- Dandan Sun, Xingxiang Cheng, Yu Tian, Shaozhen Ding, Dachuan Zhang, Pengli Cai, Qian-nan Hu. EnzyMine: a comprehensive database for enzyme function annotation with enzymatic reaction chemical feature. Database 2020, 46 https://doi.org/10.1093/database/baaa065
- Wen Mao, Qianqian Yuan, Hongge Qi, Zhiwen Wang, Hongwu Ma, Tao Chen. Recent progress in metabolic engineering of microbial formate assimilation. Applied Microbiology and Biotechnology 2020, 104 (16) , 6905-6917. https://doi.org/10.1007/s00253-020-10725-6
- Shaozhen Ding, Yu Tian, Pengli Cai, Dachuan Zhang, Xingxiang Cheng, Dandan Sun, Le Yuan, Junni Chen, Weizhong Tu, Dong-Qing Wei, Qian-Nan Hu. novoPathFinder: a webserver of designing novel-pathway with integrating GEM-model. Nucleic Acids Research 2020, 48 (W1) , W477-W487. https://doi.org/10.1093/nar/gkaa230
- Xianhao Xu, Yanfeng Liu, Guocheng Du, Rodrigo Ledesma-Amaro, Long Liu. Microbial Chassis Development for Natural Product Biosynthesis. Trends in Biotechnology 2020, 38 (7) , 779-796. https://doi.org/10.1016/j.tibtech.2020.01.002
- Andreia Bento-Silva, Ville M. Koistinen, Pedro Mena, Maria R. Bronze, Kati Hanhineva, Stefan Sahlstrøm, Vaida Kitrytė, Sofia Moco, Anna-Marja Aura. Factors affecting intake, metabolism and health benefits of phenolic acids: do we understand individual variability?. European Journal of Nutrition 2020, 59 (4) , 1275-1293. https://doi.org/10.1007/s00394-019-01987-6
- Katherine B. Louie, Suzanne M. Kosina, Yuntao Hu, Hiroshi Otani, Markus de Raad, Andrea N. Kuftin, Nigel J. Mouncey, Benjamin P. Bowen, Trent R. Northen. Mass Spectrometry for Natural Product Discovery. 2020, 263-306. https://doi.org/10.1016/B978-0-12-409547-2.14834-6
- Xue Yang, Qianqian Yuan, Hao Luo, Feiran Li, Yufeng Mao, Xin Zhao, Jiawei Du, Peishun Li, Xiaozhi Ju, Yangyang Zheng, Yang Chen, Yuwan Liu, Huifeng Jiang, Yonghong Yao, Hongwu Ma, Yanhe Ma. Systematic design and in vitro validation of novel one-carbon assimilation pathways. Metabolic Engineering 2019, 56 , 142-153. https://doi.org/10.1016/j.ymben.2019.09.001
- Leanne S. Whitmore, Bernard Nguyen, Ali Pinar, Anthe George, Corey M. Hudson. RetSynth: determining all optimal and sub-optimal synthetic pathways that facilitate synthesis of target compounds in chassis organisms. BMC Bioinformatics 2019, 20 (1) https://doi.org/10.1186/s12859-019-3025-9
- Sara A. Amin, Elizabeth Chavez, Vladimir Porokhin, Nikhil U. Nair, Soha Hassoun. Towards creating an extended metabolic model (EMM) for E. coli using enzyme promiscuity prediction and metabolomics data. Microbial Cell Factories 2019, 18 (1) https://doi.org/10.1186/s12934-019-1156-3
- Aaron Cravens, James Payne, Christina D. Smolke. Synthetic biology strategies for microbial biosynthesis of plant natural products. Nature Communications 2019, 10 (1) https://doi.org/10.1038/s41467-019-09848-w
- Mingzhu Ding, Biqiang Chen, Xiaojun Ji, Jingwen Zhou, Huiyuan Wang, Xiwei Tian, Xudong Feng, Hua Yue, Yongjin Zhou, Hailong Wang, Jianping Wu, Pengpeng Yang, Yu Jiang, Xuming Mao, Gang Xiao, Cheng Zhong, Wenhai Xiao, Bingzhi Li, Lei Qin, Jingsheng Cheng, Mingdong Yao, Ying Wang, Hong Liu, Lin Zhang, Linling Yu, Tao Chen, Xiaoyan Dong, Xiaoqiang Jia, Songping Zhang, Yanfeng Liu, Yong Chen, Kequan Chen, Jinglan Wu, Chenjie Zhu, Wei Zhuang, Sheng Xu, Pengfei Jiao, Lei Zhang, Hao Song, Sheng Yang, Yan Xiong, Yongquan Li, Youming Zhang, Yingping Zhuang, Haijia Su, Weiping Fu, Yingming Huang, Chun Li, Zongbao K. Zhao, Yan Sun, Guo-Qiang Chen, Xueming Zhao, He Huang, Yuguo Zheng, Lirong Yang, Zhiguo Su, Guanghui Ma, Hanjie Ying, Jian Chen, Tianwei Tan, Yingjin Yuan. Biochemical engineering in China. Reviews in Chemical Engineering 2019, 35 (8) , 929-993. https://doi.org/10.1515/revce-2017-0035
- Alessandra Biz, Scott Proulx, Zhiqing Xu, Kavya Siddartha, Alex Mulet Indrayanti, Radhakrishnan Mahadevan. Systems biology based metabolic engineering for non-natural chemicals. Biotechnology Advances 2019, 37 (6) , 107379. https://doi.org/10.1016/j.biotechadv.2019.04.001
- Rebecca R. Stanway, Ellen Bushell, Anush Chiappino-Pepe, Magali Roques, Theo Sanderson, Blandine Franke-Fayard, Reto Caldelari, Murielle Golomingi, Mary Nyonda, Vikash Pandey, Frank Schwach, Séverine Chevalley, Jai Ramesar, Tom Metcalf, Colin Herd, Paul-Christian Burda, Julian C. Rayner, Dominique Soldati-Favre, Chris J. Janse, Vassily Hatzimanikatis, Oliver Billker, Volker T. Heussler. Genome-Scale Identification of Essential Metabolic Processes for Targeting the Plasmodium Liver Stage. Cell 2019, 179 (5) , 1112-1128.e26. https://doi.org/10.1016/j.cell.2019.10.030
- Andrew N. Lane, Richard M. Higashi, Teresa W-M. Fan. NMR and MS-based Stable Isotope-Resolved Metabolomics and applications in cancer metabolism. TrAC Trends in Analytical Chemistry 2019, 120 , 115322. https://doi.org/10.1016/j.trac.2018.11.020
- Pedro A. Saa, María P. Cortés, Javiera López, Diego Bustos, Alejandro Maass, Eduardo Agosin. Expanding Metabolic Capabilities Using Novel Pathway Designs: Computational Tools and Case Studies. Biotechnology Journal 2019, 14 (9) https://doi.org/10.1002/biot.201800734
- Kristin V. Presnell, Hal S. Alper. Systems Metabolic Engineering Meets Machine Learning: A New Era for Data‐Driven Metabolic Engineering. Biotechnology Journal 2019, 14 (9) https://doi.org/10.1002/biot.201800416
- Kyeong Rok Choi, Woo Dae Jang, Dongsoo Yang, Jae Sung Cho, Dahyeon Park, Sang Yup Lee. Systems Metabolic Engineering Strategies: Integrating Systems and Synthetic Biology with Metabolic Engineering. Trends in Biotechnology 2019, 37 (8) , 817-837. https://doi.org/10.1016/j.tibtech.2019.01.003
- Noushin Hadadi, Homa MohammadiPeyhani, Ljubisa Miskovic, Marianne Seijo, Vassily Hatzimanikatis. Enzyme annotation for orphan and novel reactions using knowledge of substrate reactive sites. Proceedings of the National Academy of Sciences 2019, 116 (15) , 7298-7307. https://doi.org/10.1073/pnas.1818877116
- Geng-Min Lin, Robert Warden-Rothman, Christopher A. Voigt. Retrosynthetic design of metabolic pathways to chemicals not found in nature. Current Opinion in Systems Biology 2019, 14 , 82-107. https://doi.org/10.1016/j.coisb.2019.04.004
- Víctor de Lorenzo. Biodegradation and Bioremediation: An Introduction. 2019, 1-20. https://doi.org/10.1007/978-3-319-50433-9_1
- Julio Alves Cardoso Filho. Production and Application of Novel Bio-active Compounds by Endophytic Microbes. 2019, 1-40. https://doi.org/10.1007/978-981-13-7154-7_1
- Sang Yup Lee, Hyun Uk Kim, Tong Un Chae, Jae Sung Cho, Je Woong Kim, Jae Ho Shin, Dong In Kim, Yoo-Sung Ko, Woo Dae Jang, Yu-Sin Jang. A comprehensive metabolic map for production of bio-based chemicals. Nature Catalysis 2019, 2 (1) , 18-33. https://doi.org/10.1038/s41929-018-0212-4
- Aarthi Ravikrishnan, Meghana Nasre, Karthik Raman. Enumerating all possible biosynthetic pathways in metabolic networks. Scientific Reports 2018, 8 (1) https://doi.org/10.1038/s41598-018-28007-7
- Adrian Jinich, Avi Flamholz, Haniu Ren, Sung-Jin Kim, Benjamin Sanchez-Lengeling, Charles A. R. Cotton, Elad Noor, Alán Aspuru-Guzik, Arren Bar-Even, . Quantum chemistry reveals thermodynamic principles of redox biochemistry. PLOS Computational Biology 2018, 14 (10) , e1006471. https://doi.org/10.1371/journal.pcbi.1006471
- James G. Jeffryes, Samuel M.D. Seaver, José P. Faria, Christopher S. Henry. A pathway for every product? Tools to discover and design plant metabolism. Plant Science 2018, 273 , 61-70. https://doi.org/10.1016/j.plantsci.2018.03.025
- Pablo Carbonell, Jerry Wong, Neil Swainston, Eriko Takano, Nicholas J Turner, Nigel S Scrutton, Douglas B Kell, Rainer Breitling, Jean-Loup Faulon, . Selenzyme: enzyme selection tool for pathway design. Bioinformatics 2018, 34 (12) , 2153-2154. https://doi.org/10.1093/bioinformatics/bty065
- Víctor de Lorenzo. Biodegradation and Bioremediation: An Introduction. 2018, 1-21. https://doi.org/10.1007/978-3-319-44535-9_1-1
- Stephanie Heux, Trygve Brautaset, Julia A. Vorholt, Volker F. Wendisch, Jean Charles Portais. Synthetic Methylotrophy: Past, Present, and Future. 2018, 133-151. https://doi.org/10.1007/978-3-319-74866-5_9
- Joanna C. Sadler, Lucy Green, Neil Swainston, Douglas B. Kell, Andrew Currin. Fast and Flexible Synthesis of Combinatorial Libraries for Directed Evolution. 2018, 59-79. https://doi.org/10.1016/bs.mie.2018.04.006
- Baudoin Delépine, Thomas Duigou, Pablo Carbonell, Jean-Loup Faulon. RetroPath2.0: A retrosynthesis workflow for metabolic engineers. Metabolic Engineering 2018, 45 , 158-170. https://doi.org/10.1016/j.ymben.2017.12.002
- Johannes Asplund-Samuelsson, Markus Janasch, Elton P. Hudson. Thermodynamic analysis of computed pathways integrated into the metabolic networks of E. coli and Synechocystis reveals contrasting expansion potential. Metabolic Engineering 2018, 45 , 223-236. https://doi.org/10.1016/j.ymben.2017.12.011
- Aravind Sankar, Sayan Ranu, Karthik Raman, . Predicting novel metabolic pathways through subgraph mining. Bioinformatics 2017, 33 (24) , 3955-3963. https://doi.org/10.1093/bioinformatics/btx481
- Lin Wang, Satyakam Dash, Chiam Yu Ng, Costas D. Maranas. A review of computational tools for design and reconstruction of metabolic pathways. Synthetic and Systems Biotechnology 2017, 2 (4) , 243-252. https://doi.org/10.1016/j.synbio.2017.11.002
- Sarah M. Kim, Matthew I. Peña, Mark Moll, George N. Bennett, Lydia E. Kavraki. A review of parameters and heuristics for guiding metabolic pathfinding. Journal of Cheminformatics 2017, 9 (1) https://doi.org/10.1186/s13321-017-0239-6
- Mathilde Koch, Thomas Duigou, Pablo Carbonell, Jean-Loup Faulon. Molecular structures enumeration and virtual screening in the chemical space with RetroPath2.0. Journal of Cheminformatics 2017, 9 (1) https://doi.org/10.1186/s13321-017-0252-9
- Pavel Dvořák, Pablo I. Nikel, Jiří Damborský, Víctor de Lorenzo. Bioremediation 3.0: Engineering pollutant-removing bacteria in the times of systemic biology. Biotechnology Advances 2017, 35 (7) , 845-866. https://doi.org/10.1016/j.biotechadv.2017.08.001
- Víctor de Lorenzo. Seven microbial bio‐processes to help the planet. Microbial Biotechnology 2017, 10 (5) , 995-998. https://doi.org/10.1111/1751-7915.12816
- David K Karig. Cell-free synthetic biology for environmental sensing and remediation. Current Opinion in Biotechnology 2017, 45 , 69-75. https://doi.org/10.1016/j.copbio.2017.01.010
- M. Ahsanul Islam, Noushin Hadadi, Meric Ataman, Vassily Hatzimanikatis, Gregory Stephanopoulos. Exploring biochemical pathways for mono-ethylene glycol (MEG) synthesis from synthesis gas. Metabolic Engineering 2017, 41 , 173-181. https://doi.org/10.1016/j.ymben.2017.04.005
- Hugh M. Purdy, Jennifer L. Reed. Evaluating the capabilities of microbial chemical production using genome-scale metabolic models. Current Opinion in Systems Biology 2017, 2 , 91-97. https://doi.org/10.1016/j.coisb.2017.01.008