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Connection

Gregg Beckham to Metabolic Engineering

This is a "connection" page, showing publications Gregg Beckham has written about Metabolic Engineering.

 
Connection Strength
 
 
 
4.918
 
  1. Bleem A, Kato R, Kellermyer ZA, Katahira R, Miyamoto M, Niinuma K, Kamimura N, Masai E, Beckham GT. Multiplexed fitness profiling by RB-TnSeq elucidates pathways for lignin-related aromatic catabolism in Sphingobium sp. SYK-6. Cell Rep. 2023 08 29; 42(8):112847.
    View in: PubMed
    Score: 0.910
  2. Borchert AJ, Henson WR, Beckham GT. Challenges and opportunities in biological funneling of heterogeneous and toxic substrates beyond lignin. Curr Opin Biotechnol. 2022 02; 73:1-13.
    View in: PubMed
    Score: 0.789
  3. Bentley GJ, Narayanan N, Jha RK, Salvach?a D, Elmore JR, Peabody GL, Black BA, Ramirez K, De Capite A, Michener WE, Werner AZ, Klingeman DM, Schindel HS, Nelson R, Foust L, Guss AM, Dale T, Johnson CW, Beckham GT. Engineering glucose metabolism for enhanced muconic acid production in Pseudomonas putida KT2440. Metab Eng. 2020 05; 59:64-75.
    View in: PubMed
    Score: 0.711
  4. McMillan JD, Beckham GT. Thinking big: towards ideal strains and processes for large-scale aerobic biofuels production. Microb Biotechnol. 2017 01; 10(1):40-42.
    View in: PubMed
    Score: 0.576
  5. Johnson CW, Beckham GT. Aromatic catabolic pathway selection for optimal production of pyruvate and lactate from lignin. Metab Eng. 2015 Mar; 28:240-247.
    View in: PubMed
    Score: 0.504
  6. Werner AZ, Cordell WT, Lahive CW, Klein BC, Singer CA, Tan ECD, Ingraham MA, Ramirez KJ, Kim DH, Pedersen JN, Johnson CW, Pfleger BF, Beckham GT, Salvach?a D. Lignin conversion to ?-ketoadipic acid by Pseudomonas putida via metabolic engineering and bioprocess development. Sci Adv. 2023 09 08; 9(36):eadj0053.
    View in: PubMed
    Score: 0.229
  7. Ling C, Peabody GL, Salvach?a D, Kim YM, Kneucker CM, Calvey CH, Monninger MA, Munoz NM, Poirier BC, Ramirez KJ, St John PC, Woodworth SP, Magnuson JK, Burnum-Johnson KE, Guss AM, Johnson CW, Beckham GT. Muconic acid production from glucose and xylose in Pseudomonas putida via evolution and metabolic engineering. Nat Commun. 2022 08 22; 13(1):4925.
    View in: PubMed
    Score: 0.213
  8. Elmore JR, Dexter GN, Salvach?a D, Martinez-Baird J, Hatmaker EA, Huenemann JD, Klingeman DM, Peabody GL, Peterson DJ, Singer C, Beckham GT, Guss AM. Production of itaconic acid from alkali pretreated lignin by dynamic two stage bioconversion. Nat Commun. 2021 04 15; 12(1):2261.
    View in: PubMed
    Score: 0.194
  9. Hanko EKR, Denby CM, S?nchez I Nogu? V, Lin W, Ramirez KJ, Singer CA, Beckham GT, Keasling JD. Engineering ?-oxidation in Yarrowia lipolytica for methyl ketone production. Metab Eng. 2018 07; 48:52-62.
    View in: PubMed
    Score: 0.159
  10. Liu R, Liang L, Garst AD, Choudhury A, Nogu? VSI, Beckham GT, Gill RT. Directed combinatorial mutagenesis of Escherichia coli for complex phenotype engineering. Metab Eng. 2018 05; 47:10-20.
    View in: PubMed
    Score: 0.157
  11. Guarnieri MT, Chou YC, Salvach?a D, Mohagheghi A, St John PC, Peterson DJ, Bomble YJ, Beckham GT. Metabolic Engineering of Actinobacillus succinogenes Provides Insights into Succinic Acid Biosynthesis. Appl Environ Microbiol. 2017 09 01; 83(17).
    View in: PubMed
    Score: 0.151
  12. Liang L, Liu R, Garst AD, Lee T, Nogu? VSI, Beckham GT, Gill RT. CRISPR EnAbled Trackable genome Engineering for isopropanol production in Escherichia coli. Metab Eng. 2017 05; 41:1-10.
    View in: PubMed
    Score: 0.145
  13. Beckham GT, Johnson CW, Karp EM, Salvach?a D, Vardon DR. Opportunities and challenges in biological lignin valorization. Curr Opin Biotechnol. 2016 12; 42:40-53.
    View in: PubMed
    Score: 0.136
  14. Salvach?a D, Rydzak T, Auwae R, De Capite A, Black BA, Bouvier JT, Cleveland NS, Elmore JR, Huenemann JD, Katahira R, Michener WE, Peterson DJ, Rohrer H, Vardon DR, Beckham GT, Guss AM. Metabolic engineering of Pseudomonas putida for increased polyhydroxyalkanoate production from lignin. Microb Biotechnol. 2020 01; 13(1):290-298.
    View in: PubMed
    Score: 0.043
Connection Strength

The connection strength for concepts is the sum of the scores for each matching publication.

Publication scores are based on many factors, including how long ago they were written and whether the person is a first or senior author.

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