Back

Amenability to Engineering of the Homologation Enzyme, HphA, through Homologous-Based Site-Directed Mutagenesis

Lang Harman, R. M.; Blackstone, G.; Aruna, F. O.; Patel, S. R.; Shin, M.; NeSmith, R. K.; Dickson, D. B.; Spencer, A. C.; Mori, S.

2025-12-03 bioengineering
10.64898/2025.12.01.691582 bioRxiv
Show abstract

Homologation of amino acids, the addition or deletion of a methylene group onto their side chains, has the potential to increase the biostability and bioavailability of peptide natural products. The first enzyme in the homologation pathway, HphA, has been previously characterized and is substrate selective. Bioinformatics studies were used to identify amino acids in the active site of HphA, which may play a role in substrate selection, by comparison to homologous enzymes, homocitrate synthase (HCS) and 2-isopropylmalate synthase (IPMS). Single point mutants to five amino acid residues in the HphAs active site were created to mimic those of HCS and IPMS. Their activities were measured via time-course assays with the natural substrates for HCS and IPMS. Residue A73 was identified as important in the substrate specificity of HphA; therefore, six different additional mutations were generated and tested with nine substrates with various side chains. The HphA A73L mutant exhibited the highest activity compared to the other mutants, showing activity with counterparts of L-Tyr (HphA natural substrate), L-Val (IPMS natural substrate), L-Leu, L-Ser, L-Trp, and L-Asp. Kinetic assays were taken with HphA A73L with the active substrates and compared with kinetic data from HphA WT, HCS, and IPMS. These results demonstrated that the A73L mutation significantly relaxed the substrate specificity of HphA, indicating its amenability to engineering. This research will serve as the foundation for future metabolic engineering studies on the enzymatic homologation pathway of amino acids.

Matching journals

The top 8 journals account for 50% of the predicted probability mass.

1
Metabolic Engineering Communications
20 papers in training set
Top 0.1%
12.3%
2
ACS Synthetic Biology
256 papers in training set
Top 0.5%
10.1%
3
Metabolic Engineering
68 papers in training set
Top 0.1%
9.1%
4
Biotechnology and Bioengineering
49 papers in training set
Top 0.1%
4.8%
5
Scientific Reports
3102 papers in training set
Top 37%
3.6%
6
ACS Catalysis
16 papers in training set
Top 0.1%
3.6%
7
Biotechnology for Biofuels
11 papers in training set
Top 0.1%
3.6%
8
Applied and Environmental Microbiology
301 papers in training set
Top 0.9%
3.6%
50% of probability mass above
9
Microbial Biotechnology
29 papers in training set
Top 0.1%
3.6%
10
Microbial Cell Factories
22 papers in training set
Top 0.1%
3.2%
11
Frontiers in Bioengineering and Biotechnology
88 papers in training set
Top 0.7%
3.1%
12
RSC Advances
18 papers in training set
Top 0.3%
2.4%
13
Computational and Structural Biotechnology Journal
216 papers in training set
Top 3%
2.1%
14
PLOS ONE
4510 papers in training set
Top 48%
2.1%
15
Angewandte Chemie International Edition
81 papers in training set
Top 2%
2.1%
16
Biochemistry
130 papers in training set
Top 0.7%
1.8%
17
ACS Omega
90 papers in training set
Top 1%
1.8%
18
Nature Communications
4913 papers in training set
Top 50%
1.8%
19
Frontiers in Chemistry
14 papers in training set
Top 0.1%
1.7%
20
International Journal of Biological Macromolecules
65 papers in training set
Top 2%
1.2%
21
Chemical Engineering Journal
10 papers in training set
Top 0.4%
1.2%
22
Synthetic and Systems Biotechnology
10 papers in training set
Top 0.4%
0.9%
23
PLOS Computational Biology
1633 papers in training set
Top 22%
0.9%
24
ACS Chemical Biology
150 papers in training set
Top 2%
0.8%
25
Cell Reports Physical Science
18 papers in training set
Top 0.7%
0.8%
26
Frontiers in Microbiology
375 papers in training set
Top 8%
0.8%
27
Advanced Science
249 papers in training set
Top 18%
0.8%
28
ChemBioChem
50 papers in training set
Top 1%
0.7%
29
Protein Science
221 papers in training set
Top 2%
0.7%
30
Plant Science
25 papers in training set
Top 1%
0.6%