skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.


Title: Chimeric dihydrofolate reductases display properties of modularity and biophysical diversity
Abstract While reverse genetics and functional genomics have long affirmed the role of individual mutations in determining protein function, there have been fewer studies addressing how large‐scale changes in protein sequences, such as in entire modular segments, influence protein function and evolution. Given how recombination can reassort protein sequences, these types of changes may play an underappreciated role in how novel protein functions evolve in nature. Such studies could aid our understanding of whether certain organismal phenotypes related to protein function—such as growth in the presence or absence of an antibiotic—are robust with respect to the identity of certain modular segments. In this study, we combine molecular genetics with biochemical and biophysical methods to gain a better understanding of protein modularity in dihydrofolate reductase (DHFR), an enzyme target of antibiotics also widely used as a model for protein evolution. We replace an integral α‐helical segment ofEscherichia coliDHFR with segments from a number of different organisms (many nonmicrobial) and examine how these chimeric enzymes affect organismal phenotypes (e.g., resistance to an antibiotic) as well as biophysical properties of the enzyme (e.g., thermostability). We find that organismal phenotypes and enzyme properties are highly sensitive to the identity of DHFR modules, and that this chimeric approach can create enzymes with diverse biophysical characteristics.  more » « less
Award ID(s):
1736253
PAR ID:
10102732
Author(s) / Creator(s):
 ;  ;  ;  
Publisher / Repository:
Wiley Blackwell (John Wiley & Sons)
Date Published:
Journal Name:
Protein Science
Volume:
28
Issue:
7
ISSN:
0961-8368
Page Range / eLocation ID:
p. 1359-1367
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. Enzymes catalyze biochemical reactions through precise positioning of substrates, cofactors, and amino acids to modulate the transition-state free energy. However, the role of conformational dynamics remains poorly understood due to poor experimental access. This shortcoming is evident withEscherichia colidihydrofolate reductase (DHFR), a model system for the role of protein dynamics in catalysis, for which it is unknown how the enzyme regulates the different active site environments required to facilitate proton and hydride transfer. Here, we describe ligand-, temperature-, and electric-field-based perturbations during X-ray diffraction experiments to map the conformational dynamics of the Michaelis complex of DHFR. We resolve coupled global and local motions and find that these motions are engaged by the protonated substrate to promote efficient catalysis. This result suggests a fundamental design principle for multistep enzymes in which pre-existing dynamics enable intermediates to drive rapid electrostatic reorganization to facilitate subsequent chemical steps. 
    more » « less
  2. Abstract We investigated the relationship between mutations and dynamics inEscherichia colidihydrofolate reductase (DHFR) using computational methods. Our study focused on the M20 and FG loops, which are known to be functionally important and affected by mutations distal to the loops. We used molecular dynamics simulations and developed position‐specific metrics, including the dynamic flexibility index (DFI) and dynamic coupling index (DCI), to analyze the dynamics of wild‐type DHFR and compared our results with existing deep mutational scanning data. Our analysis showed a statistically significant association between DFI and mutational tolerance of the DHFR positions, indicating that DFI can predict functionally beneficial or detrimental substitutions. We also applied an asymmetric version of our DCI metric (DCIasym) to DHFR and found that certain distal residues control the dynamics of the M20 and FG loops, whereas others are controlled by them. Residues that are suggested to control the M20 and FG loops by our DCIasymmetric are evolutionarily nonconserved; mutations at these sites can enhance enzyme activity. On the other hand, residues controlled by the loops are mostly deleterious to function when mutated and are also evolutionary conserved. Our results suggest that dynamics‐based metrics can identify residues that explain the relationship between mutation and protein function or can be targeted to rationally engineer enzymes with enhanced activity. 
    more » « less
  3. Laboratory evolution combined with computational enzyme design provides the opportunity to generate novel biocatalysts. Nevertheless, it has been challenging to understand how laboratory evolution optimizes designer enzymes by introducing seemingly random mutations. A typical enzyme optimized with laboratory evolution is the abiological Kemp eliminase, initially designed by grafting active site residues into a natural protein scaffold. Here, we relate the catalytic power of laboratory-evolved Kemp eliminases to the statistical energy ( E MaxEnt ) inferred from their natural homologous sequences using the maximum entropy model. The E MaxEnt of designs generated by directed evolution is correlated with enhanced activity and reduced stability, thus displaying a stability-activity trade-off. In contrast, the E MaxEnt for mutants in catalytic-active remote regions (in which remote residues are important for catalysis) is strongly anticorrelated with the activity. These findings provide an insight into the role of protein scaffolds in the adaption to new enzymatic functions. It also indicates that the valley in the E MaxEnt landscape can guide enzyme design for abiological catalysis. Overall, the connection between laboratory and natural evolution contributes to understanding what is optimized in the laboratory and how new enzymatic function emerges in nature, and provides guidance for computational enzyme design. 
    more » « less
  4. Abstract The ability of unevolved amino acid sequences to become biological catalysts was key to the emergence of life on Earth. However, billions of years of evolution separate complex modern enzymes from their simpler early ancestors. To probe how unevolved sequences can develop new functions, we use ultrahigh-throughput droplet microfluidics to screen for phosphoesterase activity amidst a library of more than one million sequences based on a de novo designed 4-helix bundle. Characterization of hits revealed that acquisition of function involved a large jump in sequence space enriching for truncations that removed >40% of the protein chain. Biophysical characterization of a catalytically active truncated protein revealed that it dimerizes into an α-helical structure, with the gain of function accompanied by increased structural dynamics. The identified phosphodiesterase is a manganese-dependent metalloenzyme that hydrolyses a range of phosphodiesters. It is most active towards cyclic AMP, with a rate acceleration of ~109and a catalytic proficiency of >1014 M−1, comparable to larger enzymes shaped by billions of years of evolution. 
    more » « less
  5. Confining proteins in synthetic nanoscale spatial compartments has offered a cell-free avenue to understand enzyme structure–function relationships and complex cellular processes near the physiological conditions, an important branch of fundamental protein biophysics studies. Enzyme confinement has also provided advancement in biocatalysis by offering enhanced enzyme reusability, cost-efficiency, and substrate selectivity in certain cases for research and industrial applications. However, the primary research efforts in this area have been focused on the development of novel confinement materials and investigating protein adsorption/interaction with various surfaces, leaving a fundamental knowledge gap, namely, the lack of understanding of the confined enzymes (note that enzyme adsorption to or interactions with surfaces differs from enzyme confinement as the latter offers an enhanced extent of restriction to enzyme movement and/or conformational flexibility). In particular, there is limited understanding of enzymes' structure, dynamics, translocation (into biological pores), folding, and aggregation in extreme cases upon confinement, and how confinement properties such as the size, shape, and rigidity affect these details. The first barrier to bridge this gap is the difficulty in “penetrating” the “shielding” of the confinement walls experimentally; confinement could also lead to high heterogeneity and dynamics in the entrapped enzymes, challenging most protein-probing experimental techniques. The complexity is raised by the variety in the possible confinement environments that enzymes may encounter in nature or on lab benches, which can be categorized to rigid confinement with regular shapes, rigid restriction without regular shapes, and flexible/dynamic confinement which also introduces crowding effects. Thus, to bridge such a knowledge gap, it is critical to combine advanced materials and cutting-edge techniques to re-create the various confinement conditions and understand enzymes therein. We have spearheaded in this challenging area by creating various confinement conditions to restrict enzymes while exploring experimental techniques to understand enzyme behaviors upon confinement at the molecular/residue level. This review is to summarize our key findings on the molecular level details of enzymes confined in (i) rigid compartments with regular shapes based on pre-formed, mesoporous nanoparticles and Metal–Organic Frameworks/Covalent-Organic Frameworks (MOFs/COFs), (ii) rigid confinement with irregular crystal defects with shapes close to the outline of the confined enzymes via co-crystallization of enzymes with certain metal ions and ligands in the aqueous phase (biomineralization), and (iii) flexible, dynamic confinement created by protein-friendly polymeric materials and assemblies. Under each case, we will focus our discussion on (a) the way to load enzymes into the confined spaces, (b) the structural basis of the function and behavior of enzymes within each compartment environments, and (c) technical advances of our methodology to probe the needed structural information. The purposes are to depict the chemical physics details of enzymes at the challenging interface of natural molecules and synthetic compartment materials, guide the selection of enzyme confinement platforms for various applications, and generate excitement in the community on combining cutting-edge technologies and synthetic materials to better understand enzyme performance in biophysics, biocatalysis, and biomedical applications. 
    more » « less