A De Novo Design Strategy to Convert FAcD from Dimer to Active Monomer
Chen, K.-W.; Wang, C.-z.; Huang, H.-s.; Wu, X.; Chen, J.-N.; Qiu, J.-H.; HOI, K. K.; Sun, T.-Y.; Wang, J.-b.; Wu, Y.-D.
Show abstract
Enzymes largely exist in various oligomeric states, but monomeric enzymes are more conducive to industrial applications. Converting an oligomeric enzyme into an active monomer is a significant challenge. In this study, we present a de novo design strategy to convert fluoroacetate dehalogenase (FAcD) from its native dimeric form to an active monomer. Using the AI-based method ProteinMPNN, we identified critical protein-protein interaction (PPI) sites at the dimer interface. ArDCA, another AI tool, was employed to pinpoint catalytic hotspots. Six mutants, Mu1-Mu6, were designed. Molecular dynamics (MD) simulations, coupled with mass spectrometry, confirmed that these mutants form stable monomers. The pre-reaction state (PRS) model predicted that three of these mutants exhibited catalytic activity. In particular, Mu5 with 11 mutations from the wild-type, was predicted to have high catalytic activity, and was subsequently confirmed by kinetics experiment, with a kcat of 672.2 min-1 and a T5030 > 100 {degrees}C, comparable to the wild-type enzyme (kcat = 676.3 min-1, T5030 = 84 {degrees}C). Notably, the Y149M mutation increased catalytic activity nearly forty-fold, demonstrating the effectiveness of our design strategy.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Illuminating the mechanism and allosteric behavior of NanoLuc luciferase 97%
- Frustration in the Protein-Protein interface Plays a Central Role in the Cooperativity of PROTAC Ternary Complexes 96%
- Neural relational inference to learn allosteric long-range interactions in proteins from molecular dynamics simulations 96%
Similar papers in this journal
Similar papers in this journal
- Molecular basis for two stereoselective Diels-Alderases that produce decalin skeletons 96%
- Peptidic tryptophan halogenation by a promiscuous flavin-dependent enzyme 94%
- Machine learning-augmented molecular dynamics simulations (MD) reveal insights into the disconnect between affinity and activation of ZTPriboswitch ligands 94%
Similar papers in this journal
- Automatically Defining Protein Words for Diverse Functional Predictions Based on Attention Analysis of a Protein Language Model 94%
- ProT-Diff: A Modularized and Efficient Approach to De Novo Generation of Antimicrobial Peptide Sequences through Integration of Protein Language Model and Diffusion Model 94%
- Structural and biochemical characterization of a widespread enterobacterial peroxidase encapsulin 93%
Similar papers in this journal
- Systematic Investigation of Machine Learning on Limited Data: A Study on Predicting Protein-Protein Binding Strength 96%
- Leri: a web-server for identifying protein functional networks from evolutionary couplings 95%
- Small-molecule modulators of TRMT2A decrease PolyQ aggregation and PolyQ-induced cell death 95%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.