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Record W4393135356 · doi:10.1016/j.synbio.2024.03.007

Expanding catalytic promiscuity of a bifunctional terpene synthase through a single mutation-induced change in hydrogen-bond network within the catalytic pocket

2024· article· en· W4393135356 on OpenAlexaff
Xinye Wang, Yiyi Huang, Weiyan Zhang, Kangjie Lv, Zhixin Wang, Li Zhang, Tom Hsiang, Lixin Zhang, Liming Ouyang, Xueting Liu

Bibliographic record

VenueSynthetic and Systems Biotechnology · 2024
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant biochemistry and biosynthesis
Canadian institutionsUniversity of Guelph
FundersNational Key Research and Development Program of ChinaHigher Education Discipline Innovation ProjectState Key Laboratory of Bioreactor EngineeringMinistry of Science and Technology of the People's Republic of ChinaMinistry of Education of the People's Republic of ChinaNational Natural Science Foundation of China
KeywordsTerpeneCatalysisChemistryBifunctionalStereochemistryHydrogen bondOrganic chemistryMolecule

Abstract

fetched live from OpenAlex

Fungal bifunctional terpene synthases (BFTSs) catalyze the formation of numerous di-/sester-/tri-terpenes skeletons. However, the mechanism in controlling the cyclization pattern of terpene scaffolds is rarely deciphered for further application of tuning the catalytic promiscuity of terpene synthases for expanding the chemical space. In this study, we expanded the catalytic promiscuity of Fusarium oxysporum fusoxypene synthase (FoFS) by a single mutation at L89, leading to the production of three new sesterterpenes. Further computational analysis revealed that the reconstitution of the hydrogen-bond (H-bond) network of second-shell residues around the active site of FoFS influences the orientation of the aromatic residue W69 within the first-shell catalytic pocket. Thus, the dynamic orientation of W69 alters the carbocation transport, leading to the production of diverse ring system skeletons. These findings enhance our knowledge on understanding the molecular mechanisms, which could be applied on protein engineering terpene synthases on regulating the terpene skeletons.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.002

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.252
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations10
Published2024
Admission routes1
Has abstractyes

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