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Clonagem e caracterização da enzima epóxido hidrolase de <i>Trichoderma reesei</i>.

2019· dissertation· pt· W2918322066 on OpenAlexaff
Gabriel Stephani de Oliveira

Bibliographic record

Venuenot available
Typedissertation
Languagept
FieldBiochemistry, Genetics and Molecular Biology
TopicEnzyme Catalysis and Immobilization
Canadian institutionsInternational Union of Biochemistry and Molecular Biology
Fundersnot available
KeywordsTrichoderma reeseiChemistryMolecular biologyNuclear chemistryBiochemistryEnzymeBiologyCellulase

Abstract

fetched live from OpenAlex

\n Epóxido hidrolases (EHs) são enzimas que catalisam a hidrólise de epóxidos a seus correspondentes dióis, apresentam potencial aplicação biotecnológica (separação de enantiômeros na produção de fármacos), estão envolvidas no metabolismo de ácidos graxos poliinsaturados e inibidores de EHs estão sendo estudados para possível utilização no tratamento de doenças. Uma enzima epóxido hidrolase (TrEH) do fungo filamentoso Trichoderma reesei QM9414 foi clonada, expressa, purificada e caracterizada funcionalmente e estruturalmente. A atividade de TrEH foi determinada com o substrato óxido de estireno (racêmico), demonstrando maior atividade nas temperaturas de 23 a 50 °C, no pH 7,2 a 37 °C, e as constantes cataliticas Km= 4,6 mM e kcat= 336 s-1. A enzima recombinante mostrou ser enantiosseletiva, pois hidrolisa preferencialmente (S)-(-)-óxido de estireno, (R)-(-)- epicloridrina e (S)-(-)-1,2-epoxibutano. Moléculas inibidoras da atividade de TrEH foram identificadas e algumas delas inibem até 60% o crescimento de T. reesei. A estrutura terciária de TrEH (1,7 Å) foi determinada por cristalografia, apresenta dobramento α/β-hidrolase e não tem alta homologia com nenhuma outra estrutura de EH. TrEH é uma nova enzima epóxido hidrolase solúvel cujas propriedades mostram seu potencial de utilização em aplicações biotecnológicas.\n

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity
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 score0.257
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.253
Teacher spread0.243 · 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 teacher head, not a consensus.

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

Citations0
Published2019
Admission routes1
Has abstractyes

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