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Record W2103412476 · doi:10.2174/092986611794927901

Site-Directed Mutagenesis to Identify Key Residues in Structure-Function Relationship of Winged Bean Chymotrypsin-Trypsin Inhibitor and 3-D Structure Prediction

2011· article· en· W2103412476 on OpenAlexfundno aff
Sanhita Roy, Chhabinath Mandal, Samir Kr. Dutta

Bibliographic record

VenueProtein and Peptide Letters · 2011
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicInsect Resistance and Genetics
Canadian institutionsnot available
FundersPetroleum Technology Research CentreCouncil of Scientific and Industrial Research, India
KeywordsTrypsinChymotrypsinProteasesBiochemistrySerineSite-directed mutagenesisSerine proteaseProteaseMutantMutagenesisTrypsin inhibitorEnzymeChemistryKunitz STI protease inhibitorBiologyMolecular biologyGene

Abstract

fetched live from OpenAlex

Winged bean chymotrypsin trypsin inhibitor (WbCTI) is a Kunitz type serine protease inhibitor that inhibits both trypsin and chymotrypsin at 1:1 molar ratio. Site-directed mutagenesis study was employed to generate two mutants of WbCTI, with an aim to explore its dual inhibitory properties against the proteases. The mutants were expressed in Escherichia coli and, were purified to homogeneity using a single step immunoaffinity column. The two mutants, each containing a single mutation at the amino acid sequence positions of 63 and 64, were named as L63A and R64A, respectively. Purified L63A-WbCTI exhibited anti-trypsin activity with no anti-chymotrypsin activity whereas R64A-WbCTI could inhibit chymotrypsin but not trypsin. To investigate the binding interactions between the mutated forms of WbCTI with the putative proteases, binding studies were carried out using gel filtration chromatography which further confirmed the formation of enzyme-inhibitor complexes. Finally, 3D model structure of WbCTI was designed using computer simulations which further emphasize the roles of L63 and R64 residues for dual inhibitory characteristics of WbCTI.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.412
Threshold uncertainty score0.677

Codex and Gemma teacher scores by category

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)0.0000.000

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 head0.011
GPT teacher head0.223
Teacher spread0.212 · 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.

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

Citations2
Published2011
Admission routes1
Has abstractyes

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