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Enregistrement W3175740007 · doi:10.1093/plcell/koab143

Circular permutation of concanavalin A: why the rarest protein modification in nature came to be

2021· letter· en· W3175740007 sur OpenAlexaff
Brendan M. O’Leary

Notice bibliographique

RevueThe Plant Cell · 2021
Typeletter
Langueen
DomaineBiochemistry, Genetics and Molecular Biology
ThématiqueBiochemical and Structural Characterization
Établissements canadiensAgriculture and Agri-Food Canada
Organismes subventionnairesnon disponible
Mots-clésBiologyConcanavalin APermutation (music)BiochemistryPhysics

Résumé

récupéré en direct d'OpenAlex

Circular permutation is a concept that means rearranging the order of elements placed around a circle. This is relevant to biology because many proteins have their termini located close together in 3D space, thus mimicking a highly twisted yet closed loop. With regards to structure, where a protein begins and ends (the position of its N- and C-termini, respectively) may be less important for folding and function than the ordering of amino acids and domains around the loop. Thus, you can sometimes produce almost the same protein structure from two very differently ordered linear protein sequences (see Figure A). Such protein circular permutations have in fact arisen hundreds of time in nature, where protein domains are reordered at the DNA level but maintain their circular order and 3D structure at the protein level. Intriguingly, there is but one known example in nature of a protein undergoing circular permutation after it has been translated – and that is the story of concanavalin A (conA). ConA is a lectin (a carbohydrate-binding protein) that accumulates to high levels in seeds of the jack bean (Canavalia ensiformis). Although conA is widely used in carbohydrate affinity chromatography to separate glycoproteins and polysaccharides, its actual biological function in jack bean is unclear. Following translation, pro-conA undergoes a unique series of peptide cleavages and a transpeptidation reaction, resulting in a circular permutation of the mature conA (Figure B). Despite a detailed understanding of mature conA structure and its biophysical properties, the reasons for the evolution of such unusual post-translational modifications are unknown. In this issue, Nonis et al. (2021b) address this question by characterizing the 3D structure and biophysical properties of pro-conA in comparison to conA. Solving the pro-conA crystal structure revealed that its individual subunit (tertiary) structure was very similar to conA, including the folding of the functionally important carbohydrate-binding domains and metal-ligand-binding sites. And the carbohydrate-binding affinities of pro-conA relative to conA didn’t change when tested with mannose. However, conA typically exists as a dimer of dimers, and there were structural differences at the intermolecular interfaces of pro-conA that appeared to affect its dimer-dimer interactions. Indeed, analytical ultracentrifugation experiments revealed that the well-characterized pH-dependent shift in the dimer-tetramer equilibrium of conA was absent in pro-conA. Circular dichroism analysis then demonstrated that pro-conA is less stable than conA at low pH and at high temperature. These structural findings all indicated the cleavage and circular permutation of pro-conA provides a functional benefit in the form of greater protein stability. Questions remained about how the complicated post-translational processing of pro-conA could have evolved. Using an in vitro reaction assay, the authors demonstrated that a single asparagine endopeptidase, CeAEP1, is capable of catalyzing all the peptide cleavage and transpeptidation reactions that convert pro-conA to conA. Previous studies had demonstrated that CeAEP1 favors cleavage rather than transpeptidation for substrates other than conA (Bernath-Levin et al., 2015); therefore, the improved transpeptidation efficiency toward pro-conA shows that catalytic preference of CeAEP1 is substrate-dependent. Upon solving the crystal structure for CeAEP1 and comparing it to other structural models for asparaginyl endopeptidases (Haywood et al., 2018), the authors were able to provide new insights into the enzymatic basis for CeAEP1’s specific transpeptidation activity towards conA. Understanding the biochemistry behind the transpeptidation activities of asparagine endopeptidases greatly facilitates their use as valuable tools to modify polypeptide structure in the fields of protein engineering and synthetic biology (Nonis et al., 2021a). Circular permutation of conA. A, Circular permutation of proteins involves considering protein structure as a loop, then relocating the N and C termini within the polypeptide sequence without altering the sequential arrangement of folding domains. B, The post-translational processing of pro-conA by CeAEP1 Adapted from Nonis et al. (2021b), Figure 1. Circular permutation of conA. A, Circular permutation of proteins involves considering protein structure as a loop, then relocating the N and C termini within the polypeptide sequence without altering the sequential arrangement of folding domains. B, The post-translational processing of pro-conA by CeAEP1 Adapted from Nonis et al. (2021b), Figure 1.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,006
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,013
Score d'incertitude au seuil0,020

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0020,006
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,003
Communication savante0,0010,002
Science ouverte0,0010,001
Intégrité de la recherche0,0130,013
Charge utile insuffisante (le modèle a refusé de juger)0,0010,001

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,015
Tête enseignante GPT0,214
Écart entre enseignants0,199 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeSans objet
Domainenon disponible
GenreÉditorial

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations3
Publié2021
Routes d'admission1
Résumé présentnon

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