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Enregistrement W2164303016 · doi:10.1071/ch09017

Carbohydrate Research in the 20th Century

2009· article· en· W2164303016 sur OpenAlexaboutno aff
S. J. Angyal

Notice bibliographique

RevueAustralian Journal of Chemistry · 2009
Typearticle
Langueen
DomaineMedicine
ThématiqueDiet, Metabolism, and Disease
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésBiocatalysisChemistrySupramolecular chemistryCarbohydrateGreen chemistryIonic liquidCatalysisOrganic chemistryCrystal structure

Résumé

récupéré en direct d'OpenAlex

Robert V. Stick is a carbohydrate chemist; and so am I. Carbohydrate chemistry is a special branch of organic chemistry. The carbohydrates differ from the common organic chemicals in many ways: they do not dissolve in organic solvents, they cannot be distilled; and when a pure sugar is dissolved in water, a solution results that contains six different compounds. Carbohydrate chemists have their own journals and textbooks. Carbohydrate chemistry did not develop until the end of the 19th century; then Emil Fischer[1] determined the structures and configuration of all the simple sugars, established conversions, and studied their reactions. I worked for my Ph.D. degree in sugar chemistry with Zemplen, a former student of Fischer; he was not a brilliant chemist, and was a poor supervisor. When I completed my degree, I decided not to work on sugars any more: I thought that the problems there had already been solved by Fischer himself and his team. I went into the pharmaceutical industry. But soon I realised that my judgment was not right: there was plenty to learn still about the properties of sugars. Thus, we did not know why d-glucose is mainly in the β-pyranose form but d-mannose mainly the α-pyranose. Why does the equilibrium of d-glucose contains very little furanose but that of d-idose quite a lot? Why do some sugars readily form a 1,6-anhydride but others do not? When I obtained a university position in 1946, I returned to carbohydrate chemistry. In the middle of the century, three new methods revolutionized carbohydrate chemistry: NMR spectroscopy,[2] X-ray crystallography,[3] and conformational analysis.[4] NMR spectroscopy allowed the determination of the exact proportions of isomers in equilibrium; the X-ray method indicated the exact shapes of the molecules; and conformational analysis supplied the explanations and allowed predictions of behaviour. It became now much easier to deal with the structures and synthesis of complex carbohydrates, such as oligosaccharides and glycosides. And synthesis has been improved by new methods and new reagents, and by better control of conditions. Separation methods were also improved, for example chromatography – originally an analytical technique – was turned into an efficient method of preparative separation. When Stick established his group in the Department of Chemistry at the University of Western Australia his collaborators and Ph.D. students carried out a range of reactions with a variety of sugars. Many of the compounds thus obtained were natural products, but others were artefacts. These, of course, were compounds of interest to biochemists because they could be tested for potential biological activity. Soon many papers appeared on the biochemical behaviour of sugar derivatives. By now, there were biochemists in some chemistry departments and chemists in some biochemistry departments. Ideally, close cooperation was desired between them but, in fact, was seldom achieved. In most universities, the chemistry and the biochemistry departments are in different faculties and not even close to each other. [In my case, the two schools do not even inform each other of their seminars.] By contrast, by the time of the retirement of Robert Stick in 2008, his department had been renamed the School of Biomedical, Biomolecular and Chemical Sciences. The changes in carbohydrate chemistry are easily surveyed by looking at two sources of information: the series Advances in Carbohydrate Chemistry, published annually since 1945, and the programs of the International Symposia on Carbohydrate Chemistry, held biennially since 1960. The Advances contain chapters of current interest on carbohydrates; the symposia consist of talks on subjects in which work was currently carried out. Both indicate which way carbohydrate research is moving. Both organizations realised how much it was tending towards biochemistry. In 1989 Advances in Carbohydrate Chemistry added the words ‘and Biochemistry’ to its title; in 1980, the Symposia made room for biochemistry in the opposite way by omitting in Vancouver the word ‘Chemistry’ and becoming International Carbohydrate Symposia. Neither of these bodies used the term ‘Glycoscience’, much liked by some of the biochemists. [However, a recent book on carbohydrate chemistry and biochemistry is entitled Glycoscience; Chemistry and Chemical Biology. It contains more than 9000 references!] At the Symposium in Hamburg (in 2000), about one-third of the presented papers and the posters were on biochemistry and biotechnology. By then, interest in carbohydrates had grown very much: there were almost 1000 talks and posters presented. At the latest Symposium, in 2007 in Oslo, again about onethird of the papers and posters were on biochemical subjects. Curiously, the proportion was smaller for the plenary and invited lectures; apparently there were few biochemists on the organizing committee. Unfortunately, Robert Stick missed this meeting, his first absence in over 20 years. All this development affected Robert Stick’s interest and research too. Most of his work was published in the Australian Journal of Chemistry but gradually shifted to journals of

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,001
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Expérimental (laboratoire) · Signal consensuel: Expérimental (laboratoire)
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,412
Score d'incertitude au seuil0,452

Scores Codex et Gemma par catégorie

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

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 Opus0,065
Tête enseignante GPT0,379
Écart entre enseignants0,313 · 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 tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeExpérimental (laboratoire)
Domainenon disponible
GenreEmpirique

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

En bref

Citations2
Publié2009
Routes d'admission1
Résumé présentoui

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Même revueAustralian Journal of ChemistryMême sujetDiet, Metabolism, and DiseaseTravaux en français237 207