chatGPT4 has reproduced my lection plan, which it had no access to.
На вопрос о преимуществах и недостатках баз данных гликозилтрансфераз, чат гопоты версии 4 сгенерировал текст, практически полностью повторяющий план моей лекции на эту тему, с точностью до порядка пунктов. Предварительных ласк не было, это первый же запрос.
NB: в интернете и научной литературе есть и другие мнения и другая расстановка приоритетов.
NB2: план моей лекции в явном виде не публиковался, но по частям его можно извлечь из introductions к статьям.
PS: не с растровых слайдов (в интернете) же он это вытащил?!
PPS: заставить его придумать ссылки не удалось.
PPPS: иллюстрация к посту сгенерирована другой сетью (Stable Diffusion 2.1)
PROMPT:
Mini-Review on Advances and Drawbacks of Current Databases of Glycosyltransferases
RESPONSE:
Glycosyltransferases (GTs) are enzymes involved in the biosynthesis of glycoconjugates (such as glycans and glycoproteins), which play a crucial role in many biological processes. To facilitate research in this field, several databases of GTs have been developed. In this mini-review, we will discuss some of the advances and drawbacks of current databases of GTs.
Advances:
1. Comprehensive coverage
Current databases of GTs provide comprehensive information on the available glycosyltransferase sequences, structures, and functions. They cover GTs from various organisms and provide valuable information on their glycan substrates, acceptor specificities, and product structures.
2. User-friendly interfaces Most databases of GTs have user-friendly interfaces that allow users to search for GTs based on various criteria (e.g. sequence, structure, function).
3. Integration with other resources Many databases of GTs are integrated with other resources, such as protein sequence or structure databases, pathway databases, and ontology resources. Integration with other resources can facilitate the interpretation of data and the generation of new hypotheses.
Drawbacks:
1. Incomplete coverage Although current databases of GTs provide comprehensive coverage of GTs from various organisms, the coverage is still incomplete. Many GTs remain uncharacterized or poorly characterized, and thus are not included in the databases.
2. Lack of standardization There is currently a lack of standardization in the nomenclature and classification of GTs. This makes it difficult to compare information across different databases and to identify homologous GTs.
3. Variable data quality The quality of data in different databases of GTs can vary widely, depending on the source of the data and the curation process. This variability can make it difficult to determine the reliability of the data and to make accurate predictions based on the data.
In spite of these drawbacks, current databases of GTs represent a valuable resource for researchers interested in the biosynthesis of glycoconjugates. In the future, efforts to address the limitations of current databases and to develop ...lost connection to AI server...
#chatGPT4 #science
