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  2. Unfolded protein response - Wikipedia

    en.wikipedia.org/wiki/Unfolded_protein_response

    A simplified diagram of the processes involved in protein folding. The polypeptide is translated from its ribosome directly into the ER, where it is glycosylated and guided through modification steps to reach its desired conformation. It is then transported from the ER to the Golgi apparatus for final modifications.

  3. Transmembrane protein - Wikipedia

    en.wikipedia.org/wiki/Transmembrane_protein

    The implications for the division in the four types are especially manifest at the time of translocation and ER-bound translation, when the protein has to be passed through the ER membrane in a direction dependent on the type. [citation needed] Group I and II transmembrane proteins have opposite final topologies.

  4. Generative artificial intelligence - Wikipedia

    en.wikipedia.org/wiki/Generative_artificial...

    Above: An image classifier, an example of a neural network trained with a discriminative objective. Below: A text-to-image model, an example of a network trained with a generative objective. Since its inception, the field of machine learning used both discriminative models and generative models, to model and predict data.

  5. Endoplasmic reticulum - Wikipedia

    en.wikipedia.org/wiki/Endoplasmic_reticulum

    The transitional ER gets its name because it contains ER exit sites. These are areas where the transport vesicles which contain lipids and proteins made in the ER, detach from the ER and start moving to the Golgi apparatus. Specialized cells can have a lot of smooth endoplasmic reticulum and in these cells the smooth ER has many functions. [5]

  6. Generative pre-trained transformer - Wikipedia

    en.wikipedia.org/wiki/Generative_pre-trained...

    Generative pretraining (GP) was a long-established concept in machine learning applications. [16] [17] It was originally used as a form of semi-supervised learning, as the model is trained first on an unlabelled dataset (pretraining step) by learning to generate datapoints in the dataset, and then it is trained to classify a labelled dataset.

  7. Glossary of biology - Wikipedia

    en.wikipedia.org/wiki/Glossary_of_biology

    This glossary of biology terms is a list of definitions of fundamental terms and concepts used in biology, the study of life and of living organisms.It is intended as introductory material for novices; for more specific and technical definitions from sub-disciplines and related fields, see Glossary of cell biology, Glossary of genetics, Glossary of evolutionary biology, Glossary of ecology ...

  8. OpenAI unveils newest AI model, GPT-4o - AOL

    www.aol.com/openai-unveils-newest-ai-model...

    The new model, called GPT-4o, is an update from the company’s previous GPT-4 model, which launched just over a year ago. The model will be available to unpaid customers, meaning anyone will have ...

  9. Ribbon diagram - Wikipedia

    en.wikipedia.org/wiki/Ribbon_diagram

    Ribbon diagrams, also known as Richardson diagrams, are 3D schematic representations of protein structure and are one of the most common methods of protein depiction used today. The ribbon depicts the general course and organization of the protein backbone in 3D and serves as a visual framework for hanging details of the entire atomic structure ...