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  2. 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.

  3. Unfolded protein response - Wikipedia

    en.wikipedia.org/wiki/Unfolded_protein_response

    The unfolded protein response (UPR) is a cellular stress response related to the endoplasmic reticulum (ER) stress. [1] It has been found to be conserved between mammalian species, [2] as well as yeast [1] [3] and worm organisms. The UPR is activated in response to an accumulation of unfolded or misfolded proteins in the lumen of the

  4. Generative artificial intelligence - Wikipedia

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

    Generative AI systems trained on words or word tokens include GPT-3, GPT-4, GPT-4o, LaMDA, LLaMA, BLOOM, Gemini and others (see List of large language models). They are capable of natural language processing , machine translation , and natural language generation and can be used as foundation models for other tasks. [ 62 ]

  5. Endoplasmic reticulum resident protein - Wikipedia

    en.wikipedia.org/wiki/Endoplasmic_reticulum...

    ER retention refers to proteins that are retained in the endoplasmic reticulum, or ER, after folding; these are known as ER resident proteins. Protein localization to the ER often depends on certain sequences of amino acids located at the N terminus or C terminus. These sequences are known as signal peptides, molecular signatures, or sorting ...

  6. In order to maintain a standard for Cell and molecular biology articles a standard color scheme should be used. The accepted colors for cellular locations are described in the table. Colors for other components, such as molecules, can be chosen at the discretion of the designer, however, the following should be considered:

  7. Entity–relationship model - Wikipedia

    en.wikipedia.org/wiki/Entity–relationship_model

    Entity–relationship modeling was developed for database and design by Peter Chen and published in a 1976 paper, [2] with variants of the idea existing previously. [3] Today it is commonly used for teaching students the basics of database structure.

  8. FASTA format - Wikipedia

    en.wikipedia.org/wiki/FASTA_format

    In bioinformatics and biochemistry, the FASTA format is a text-based format for representing either nucleotide sequences or amino acid (protein) sequences, in which nucleotides or amino acids are represented using single-letter codes. The format allows for sequence names and comments to precede the sequences.

  9. EIF2AK3 - Wikipedia

    en.wikipedia.org/wiki/EIF2AK3

    9451 13666 Ensembl ENSG00000172071 ENSMUSG00000031668 UniProt Q9NZJ5 Q9Z2B5 RefSeq (mRNA) NM_001313915 NM_004836 NM_010121 NM_001313918 RefSeq (protein) NP_001300844 NP_004827 NP_001300847 NP_034251 Location (UCSC) Chr 2: 88.56 – 88.69 Mb Chr 6: 70.82 – 70.88 Mb PubMed search Wikidata View/Edit Human View/Edit Mouse Eukaryotic translation initiation factor 2-alpha kinase 3, also known as ...