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  2. DNA origami - Wikipedia

    en.wikipedia.org/wiki/DNA_origami

    DNA origami object from viral DNA visualized by electron tomography. [1] The map is at the top and atomic model of the DNA colored below. (Deposited in EMDB EMD-2210) . DNA origami is the nanoscale folding of DNA to create arbitrary two- and three-dimensional shapes at the nanoscale.

  3. AlphaFold - Wikipedia

    en.wikipedia.org/wiki/AlphaFold

    DeepMind is known to have trained the program on over 170,000 proteins from the Protein Data Bank, a public repository of protein sequences and structures.The program uses a form of attention network, a deep learning technique that focuses on having the AI identify parts of a larger problem, then piece it together to obtain the overall solution. [2]

  4. Foldit - Wikipedia

    en.wikipedia.org/wiki/Foldit

    Prof. David Baker, a protein research scientist at the University of Washington, founded the Foldit project.Seth Cooper was the lead game designer. Before starting the project, Baker and his laboratory coworkers relied on another research project named Rosetta [5] to predict the native structures of various proteins using special computer protein structure prediction algorithms.

  5. Nucleic acid structure - Wikipedia

    en.wikipedia.org/wiki/Nucleic_acid_structure

    Sequences can be complementary to another sequence in that the base on each position is complementary as well as in the reverse order. An example of a complementary sequence to AGCT is TCGA. DNA is double-stranded containing both a sense strand and an antisense strand. Therefore, the complementary sequence will be to the sense strand. [4]

  6. Generative artificial intelligence - Wikipedia

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

    Generative AI features have been integrated into a variety of existing commercially available products such as Microsoft Office (Microsoft Copilot), [85] Google Photos, [86] and the Adobe Suite (Adobe Firefly). [87] Many generative AI models are also available as open-source software, including Stable Diffusion and the LLaMA [88] language model.

  7. Text-to-image model - Wikipedia

    en.wikipedia.org/wiki/Text-to-image_model

    A text-to-image model is a machine learning model which takes an input natural language description and produces an image matching that description. Text-to-image models began to be developed in the mid-2010s during the beginnings of the AI boom, as a result of advances in deep neural networks.

  8. College Football Playoff first round showed system is broken ...

    www.aol.com/college-football-playoff-already...

    I refuse to believe that intelligent, resourceful and well-meaning men and women in collegiate sports signed off on a playoff structure so flawed, it makes seven computer dorks holed up in their ...

  9. Nucleic acid structure prediction - Wikipedia

    en.wikipedia.org/wiki/Nucleic_acid_structure...

    Basically, Sankoff algorithm is a merger of sequence alignment and Nussinov [7] (maximal-pairing) folding dynamic programming method. [22] Sankoff algorithm itself is a theoretical exercise because it requires extreme computational resources (O (n3m) in time, and O (n2m) in space, where n is the sequence length and m is the number of sequences).