Recursos de colección

Caltech Authors (170.931 recursos)

Repository of works by Caltech published authors.

Group = Rosen Center

Mostrando recursos 1 - 2 de 2

  1. Systematic approach for dissecting the molecular mechanisms of transcriptional regulation in bacteria

    Belliveau, Nathan M.; Barnes, Stephanie L.; Ireland, William T.; Jones, Daniel L.; Sweredoski, Michael J.; Moradian, Annie; Hess, Sonja; Kinney, Justin B.; Phillips, Rob
    Gene regulation is one of the most ubiquitous processes in biology. However, while the catalog of bacterial genomes continues to expand rapidly, we remain ignorant about how almost all of the genes in these genomes are regulated. At present, characterizing the molecular mechanisms by which individual regulatory sequences operate requires focused efforts using low-throughput methods. Here, we take a first step toward multipromoter dissection and show how a combination of massively parallel reporter assays, mass spectrometry, and information-theoretic modeling can be used to dissect multiple bacterial promoters in a systematic way. We show this approach on both well-studied and previously...
    (application/pdf; application/pdf; application/pdf) - 21-jun-2018

  2. Learned Protein Embeddings for Machine Learning

    Yang, Kevin K.; Wu, Zachary; Bedbrook, Claire N.; Arnold, Frances H.
    Motivation: Machine-learning models trained on protein sequences and their measured functions can infer biological properties of unseen sequences without requiring an understanding of the underlying physical or biological mechanisms. Such models enable the prediction and discovery of sequences with optimal properties. Machine-learning models generally require that their inputs be vectors, and the conversion from a protein sequence to a vector representation affects the model’s ability to learn. We propose to learn embedded representations of protein sequences that take advantage of the vast quantity of unmeasured protein sequence data available. These embeddings are low-dimensional and can greatly simplify downstream modeling. Results:...
    (application/zip) - 06-jul-2018

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