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  1. proslijedio/la je Tweet
    27. sij

    An unexpectedly large number of non-oncology drugs can kill cancer cells, according to a new study in .

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  2. proslijedio/la je Tweet
    26. sij

    I present Love Thy Nearest Neighbor: a Markov chain generator trained on the King James Bible and Kevin Murphy’s Machine Learning: A Probabilistic Perspective. Behold...

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  3. proslijedio/la je Tweet
    16. sij

    We propose that that an epigenome has evolved through a process analogous to Darwinian evolution: random loss and gain of methylation together with natural selection.

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  4. proslijedio/la je Tweet
    17. sij
    Odgovor korisniku/ci

    Is key ingredient in evolutionary couplings ? As in first successful 3D folding

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  5. proslijedio/la je Tweet
    17. sij

    Disappointed that didn’t get references quite right- first was

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  6. proslijedio/la je Tweet
    13. pro 2019.

    Evolution experiments as a way to generate statistical information to determine protein structure:

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  7. proslijedio/la je Tweet
    13. pro 2019.

    Come speak to Nathan Rollins and me about our work in progress discovering diverse sequences that maximize any given protein function predictor at LMRL!

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  8. proslijedio/la je Tweet
    9. pro 2019.

    Classifiers are secretly energy-based models! Every softmax giving p(c|x) has an unused degree of freedom, which we use to compute the input density p(x). This makes classifiers into generative models without changing the architecture.

    , , i još njih 2
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  9. proslijedio/la je Tweet
    14. pro 2019.

    Congrats to Generate Bio , @YangKevinK, , the next breakthrough in .

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  10. proslijedio/la je Tweet
    11. pro 2019.
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  11. proslijedio/la je Tweet
    26. stu 2019.

    Super excited about our latest, Visual Cell Sorting! Pooled optical screens and much more! Congrats and thanks to all involved, and hat tip to who inspired us at a meeting years ago!

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  12. proslijedio/la je Tweet
    11. ruj 2019.

    Our new paper is out today. We used CRISPR to uncover some really striking findings with several drugs and drug targets in clinical trials. Also, we accidentally found the first-ever inhibitor of the cyclin-dependent kinase CDK11.

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  13. proslijedio/la je Tweet
    6. ruj 2019.

    Great work by members of my group - nanobody design too

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  14. proslijedio/la je Tweet
    5. ruj 2019.

    Preprint of great work by my former colleagues Adam, June, and Aaron in lab! They build an autoregressive model (read: input seq's need not be aligned) of protein families, then predict mutation effects & design new proteins from their model

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  15. 28. lip 2019.
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  17. proslijedio/la je Tweet
    18. lip 2019.

    Using extensive protein mutagenesis and the resulting epistasis networks to infer three-dimensional protein structures:

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  18. proslijedio/la je Tweet

    Out of the millions of proteins thought to exist, only the structures of about 150,000 have been unraveled. New research is looking at ways to untangle the painstaking process.

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  19. proslijedio/la je Tweet
    19. lip 2019.

    Want to join us (postdoc or student) to apply this to your favourite problem? To develop general experimental methods for in vivo structure determination? To understand prions, aggregation and disordered proteins? Genotype-phenotype maps and regulatory networks? Email! Pls RT

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  20. proslijedio/la je Tweet
    19. lip 2019.
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