Jae Hong Shin

@_jaehongshin_

drug discovery, chemistry, computing: as a scientist knight errant

Seongnam-si, Republic of Korea
Vrijeme pridruživanja: lipanj 2009.

Tweetovi

Blokirali ste korisnika/cu @_jaehongshin_

Jeste li sigurni da želite vidjeti te tweetove? Time nećete deblokirati korisnika/cu @_jaehongshin_

  1. 6. stu 2019.
    Prikaži ovu nit
    Poništi
  2. 6. stu 2019.

    At AI Pharma Korea 2019

    Prikaži ovu nit
    Poništi
  3. proslijedio/la je Tweet
    29. lis 2019.

    Inputs for for the fragment screening portion of our SAMPL7 protein-ligand challenge are now up online, along with additional details! Please RT and check out

    Prikaži ovu nit
    Poništi
  4. proslijedio/la je Tweet
    21. lis 2019.

    ten years ago, this journal was started by David Wild and . Ten years of in cheminformatics. Happy !

    Poništi
  5. proslijedio/la je Tweet
    8. lis 2019.

    Our latest paper introduces the “SAMPLing” challenge, where a variety of codes and methods were used to compute the same binding free energies with the same input files. They don’t agree.

    Poništi
  6. proslijedio/la je Tweet
    2. lis 2019.

    The QsarDB main website received a new design and new documentation section

    Poništi
  7. 1. ruj 2019.

    plans to build SAR for , Anyone know of an available dataset for to play with?

    Poništi
  8. 25. kol 2019.

    Attending to

    Poništi
  9. proslijedio/la je Tweet
    23. kol 2019.
    Poništi
  10. proslijedio/la je Tweet
    10. srp 2019.

    This Elsevier-UC publishing dispute has really caused me to question the value of peer-reviewed journals (in general). I mean: is a months-long thousands-of-dollars process just to have 2-3 reviewers/editor give a (often dubious) stamp of approval really good value?

    Prikaži ovu nit
    Poništi
  11. proslijedio/la je Tweet
    19. lip 2019.

    It's finally live! After an incredible amount of work, our combined experimental-computational study of SETD8 (driven by and ) is up in its final form at ! See what six millseconds of MD simulation can do.

    Prikaži ovu nit
    Poništi
  12. proslijedio/la je Tweet

    Scientific machine learning - proposes scientific AI red teaming to find ways if our assumptions are wrong. Does your model make scientific sense?

    Poništi
  13. proslijedio/la je Tweet
    12. lip 2019.

    Just Accepted from our group - "Robust FEP Protocols for Creating Molecules in Solution" - intended for computation of absolute free energies of solvation and binding -

    Poništi
  14. 7. lip 2019.

    nice molecule generative model benchmarking framework!

    Poništi
  15. proslijedio/la je Tweet

    "Citizen scientists can discover creative new solutions to outstanding scientific challenges such as the protein design problem." Another triumph of

    Poništi
  16. 4. lip 2019.
    Poništi
  17. proslijedio/la je Tweet
    25. svi 2019.

    Kinase inhibitors used to come from aromatic flatlands. Clinical impact was narrow due to unselectivity & limited tolerability. Moving beyond assembling frying pans by integrating elements of chirality now provides exquisitely selective drugs with clinical impact. More examples?

    Poništi
  18. proslijedio/la je Tweet
    10. svi 2019.

    I usually stick to science tweets but this is just too funny

    Poništi
  19. proslijedio/la je Tweet
    25. tra 2019.

    SAMPL6 logP challenge results are now available on our GitHub repo. If you want to attend a May 16 virtual workshop on results, please use this link to indicate interest:

    Poništi
  20. proslijedio/la je Tweet
    18. tra 2019.

    NdCl3, glovebox light vs. natural light. F-elements are definitely the coolest 🤘

    Prikaži ovu nit
    Poništi

Čini se da učitavanje traje već neko vrijeme.

Twitter je možda preopterećen ili ima kratkotrajnih poteškoća u radu. Pokušajte ponovno ili potražite dodatne informacije u odjeljku Status Twittera.

    Možda bi vam se svidjelo i ovo:

    ·