Check out these slides on Caitlin Bannan’s SAMPL6 blind challenge entry on pKa prediction! She spent her summer doing an internship at OpenEye building a machine learning model for pKa prediction, and entered it in the recent SAMPL6 blind prediction challenge. She just spoke today at the OpenEye CUP meeting in Santa Fe on the results, and these are her slides. [More…]
Interested in predicting binding affinities? The SAMPL6 challenge is now live!
The Statistical Assessment of Modeling of Proteins and Ligands (SAMPL) series of blind challenges focuses on driving improvements in molecular modeling; in this sixth iteration of the challenge we have two new sets of host-guest binding data (from Gibb and Isaacs) for a new set of host-guest binding challenges. Additionally, we should shortly (thanks to Merck and the Chodera lab!) [More…]
We’ve been helping to run the Statistical Assessment of Modeling of Proteins and Ligands (SAMPL) series of blind challenges for some time now, but the initiative is still unfunded. I’m excited that our revised grant proposal for the future of SAMPL has just been submitted to the NIH! While I normally wouldn’t post grant proposals, SAMPL is really a community resource, fueled by the community, so here’s a link to our plan for SAMPL’s future. [More…]
We’re super excited about the Statistical Assessment of Modeling of Proteins and Ligand (SAMPL) series of blind challenges, and the potential these have for driving real advancements in modeling in our field. These challenges not only provide an opportunity for blind, prospective testing of our methods, but they also provide a crowdsourcing model to drive innovation. Such approaches have a well-documented history of spurring progress in specific areas, such as in the XPrize, the Netflix Prize, or, closer to our field, the DREAM challenges or CASP for protein structure prediction. [More…]
Plans are starting to shape up for the SAMPL6 blind prediction challenge, coming later this year! (Our overall SAMPL initiative is still unfunded and we need your input, but we are able to proceed with SAMPL6).
SAMPL6 will focus on host-guest binding on some familiar systems, as well as logD prediction with known (provided) pKa values for a series of small organic compounds. [More…]