Skip to content
Branch: master
Find file Copy path
Find file Copy path
Fetching contributors…
Cannot retrieve contributors at this time
167 lines (127 sloc) 16.9 KB


The SAMPL6 Blind Prediction Challenge for Computational Chemistry

This repository gives challenge details and inputs for the SAMPL6 challenge. First part of SAMPL6 phase was composed of host-guest, pKa, SAMPLing challenges which took place between August 2017-January 2018. SAMPL6 Part II log P prediction challenge took place between November 2018 - March 2019. All SAMPL6 challenges have now ended, but the files are maintained here for the record.

This cycle we have migrated the data download package to GitHub so it will be version controlled and more broadly acccessible. Because these files are available publicly, we have no record of who downloads them. Therefore, you should sign up for notifications. Specifically, if you want to receive updates if we uncover any problems, it is imperative that you either (a) sign up for the SAMPL e-mail list via the D3R site, or (b) sign up for notifications of changes to this GitHub repository (the Watch button, above); ideally you would do both. Join our e-mail list by signing up here to receive announcements of all new SAMPL related news, and here to receive all announcements specific to SAMPL6 and the current log P prediction challenge.

The first part of SAMPL6 challenge culminated with a joint D3R/SAMPL workshop in La Jolla, CA., Feb. 22-23, 2018. A special issue of JCAMD was organized with a submission deadline of June 1, 2018.

SAMPL6 Part II will include a octanol-water log P prediction challenge and will be followed by a joint D3R/SAMPL workshop in San Diego, Aug 22-23, 2019, immediately before the San Diego ACS National Meeting. A special issue or special section of JCAMD will be organized to disseminate the results of this challenge.

What's Here

What will be in a future challenge

The SAMPL project was recently funded by the National Institutes of Health, for which we are very grateful. We will be updating our project roadmaps and timelines shortly and making them available to the community as soon as possible.

Changes and Data Set Versions So Far:

(all major versions available under releases above)

Release versions

  • Version 1.0: Data set as originally posted Aug. 24
  • Version 1.1: Updates to reflect corrected CB8 phosphate buffer concentration; adds input files (and scripts) from Andrea Rizzi for host-guest challenge reference calculations; adds physical_properties with preview information on the potential physical properties component of the challenge.
  • Version 1.2: Adds host-guest SAMPLing challenge explanation and inputs, describes these in README files; adds draft submission files for host-guest predictions in host_guest/(hostname)AndGuests directories; updates the discussion of the physical property challenge to reflect the current status.
  • Version 1.3: Add pKa prediction challenge instructions, input files, submission template files, update on the future plans of logD challenge.
  • Version 1.4: Update microstate lists of pKa challenge.
  • Version 1.5: Update microstate lists of pKa challenge. Clarification to pKa microstate definition: Resonance structures or geometric isomers with the same bound hydrogen pattern do not constitute different microstates. Add canonical SMILES column to microstate list files. Add suggested microstate pairs for physically meaningful microscopic pKas for type I submissions.
  • Version 1.6: Corrects outdated CB8 sodium phosphate buffer concentration which appeared in an image (it was already correct in the text); include input files converted to other formats; fixes a compound name for one CB8 compound; corrects a pKa microstate; fixes a submission template issue.
  • Version 1.7: Update microstate lists of pKa challenge. Add new microstate IDs for SM18 and SM20.
  • Version 1.8: Update microstate lists of pKa challenge. Add new microstate ID for SM10.
  • Version 1.9: Include experimental measurements for the pKa challenge and the binding host-guest challenge.
  • Version 1.10: Include the analysis of binding host-guest, pKa, and SAMPLing challenge, as well as microstate characterization of SM07 with NMR experiments.
  • Version 1.11: Includes NMR data for SM14, adds additional error analysis, paper figures, improves organization of repo, and clarifications of README and other information in various places. Also added Zenodo integration to trigger DOIs for releases.
  • Version 1.12: Update of the SAMPLing analysis.
  • Version 1.13: SAMPL6 Part II - Instructions for log P challenge posted.
  • Version 1.14: SAMPL6 Part II - Announcement that log P challenge submissions opened. Instructions on how to submit prediction files through D3R SAMPL webpage added to log P challenge instructions.
  • Version 1.15: SAMPL6 Part II - Include experimental measurements for the log P challenge.
  • Version 1.16: SAMPL6 Part II - Add evaluation of log P predictions(physical_properties/logP/analysis/)

Changes not yet in a release

  • Molecular statistics analysis added for SAMPL6 Part II logP Challenge. This analysis was performed to indicate logP values of which molecules of SAMPL6 logP Challenge set were more difficult for methods to predict accurately.
  • Information about SAMPL6 Virtual Workshop and JCAMD special issue for log P challenge were added to
  • JCAMD special issue paper submission deadline was extended to Oct. 15, 2019 for log P challenge.
  • (Post-challenge) Concentrations for certain CB8 host-guest titrations, as requested by participants.
  • (Post-challenge) Add reference calculations done by the Mobley lab, and separate analysis of those reference calculations.
  • (Post-challenge) Add Kendall's Tau calculation to log P challenge analysis.
  • (Post-challenge) Update pKa challenge type III analysis: add unmatched pKa statistics, new reference calculations, and performance comparison plots colored by method.
  • (Post-challenge) Update pKa challenge type I analysis: add unmatched pKa statistics, new reference calculations, and performance comparison plots colored by method.
  • (Post-challenge) Add reference calculation done by Thomas Fox (empirical logP prediction methods).
  • (Post-challenge) Expanded analysis of reference methods with extra molecules set. The "extra molecules" dataset is composed of potentiometric log P values of 27 small molecules published by Slater et al. (1994).
  • (Post-challenge) Add logP challenge analysis with reassigned method categories and a null submission.

Challenge Overview

(This is reproduced from the SAMPL6 Website)

SAMPL6 includes challenges based on aqueous host-guest binding data (binding free energies and, optionally, binding enthalpies) for three different host molecules; and on physical properties (pKas, partition coefficients), for a set of fragment-like molecules. The host-guest systems are useful to test simulation methods, force fields, and solvent models, in the context of binding, without posing the setup issues and computational burden of protein simulations. The physical properties offer efficient tests of force field accuracy when detailed simulations are used, and can also test pKa prediction methods, continuum solvation models, and knowledge-based prediction methods. SAMPL6 will also introduce a new challenge component, the “SAMPLing challenge”, in which computational methods will be evaluated on how efficiently their calculations approach well-converged reference results generated by the organizers. Participants will be provided with machine readable setup files for the molecular systems, including force field setups, along with recommended cutoffs and treatments of long-ranged interactions. The SAMPLing challenge is expected to include one or more cases from each challenge component (host-guest binding on each system; log D calculation).

Further information on both the host-guest and physical property components of SAMPL6 follow.

Thanks to Drs. Bruce Gibb (Tulane U.) and Lyle Isaacs (U. Maryland) for providing the host-guest data, Andrea Rizzi for SAMPLing challenge data, and Dr. John Chodera, Mehtap Isik and collaborators from Merck (Dorothy Levorse, Timothy Rhodes, Ikenna Ndukwe) for the physicochemical property data sets (pKa and logP).

Gibb Deep Cavity Cavitand (Octa Acids) binding of guests

One host-guest series is based on the Gibb Deep Cavity Cavitands (GDCCs), or octa-acids, previously used in SAMPL4 and SAMPL5. The two hosts, OA and TEMOA (previously OAH and OAME) are identical, except that TEMOA has four additional methyl groups, which alter the shape and depth of the hydrophobic cavity. Both were developed in the laboratory of Dr. Bruce Gibb (Tulane U), who will provide binding free energies and enthalpies, measured by ITC, for eight guest molecules interacting with each host. The measurements are done in 10 mM sodium phosphate buffer at pH 11.7 ± 0.1, and T = 298 K. Host OA is described here: doi:10.1021/ja200633d; and host TEMOA is described here doi:10.1007/s10822-013-9690-2. There are also a number of papers from SAMPL4 and SAMPL5 which discuss calculations for these systems, as summarized, respectively, in doi:10.1007/s10822-014-9735-1 and doi:10.1007/s10822-016-9974-4. Existing benchmark datasets based on these hosts also may be of interest for those preparing to tackle these new complexes:; this perpetual review paper also provides a good introduction to the sampling and experimental issues which are known to be relevant in these systems.

Cucubit[8]uril (CB8) binding of guests

This host-guest series is based on the host cucurbit[8]uril (CB8), which was used in SAMPL3, as previously summarized (DOI 10.1007/s10822-012-9554-1). CB8 is the eight-membered relative of cucurbit[7]uril, which was used in several other prior SAMPL challenges. Data will be provided for ~14 guests, including several FDA approved drugs. Background information on CB8 may be found in a number of publications, including DOI 10.1021/jp2110067, 10.1002/chem.201403405, and 10.1021/ja055013x.

Physical properties

Due to experimental issues, the upcoming SAMPL6 physical property challenge is being split into two phase. The first phase, for SAMPL6, focused on pKa prediction and culminated with a joint D3R/SAMPL Workshop in La Jolla, CA., Feb. 22-23, 2018. The second phase of the challenge, SAMLPL6 Part II, is centering on predicting partition coefficients (log P) of a subset of small molecules from SAMPL6 pKa challenge. SAMPL6 Part II logP challenge will be discussed in joint D3R/SAMPL workshop in San Diego, Aug 22-23, 2019.

pKa prediction

This challenge consists of predicting microscopic and macroscopic pKas of 24 small organic molecules. These fragment-like small molecules are selected for their similarity to kinase inhibitors and for experimental tractability. Our aim is to evaluate how well current pKa prediction methods perform with drug fragment-like molecules through blind predictions. This is the first time a pKa prediction challenge is being conducted as a part of SAMPL.

Three formats of pKa prediction results will be evaluated:

  1. microscopic pKa values and related microstates
  2. microstate populations as a function of pH
  3. macroscopic pKa values

Detailed instructions for the pKa challenge can be found here:

Challenge start date: Oct 25, 2017
Challenge submission due: Jan 23, 2018

Experimental pKa measurements were added to this repository after the pKa challenge deadline and can be found here: physical_properties/pKa/experimental_data/

Performance evaluation of pKa challenge can be found here: /physical_properties/pKa/analysis/

log P prediction

This challenge consists of predicting the octanol-water partition coefficients (log P) of 11 small molecules that resemble fragments of small molecule protein kinase inhibitors. Our aim is to evaluate how well current models can capture the transfer free energy of small molecules between different solvent environments through blind predictions.

Challenge start date: Nov 1, 2018
Challenge submissions due: Mar 22, 2019

Detailed instructions for the logP challenge can be found here:

Experimental log P measurements were added to this repository after the log P challenge deadline and can be found here: physical_properties/logP/experimental_data/

Performance evaluation of log P challenge can be found here: physical_properties/logP/analysis/

SAMPLing challenge

The purpose of the SAMPLing challenge component is to evaluate and compare the performance of different sampling methodologies in the context of free energy calculations of biomolecular systems. Participants are invited to compute the free energy of binding of few host-guest systems taken from the main SAMPL6 challenge. We will be running extremely long calculations with the provided input files in an attempt to obtain "gold standard" results, and then assess how well different methods approach/converge to these results. See for more details.

This SAMPLing challenge is a bit of an experiment, as it is entirely possible that different methods/packages may not agree even when apparently converged, requiring participating groups to work together to track down discrepancies. However, if agreement is obtained, it should be very instructive to compare the rate of convergence. We expect that analysis of this challenge component will focus even more than usual on "lessons learned" rather than on which methods performed "best" by some metric, but we hope it will also pave the way for future iterations of such challenges.

The SAMPL special issue

We have arranged for a SAMPL special issue to appear in the Journal of Computer-Aided Molecular Design, thanks to editor Terry Stouch. The submission deadline of first SAMPL6 special issue was June 1, 2018. David Mobley will serve as guest editor for the SAMPL6 special issue. Please submit on-time; the goal is to publish before the end of 2018.

To submit:

  1. If you don't already have an account with JCAMD, register with JCAMD at:
  2. In your title, please include SAMPL6 and use them as keywords if possible
  3. During submission you will be asked to select an article "type." Please select the issue’s assigned article type, e.g. "SI:SAMPL6"
  4. Submit on time!
  5. Review fellow participant's papers (promptly please) as requested. Some of the best reviewers of the challenges are those who participate and understand the nature of the papers. Fellow participants are most familiar with the topic and have a vested interest in moving the paper quickly, hence many/most of the reviewers will chosen from participants.
  6. Please submit reviews (or your revisions) ASAP to help maintain our chosen publication dates.

A second special issue of SAMPL6 Part II log P prediction challenge will be organized targeting September 15, 2019, for paper submissions. This will occur shortly after the workshop, so to allow people to prepare, a virtual workshop will be planned earlier in the year, on May 16, 2019, closer to the submission deadline.

You can’t perform that action at this time.