Evidence map›Paper›PMID 36229622›Full record

ArticleJournal of computer-aided molecular design2022

An overview of the SAMPL8 host-guest binding challenge.

Martin Amezcua, Jeffry Setiadi, Yunhui Ge, David L Mobley

Abstract read
In one paragraph

Article in Journal of computer-aided molecular design, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

28 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Review
  7. Article
  8. CACHE Challenge #2: Targeting the RNA Site of the SARS-CoV-2 Helicase Nsp13.Journal of chemical information and modeling · 2025
    Article
  9. Article
  10. The Need for Continuing Blinded Pose- and Activity Prediction Benchmarks.Journal of chemical information and modeling · 2025
    Review
  11. Partially Sulfated Pillar[5]Arenes: Synthesis and Molecular Recognition Properties.Chemistry (Weinheim an der Bergstrasse, Germany) · 2025
    Article
  12. Potential distribution theory of alchemical transfer.The Journal of chemical physics · 2025
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Tuning Potential Functions to Host-Guest Binding Data.Journal of chemical theory and computation · 2024
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Martin AmezcuaDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697, USA.ORCID 0000-0002-4926-6542
Jeffry SetiadiSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California, San Diego, La Jolla, CA, 92093, USA.ORCID 0000-0002-5976-2224
Yunhui GeDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697, USA.ORCID 0000-0002-3946-1440
David L MobleyDepartment of Pharmaceutical Sciences, University of California, Irvine, CA, 92697, USA. dmobley@mobleylab.org.ORCID 0000-0002-1083-5533

Funding

Advancing predictive physical modeling through focused development of model systems to drive new modeling innovationsR01GM124270 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2018 to 2021
$1.5M
NIGMS NIH HHS R01 GM124270
6 · The paper itself

Abstract

The SAMPL series of challenges aim to focus the community on specific modeling challenges, while testing and hopefully driving progress of computational methods to help guide pharmaceutical drug discovery. In this study, we report on the results of the SAMPL8 host-guest blind challenge for predicting absolute binding affinities. SAMPL8 focused on two host-guest datasets, one involving the cucurbituril CB8 (with a series of common drugs of abuse) and another involving two different Gibb deep-cavity cavitands. The latter dataset involved a previously featured deep cavity cavitand (TEMOA) as well as a new variant (TEETOA), both binding to a series of relatively rigid fragment-like guests. Challenge participants employed a reasonably wide variety of methods, though many of these were based on molecular simulations, and predictive accuracy was mixed. As in some previous SAMPL iterations (SAMPL6 and SAMPL7), we found that one approach to achieve greater accuracy was to apply empirical corrections to the binding free energy predictions, taking advantage of prior data on binding to these hosts. Another approach which performed well was a hybrid MD-based approach with reweighting to a force matched QM potential. In the cavitand challenge, an alchemical method using the AMOEBA-polarizable force field achieved the best success with RMSE less than 1 kcal/mol, while another alchemical approach (ATM/GAFF2-AM1BCC/TIP3P/HREM) had RMSE less than 1.75 kcal/mol. The work discussed here also highlights several important lessons; for example, retrospective studies of reference calculations demonstrate the sensitivity of predicted binding free energies to ethyl group sampling and/or guest starting pose, providing guidance to help improve future studies on these systems.

Indexed as

Molecular Dynamics SimulationProteinsEthers, CyclicHumansLigandsPharmaceutical PreparationsProtein BindingResorcinolsRetrospective StudiesThermodynamicscavitandEthers, CyclicLigandsPharmaceutical PreparationsProteinsResorcinolsBinding affinityBlind challengeCucurbiturilFree energyHost–guest bindingOctaacidSAMPL

Identifiers

PMID36229622
PMCPMC9596595

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.