Evidence map›Paper›PMID 27658802›Full record

ReviewJournal of computer-aided molecular design2017

Overview of the SAMPL5 host-guest challenge: Are we doing better?

Jian Yin, Niel M Henriksen, David R Slochower, Michael R Shirts, Michael W Chiu, David L Mobley, Michael K Gilson

Abstract readReview
In one paragraph

Review in Journal of computer-aided molecular design, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 96 papers.

0numbers the graph read from it
0cells of the map it votes in
96citing 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

96 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Committors without Descriptors.Journal of chemical theory and computation · 2026
    Article
  5. Blind Challenges Let Us See the Path Forward for Predictive Models.Journal of chemical information and modeling · 2026
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Multi-Objective Loss Function For Free Energy Calculations.ACM-BCB ... ... : the ... ACM Conference on Bioinformatics, Computational Biology and Biomedicine. ACM Conference on Bioinformatics, Computational Biology and Biomedicine · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Tuning Potential Functions to Host-Guest Binding Data.Journal of chemical theory and computation · 2024
    Article
  16. Article
  17. An overview of the SAMPL8 host-guest binding challenge.Journal of computer-aided molecular design · 2022
    Article
  18. Article
  19. Article
  20. Article

36 more citing papers are in PubMed but not listed here.

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

7 authors.

Jian YinSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
Niel M HenriksenSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
David R SlochowerSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA.
Michael R ShirtsDepartment of Chemical and Biological Engineering, University of Colorado Boulder, Boulder, CO, 80309, USA.
Michael W ChiuQualcomm Institute, University of California, San Diego, La Jolla, CA, 92093, USA.
David L MobleyDepartments of Pharmaceutical Sciences and Chemistry, University of California Irvine, Irvine, CA, 92697, USA.
Michael K GilsonSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, CA, 92093, USA. mgilson@ucsd.edu.

Funding

THEORY AND MODELING OF NONCOVALENT BINDINGR01GM061300 · NIGMS · UNIVERSITY OF MD BIOTECHNOLOGY INSTITUTE · PI GILSON, MICHAEL K. · 2000 to 2021
$7.2M
AN OPEN RESOURCE TO ADVANCE COMPUTER-AIDED DRUG DESIGNU01GM111528 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E, GILSON, MICHAEL K. · 2014 to 2018
$3.6M
Computational alchemy for molecular design and optimizationR01GM108889 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2014 to 2022
$2.5M
NIGMS NIH HHS R01 GM061300NIGMS NIH HHS R01 GM108889NIGMS NIH HHS U01 GM111528
6 · The paper itself

Abstract

The ability to computationally predict protein-small molecule binding affinities with high accuracy would accelerate drug discovery and reduce its cost by eliminating rounds of trial-and-error synthesis and experimental evaluation of candidate ligands. As academic and industrial groups work toward this capability, there is an ongoing need for datasets that can be used to rigorously test new computational methods. Although protein-ligand data are clearly important for this purpose, their size and complexity make it difficult to obtain well-converged results and to troubleshoot computational methods. Host-guest systems offer a valuable alternative class of test cases, as they exemplify noncovalent molecular recognition but are far smaller and simpler. As a consequence, host-guest systems have been part of the prior two rounds of SAMPL prediction exercises, and they also figure in the present SAMPL5 round. In addition to being blinded, and thus avoiding biases that may arise in retrospective studies, the SAMPL challenges have the merit of focusing multiple researchers on a common set of molecular systems, so that methods may be compared and ideas exchanged. The present paper provides an overview of the host-guest component of SAMPL5, which centers on three different hosts, two octa-acids and a glycoluril-based molecular clip, and two different sets of guest molecules, in aqueous solution. A range of methods were applied, including electronic structure calculations with implicit solvent models; methods that combine empirical force fields with implicit solvent models; and explicit solvent free energy simulations. The most reliable methods tend to fall in the latter class, consistent with results in prior SAMPL rounds, but the level of accuracy is still below that sought for reliable computer-aided drug design. Advances in force field accuracy, modeling of protonation equilibria, electronic structure methods, and solvent models, hold promise for future improvements.

Indexed as

Molecular Dynamics SimulationBinding SitesDrug DesignLigandsMolecular StructureProtein BindingProteinsSolventsStructure-Activity RelationshipThermodynamicsLigandsProteinsSolventsBinding affinityBlind challengeComputer-aided drug designHost–guestMolecular recognition

Identifiers

PMID27658802
PMCPMC5241188

What OpenQuestion holds

Textmetadata
LicenceTDM
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 OpenQuestion graph.