Evidence map›Paper›PMID 30989574›Full record

ArticleJournal of computer-aided molecular design2019

Evaluating the performance of MM/PBSA for binding affinity prediction using class A GPCR crystal structures.

Mei Qian Yau, Abigail L Emtage, Nathaniel J Y Chan, Stephen W Doughty, Jason S E Loo

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Article in Journal of computer-aided molecular design, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Computational Pipeline for Accelerating the Design of Glycomimetics.Journal of chemical information and modeling · 2025
    Article
  5. Article
  6. Article
  7. Article
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  11. Review
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4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

5 authors.

Mei Qian YauSchool of Pharmacy, Faculty of Health and Medical Sciences, Taylor's University, No. 1 Jalan Taylor's, 47500, Subang Jaya, Selangor, Malaysia.
Abigail L EmtageSchool of Pharmacy, The University of Nottingham Malaysia Campus, Jalan Broga, 43500, Semenyih, Selangor, Malaysia.
Nathaniel J Y ChanSchool of Pharmacy, Faculty of Health and Medical Sciences, Taylor's University, No. 1 Jalan Taylor's, 47500, Subang Jaya, Selangor, Malaysia.
Stephen W DoughtyRCSI and UCD Malaysia Campus, No. 4 Jalan Sepoy Lines, 10450, George Town, Penang, Malaysia.
Jason S E LooSchool of Pharmacy, Faculty of Health and Medical Sciences, Taylor's University, No. 1 Jalan Taylor's, 47500, Subang Jaya, Selangor, Malaysia. JasonSiauEe.Loo@taylors.edu.my.ORCID 0000-0001-6976-3282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent expansion of GPCR crystal structures provides the opportunity to assess the performance of structure-based drug design methods for the GPCR superfamily. Molecular Mechanics/Poisson-Boltzmann Surface Area (MM/PBSA)-based methods are commonly used for binding affinity prediction, as they provide an intermediate compromise of speed and accuracy between the empirical scoring functions used in docking and more robust free energy perturbation methods. In this study, we systematically assessed the performance of MM/PBSA in predicting experimental binding free energies using twenty Class A GPCR crystal structures and 934 known ligands. Correlations between predicted and experimental binding free energies varied significantly between individual targets, ranging from r = - 0.334 in the inactive-state CB

Indexed as

Drug DesignHumansMolecular Docking SimulationMolecular Dynamics SimulationProtein BindingProtein ConformationReceptors, G-Protein-CoupledThermodynamicsReceptors, G-Protein-CoupledBinding affinityDockingGPCRMM/PBSA

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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.