Evidence map›Paper›PMID 31721260›Full record

ArticleJournal of computational chemistry2020

Optimal designs for pairwise calculation: An application to free energy perturbation in minimizing prediction variability.

Qingyi Yang, Woodrow Burchett, Gregory S Steeno, Shuai Liu, Mingjun Yang, David L Mobley, Xinjun Hou

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  6. To Design Scalable Free Energy Perturbation Networks, Optimal Is Not Enough.Journal of chemical information and modeling · 2023
    Article
  7. Article
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  15. Article
  16. Best Practices for Alchemical Free Energy Calculations [Article v1.0].Living journal of computational molecular science · 2020
    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

7 authors.

Qingyi YangMedicine Design, Worldwide Research & Development, Pfizer Inc. 1 Portland St, Cambridge, Massachusetts, 02139.ORCID 0000-0001-5269-0494
Woodrow BurchettEarly Clinical Development, Worldwide Research & Development, Pfizer Inc. 445 Eastern Point Rd, Groton, Connecticut, 06340.
Gregory S SteenoEarly Clinical Development, Worldwide Research & Development, Pfizer Inc. 445 Eastern Point Rd, Groton, Connecticut, 06340.
Shuai LiuXtalPi Inc. One Broadway, Cambridge, Massachusetts, 02142.
Mingjun YangXtalPi Inc. One Broadway, Cambridge, Massachusetts, 02142.
David L MobleyDepartment of Pharmaceutical Sciences and Department of Chemistry, University of California, 3134B Natural Sciences I, Irvine, California, 92697.
Xinjun HouMedicine Design, Worldwide Research & Development, Pfizer Inc. 1 Portland St, Cambridge, Massachusetts, 02139.

Funding

Computational alchemy for molecular design and optimizationR01GM108889 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2014 to 2022
$2.5M
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 GM108889NIGMS NIH HHS R01 GM124270
6 · The paper itself

Abstract

Pairwise-based methods such as the free energy perturbation (FEP) method have been widely deployed to compute the binding free energy differences between two similar host-guest complexes. The calculated pairwise free energy difference is either directly adopted or transformed to absolute binding free energy for molecule rank ordering. We investigated, through both analytic derivations and simulations, how the selection of pairs in the experiment could impact the overall prediction precision. Our studies showed that (1) the estimated absolute binding free energy (

Indexed as

binding affinitybinding free energydesign topologyexperimental designexperimental errorfree energy perturbationmean squared errorpairwise comparisonperturbation graphSpearman correlation

Identifiers

PMID31721260
PMCPMC6917845

What OpenQuestion holds

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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.