Evidence map›Paper›PMID 30941533›Full record

ArticleJournal of cheminformatics2019

QligFEP: an automated workflow for small molecule free energy calculations in Q.

Willem Jespers, Mauricio Esguerra, Johan Åqvist, Hugo Gutiérrez-de-Terán

Open access · goldAbstract read
In one paragraph

Article in Journal of cheminformatics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

41 citing papers in PubMed, 84 citations in OpenAlex.

  1. Article
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  5. Article
  6. Article
  7. Review
  8. Article
  9. Article
  10. Integrating Machine Learning into Free Energy Perturbation Workflows.Journal of chemical information and modeling · 2025
    Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. How to Sample Dozens of Substitutions per Site with λ Dynamics.Journal of chemical theory and computation · 2024
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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 at 1 institution in 1 country.

Willem JespersDepartment of Cell and Molecular Biology, Uppsala University, Uppsala, 75124, Sweden.ORCID http://orcid.org/0000-0002-4951-9220
Mauricio EsguerraDepartment of Cell and Molecular Biology, Uppsala University, Uppsala, 75124, Sweden.ORCID http://orcid.org/0000-0002-1775-586X
Johan ÅqvistDepartment of Cell and Molecular Biology, Uppsala University, Uppsala, 75124, Sweden.ORCID http://orcid.org/0000-0003-2091-0610
Hugo Gutiérrez-de-TeránDepartment of Cell and Molecular Biology, Uppsala University, Uppsala, 75124, Sweden. hugo.gutierrez@icm.uu.se.ORCID http://orcid.org/0000-0003-0459-3491
Uppsala University · SE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The process of ligand binding to a biological target can be represented as the equilibrium between the relevant solvated and bound states of the ligand. This which is the basis of structure-based, rigorous methods such as the estimation of relative binding affinities by free energy perturbation (FEP). Despite the growing capacity of computing power and the development of more accurate force fields, a high throughput application of FEP is currently hampered due to the need, in the current schemes, of an expert user definition of the "alchemical" transformations between molecules in the series explored. Here, we present QligFEP, a solution to this problem using an automated workflow for FEP calculations based on a dual topology approach. In this scheme, the starting poses of each of the two ligands, for which the relative affinity is to be calculated, are explicitly present in the MD simulations associated with the (dual topology) FEP transformation, making the perturbation pathway between the two ligands univocal. We show that this generalized method can be applied to accurately estimate solvation free energies for amino acid sidechain mimics, as well as the binding affinity shifts due to the chemical changes typical of lead optimization processes. This is illustrated in a number of protein systems extracted from other FEP studies in the literature: inhibitors of CDK2 kinase and a series of A

Indexed as

Application programming interface (API)Dual topologyFree energy perturbation (FEP)Ligand bindingMolecular dynamics (MD)

Identifiers

PMID30941533
PMCPMC6444553
OpenAlexW2941138866

What OpenQuestion holds

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LicenceCC BY
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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.