Evidence map›Paper›PMID 34760182›Full record

ArticleChemical science2021

Alchemical absolute protein-ligand binding free energies for drug design.

Y Khalak, G Tresadern, M Aldeghi, H M Baumann, D L Mobley, B L de Groot, V Gapsys

Abstract read
In one paragraph

Article in Chemical science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers.

0numbers the graph read from it
0cells of the map it votes in
45citing 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

45 citing papers in PubMed.

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  9. Integrating Machine Learning into Free Energy Perturbation Workflows.Journal of chemical information and modeling · 2025
    Review
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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.

Y KhalakComputational Biomolecular Dynamics Group, Department of Theoretical and Computational Biophysics, Max Planck Institute for Biophysical Chemistry D-37077 Göttingen Germany vgapsys@gwdg.de.
G TresadernComputational Chemistry, Janssen Research & Development, Janssen Pharmaceutica N. V. Turnhoutseweg 30 2340 Beerse Belgium.ORCID https://orcid.org/0000-0002-4801-1644
M AldeghiMIT Department of Chemical Engineering, Massachusetts Institute of Technology Cambridge MA 02139 USA.ORCID https://orcid.org/0000-0003-0019-8806
H M BaumannDepartment of Pharmaceutical Sciences, University of California Irvine CA 92697 USA.
D L MobleyDepartment of Pharmaceutical Sciences, University of California Irvine CA 92697 USA.
B L de GrootComputational Biomolecular Dynamics Group, Department of Theoretical and Computational Biophysics, Max Planck Institute for Biophysical Chemistry D-37077 Göttingen Germany vgapsys@gwdg.de.ORCID https://orcid.org/0000-0003-3570-3534
V GapsysComputational Biomolecular Dynamics Group, Department of Theoretical and Computational Biophysics, Max Planck Institute for Biophysical Chemistry D-37077 Göttingen Germany vgapsys@gwdg.de.ORCID https://orcid.org/0000-0002-6761-7780

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The recent advances in relative protein-ligand binding free energy calculations have shown the value of alchemical methods in drug discovery. Accurately assessing absolute binding free energies, although highly desired, remains a challenging endeavour, mostly limited to small model cases. Here, we demonstrate accurate first principles based absolute binding free energy estimates for 128 pharmaceutically relevant targets. We use a novel rigorous method to generate protein-ligand ensembles for the ligand in its decoupled state. Not only do the calculations deliver accurate protein-ligand binding affinity estimates, but they also provide detailed physical insight into the structural determinants of binding. We identify subtle rotamer rearrangements between apo and holo states of a protein that are crucial for binding. When compared to relative binding free energy calculations, obtaining absolute binding free energies is considerably more challenging in large part due to the need to explicitly account for the protein in its apo state. In this work we present several approaches to obtain apo state ensembles for accurate absolute Δ

Identifiers

PMID34760182
PMCPMC8549785

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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.