Evidence map›Paper›PMID 38725239›Full record

ArticleJournal of computational chemistry2024

Impact of protein conformations on binding free energy calculations in the beta-secretase 1 system.

Hannah M Baumann, David L Mobley

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

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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

2 authors.

Hannah M BaumannDepartment of Pharmaceutical Sciences, University of California, Irvine, Irvine, California, USA.
David L MobleyDepartment of Chemistry, University of California, Irvine, California, USA.ORCID https://orcid.org/0000-0002-1083-5533

Funding

Computational alchemy for molecular design and optimizationR01GM108889 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI MOBLEY, DAVID LOWELL · 2014 to 2022
$2.5M
Accelerating drug discovery via ML-guided iterative design and optimizationR35GM148236 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI David Lowell Mobley · 2023 to 2026
$2.2M
NIGMS NIH HHS R01 GM108889NIGMS NIH HHS R01GM108889NIGMS NIH HHS R35 GM148236NIGMS NIH HHS R35GM148236Pfizer
6 · The paper itself

Abstract

In binding free energy calculations, simulations must sample all relevant conformations of the system in order to obtain unbiased results. For instance, different ligands can bind to different metastable states of a protein, and if these protein conformational changes are not sampled in relative binding free energy calculations, the contribution of these states to binding is not accounted for and thus calculated binding free energies are inaccurate. In this work, we investigate the impact of different beta-sectretase 1 (BACE1) protein conformations obtained from x-ray crystallography on the binding of BACE1 inhibitors. We highlight how these conformational changes are not adequately sampled in typical molecular dynamics simulations. Furthermore, we show that insufficient sampling of relevant conformations induces substantial error in relative binding free energy calculations, as judged by a variation in calculated relative binding free energies up to 2 kcal/mol depending on the starting protein conformation. These results emphasize the importance of protein conformational sampling and pose this BACE1 system as a challenge case for further method development in the area of enhanced protein conformational sampling, either in combination with binding calculations or as an endpoint correction.

Indexed as

Amyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesMolecular Dynamics SimulationProtein BindingProtein ConformationThermodynamicsCrystallography, X-RayHumansLigandsAmyloid Precursor Protein SecretasesAspartic Acid EndopeptidasesBACE1 protein, humanLigandsbeta‐secretasebinding free energyconformational changesmolecular dynamicsRBFEsampling problems

Identifiers

PMID38725239
PMCPMC11236511

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Registered trials

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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.