Evidence map›Paper›PMID 41160490›Full record

ArticleThe journal of physical chemistry. B2025

IR Spectroscopy: From Experimental Spectra to High-Resolution Structural Analysis by Integrating Simulations and Machine Learning.

Marvin Scherlo, Dominic Phillips, Ricarda Künne, Emiliano Ippoliti, Klaus Gerwert, Carsten Kötting, Paolo Carloni, Antonia S J S Mey, Till Rudack

Abstract read
In one paragraph

Article in The journal of physical chemistry. B, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Marvin ScherloCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum 44801, Germany.ORCID 0000-0002-8416-316X
Dominic PhillipsSchool of Informatics and Maxwell Institute for the Mathematical Sciences, University of Edinburgh, Edinburgh EH8 9BT, U.K.
Ricarda KünneCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum 44801, Germany.
Emiliano IppolitiComputational Biomedicine, Institute for Neuroscience and Medicine inm-9, Forschungszentrum Jülich GmbH, Jülich 52428, Germany.ORCID 0000-0001-5513-8056
Klaus GerwertCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum 44801, Germany.
Carsten KöttingCenter for Protein Diagnostics (PRODI), Biospectroscopy, Ruhr University Bochum, Bochum 44801, Germany.ORCID 0000-0002-3599-9657
Paolo CarloniComputational Biomedicine, Institute for Neuroscience and Medicine inm-9, Forschungszentrum Jülich GmbH, Jülich 52428, Germany.ORCID 0000-0002-9010-0149
Antonia S J S MeyEaStCHEM School of Chemistry, University of Edinburgh, David Brewster Road, Edinburgh EH9 3FJ, U.K.ORCID 0000-0001-7512-5252
Till RudackBiomolecular Simulations and Theoretical Biophysics Group, Faculty of Biology and Biotechnology, Ruhr University Bochum, Bochum 44801, Germany.ORCID 0000-0003-2693-9561

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding biomolecular function at the atomic scale requires detailed insight into the structural changes underlying dynamic processes. Vibrational infrared (IR) spectroscopy─when paired with biomolecular simulations and quantum-chemical calculations─determines bond length variations on the order of 0.01 Å, providing insights into these structural changes. Here, we address the forward problem in IR spectroscopy: predicting high-accuracy vibrational spectra from known molecular structures identified by biomolecular simulations. Solving this problem lays the groundwork for the inverse problem: inferring structural ensembles directly from experimental IR spectra. We evaluate two computational approaches, normal-mode analysis and Fourier-transformed dipole autocorrelation, against experimental IR spectra of

Indexed as

AcetamidesMachine LearningMolecular Dynamics SimulationQuantum TheorySpectrophotometry, InfraredVibrationAcetamidesN-methylacetamide

Identifiers

PMID41160490
PMCPMC12621253

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.