Evidence map›Paper›PMID 40539257›Full record

ArticleJournal of computational chemistry2025

Revisiting the "Cluster-In-Solvent" Approach for Computational Spectroscopy: The Vibrational Circular Dichroism as a Test Case.

Srilatha Arra, Isabella Daidone, Massimiliano Aschi

Abstract read
In one paragraph

Article in Journal of computational chemistry, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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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

3 authors.

Srilatha ArraDepartment of Physical and Chemical Sciences, University of L'Aquila, L'Aquila, Italy.
Isabella DaidoneDepartment of Physical and Chemical Sciences, University of L'Aquila, L'Aquila, Italy.
Massimiliano AschiDepartment of Physical and Chemical Sciences, University of L'Aquila, L'Aquila, Italy.ORCID https://orcid.org/0000-0003-2959-0158

Funding

Ministero dell'Università e della Ricerca
6 · The paper itself

Abstract

The cluster-in-solvent approach, that is, the use of the quantum-mechanical calculation of a spectral observable on a significant number of solute-solvent clusters extracted from semi-classical simulations, is widely used in computational spectroscopy. However, identifying relevant coordinates for cluster selection remains a challenge. We previously developed the Ellipsoid Method for Cluster-in-Solvent (EMCS), an automated strategy for unbiased identification and statistical weighting of clusters. Yet, for larger solutes, EMCS can yield overly large solvent clusters that hinder conformational analysis. Here, we introduce a simple extension of EMCS that reduces cluster size, enabling its application to medium-to-large solutes. The method is validated through the computation of Vibrational Circular Dichroism (VCD) spectra, which are highly sensitive to solute-solvent interactions. Test cases include aqueous L-alanine, aqueous dialanine, and (1S,2S)-trans-1-amino-2-indanol in DMSO. For L-alanine and trans-1-amino-2-indanol, computed spectra closely match experiment, with root-mean-square-deviation (RMSD) values of 10.3 and 8.0, respectively, consistent with previous benchmarks. For aqueous dialanine, the main spectral features were reproduced, though discrepancies in the fine structure remain, likely due to limitations in capturing subtle solvation effects. Overall, the refined EMCS protocol enables efficient and non-arbitrary sampling of solute-solvent clusters, offering a valuable tool for the structural analysis of solvation shells in complex molecular systems.

Indexed as

cluster analysiscomputational spectroscopyessential dynamicsmolecular dynamicsvibrational circular dichroism

Identifiers

PMID40539257
PMCPMC12179761

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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.