Evidence map›Paper›PMID 42891859›Full record

ArticleJournal of molecular modeling2026

Development and application of a new structural modeling approach for FTIR analysis of gelatin via PM3 calculations.

Prateek Pathak, Djalila Boudemagh, Maria Grishina

Abstract read
PubMed Publisher
In one paragraph

Article in Journal of molecular modeling, 2026. 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

3 authors.

Prateek PathakDrug Discovery Laboratory, School of Pharmacy, GITAM (Deemed to Be) University, Hyderabad Campus, Hyderabad, 502329, India.ORCID http://orcid.org/0000-0002-6160-9755
Djalila BoudemaghEmerging Materials Research Unit, Department of Process Engineering, Faculty of Technology, Setif-1 University- Ferhat ABBAS, Setif, 19000, Algeria.ORCID http://orcid.org/0000-0003-3876-0526
Maria GrishinaLaboratory of Computational Modelling of Drugs, Higher Medical and Biological School, South Ural State University, 76, Pr. Lenina, 454080, Chelyabinsk, Russia. grishinama@susu.ru.ORCID http://orcid.org/0000-0002-2573-4831

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

contextGelatin is a widely used material; however, its precise structure has not yet been resolved by X-ray diffraction. To predict its properties, including the adsorption of phytocomponents and associated biological effects, a reliable structural model is essential. Since experimental data are limited, computational methods that account for interactions between polypeptide chains, water, and other molecules represent a viable approach. In this study, the available experimental FTIR spectrum of gelatin was used as a benchmark to validate the modeling results.

methodsA new express method Infant for global minimum search applicable for large molecular systems is proposed. This approach estimates intramolecular energies using the MM3 force field and intermolecular interactions via the presented Model of Effective Radii of Atoms (MERA). The method was applied to model various structural fragments of gelatin, including hydrated and non-hydrated single-, double-, and triple-helix α-chains. The IR spectra of the obtained fragments were calculated using the semi-empirical quantum chemical method PM3. High accuracy in reproducing the experimental FTIR spectrum of gelatin was demonstrated, confirming the reliability of the proposed structural models.

Indexed as

Gelatin structureIntermolecular interactionsIntramolecular interactionsMolecular modelingSemi-empirical quantum chemistry method

Identifiers

What OpenQuestion holds

Textmetadata
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.