Evidence map›Paper›PMID 35018501›Full record

ArticleJournal of molecular modeling2022

Structural and molecular properties of complexes of biomolecules and metal-organic frameworks: dispersion-corrected DFT treatment.

Anahita Bakhshandeh, Fatemeh Ardestani, Hamid Reza Ghorbani, Masoud Darvish Ganji

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Article in Journal of molecular modeling, 2022. 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
0.2field-weighted citation impact, top 59% of its field
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, 3 citations in OpenAlex.

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

4 authors at 1 institution in 1 country.

Anahita BakhshandehDepartment of Chemical Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran.
Fatemeh ArdestaniDepartment of Chemical Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran. f.ardestani@qaemiau.ac.ir.
Hamid Reza GhorbaniDepartment of Chemical Engineering, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran.
Masoud Darvish GanjiDepartment of Nanochemistry, Qaemshahr Branch, Islamic Azad University, Qaemshahr, Iran. ganji_md@yahoo.com.ORCID http://orcid.org/0000-0001-8003-9682
Qaemshahr Islamic Azad University · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Investigation of complexes of nanostructured materials and biomolecules has attracted much attention by various researchers as it can contribute to coherent growth and extended application of nanostructures in different technologies. In this research, following a comprehensive approach, we examined the interaction between different amino acids and metal-organic frameworks (MOFs) at atomic scale using computational chemistry. For this purpose, we employed the density functional theory (DFT-D2) calculations to afford a molecular description of the interaction properties of the amino acids and MOF-5 by examining the interaction energy and the electronic structure of the amino acid/MOF complexes. We found strong interactions between the amino acids and MOF through their polar groups as well as aromatic rings in the gas phase. However, our findings were significantly different in solvent media, where water molecules prevent the amino acids from approaching the active sites of MOF, causing weak attractions between them. The evaluation of nature of interaction between the amino acids and MOF by the atoms-in-molecules (AIM) theory shows that the electrostatic attractions are the main force contributing to bond formation between the interacting entities. Furthermore, our DFT-PBE model of theory was validated against the comprehensive MP2 quantum level of theory.

Indexed as

AIMAmino acidsDFTInteractionMOF

Identifiers

PMID35018501
OpenAlexW4205679793

What OpenQuestion holds

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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.