Evidence map›Paper›PMID 36145719›Full record

ReviewPharmaceutics2022

Application of DFT Calculations in Designing Polymer-Based Drug Delivery Systems: An Overview.

Oluwasegun Chijioke Adekoya, Gbolahan Joseph Adekoya, Emmanuel Rotimi Sadiku, Yskandar Hamam, Suprakas Sinha Ray

Abstract readReview
In one paragraph

Review in Pharmaceutics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. NbRSC advances · 2026
    Article
  2. Article
  3. RepurposingACS omega · 2026
    Article
  4. Integrated UHPLC-QTOF-MSJournal of computer-aided molecular design · 2026
    Article
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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

5 authors.

Oluwasegun Chijioke AdekoyaDepartment of Chemical, Metallurgical and Materials Engineering, Faculty of Engineering and the Built Environment, Institute of NanoEngineering Research (INER), Tshwane University of Technology, Pretoria 0183, South Africa.
Gbolahan Joseph AdekoyaDepartment of Chemical, Metallurgical and Materials Engineering, Faculty of Engineering and the Built Environment, Institute of NanoEngineering Research (INER), Tshwane University of Technology, Pretoria 0183, South Africa.ORCID 0000-0001-6381-0914
Emmanuel Rotimi SadikuDepartment of Chemical, Metallurgical and Materials Engineering, Faculty of Engineering and the Built Environment, Institute of NanoEngineering Research (INER), Tshwane University of Technology, Pretoria 0183, South Africa.ORCID 0000-0002-8504-1041
Yskandar HamamDepartment of Electrical Engineering, French South African Institute of Technology (F'SATI), Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0002-9673-9189
Suprakas Sinha RayCentre for Nanostructures and Advanced Materials, DSI-CSIR Nanotechnology Innovation Centre, Council for Scientific and Industrial Research, CSIR, Pretoria 0001, South Africa.ORCID 0000-0002-0007-2595

Funding

Council for Scientific and Industrial Research 086ADMIDepartment of Science and Technology C6ACH20National Research Foundation 138768
6 · The paper itself

Abstract

Drug delivery systems transfer medications to target locations throughout the body. These systems are often made up of biodegradable and bioabsorbable polymers acting as delivery components. The introduction of density functional theory (DFT) has tremendously aided the application of computational material science in the design and development of drug delivery materials. The use of DFT and other computational approaches avoids time-consuming empirical processes. Therefore, this review explored how the DFT computation may be utilized to explain some of the features of polymer-based drug delivery systems. First, we went through the key aspects of DFT and provided some context. Then we looked at the essential characteristics of a polymer-based drug delivery system that DFT simulations could predict. We observed that the Gaussian software had been extensively employed by researchers, particularly with the B3LYP functional and 6-31G(d, p) basic sets for polymer-based drug delivery systems. However, to give researchers a choice of basis set for modelling complicated organic systems, such as polymer-drug complexes, we then offered possible resources and presented the future trend.

Indexed as

DFTdrug delivery systemnanocompositespolymerquantum mechanics

Identifiers

PMID36145719
PMCPMC9505803

What OpenQuestion holds

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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.