Evidence map›Paper›PMID 37680156›Full record

ReviewMini reviews in medicinal chemistry2024

The Application of MD Simulation to Lead Identification, Vaccine Design, and Structural Studies in Combat against Leishmaniasis - A Review.

Saravanan Vijayakumar, Lukkani Laxman Kumar, Subhomoi Borkotoky, Ayaluru Murali

Abstract readReview
PubMed Publisher
In one paragraph

Review in Mini reviews in medicinal chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Structural analysis of ITS 1 gene ofFrontiers in cellular and infection microbiology · 2026
    Article
  3. Article
  4. Article
  5. Article
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.

Saravanan VijayakumarDepartment of Bioinformatics, ICMR-RMRIMS, Patna, Bihar, India.ORCID 0000-0001-5145-0384
Lukkani Laxman KumarDepartment of Bioinformatics, Pondicherry University, Puducherry, India.ORCID 0000-0003-1168-2708
Subhomoi BorkotokyDepartment of Biotechnology, Invertis University, Bareilly, Uttar Pradesh, India.ORCID 0000-0001-6752-4296
Ayaluru MuraliDepartment of Bioinformatics, Pondicherry University, Puducherry, India.ORCID 0000-0001-6406-6840

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Drug discovery, vaccine design, and protein interaction studies are rapidly moving toward the routine use of molecular dynamics simulations (MDS) and related methods. As a result of MDS, it is possible to gain insights into the dynamics and function of identified drug targets, antibody-antigen interactions, potential vaccine candidates, intrinsically disordered proteins, and essential proteins. The MDS appears to be used in all possible ways in combating diseases such as cancer, however, it has not been well documented as to how effectively it is applied to infectious diseases such as Leishmaniasis. As a result, this review aims to survey the application of MDS in combating leishmaniasis. We have systematically collected articles that illustrate the implementation of MDS in drug discovery, vaccine development, and structural studies related to Leishmaniasis. Of all the articles reviewed, we identified that only a limited number of studies focused on the development of vaccines against Leishmaniasis through MDS. Also, the PCA and FEL studies were not carried out in most of the studies. These two were globally accepted utilities to understand the conformational changes and hence it is recommended that this analysis should be taken up in similar approaches in the future.

Indexed as

LeishmaniasisMolecular Dynamics SimulationAnimalsDrug DesignDrug DiscoveryHumansLeishmaniaLeishmaniasis VaccinesLeishmaniasis Vaccinesforce fields.L. donovanileishmaniasisLeishmania spp.leishmania vaccineMD simulationsmolecular modellingPCA and FELvisceral leishmaniasis

Identifiers

PMID37680156

What OpenQuestion holds

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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.