Evidence map›Paper›PMID 32256683›Full record

ArticleComputational and mathematical methods in medicine2020

Homology Modeling and Virtual Screening Studies of Antigen MLAA-42 Protein: Identification of Novel Drug Candidates against Leukemia-An

Ihsan A Shehadi, Huda R M Rashdan, Aboubakr H Abdelmonsef

Abstract read
In one paragraph

Article in Computational and mathematical methods in medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Frontiers in pharmacology · 2024
    Article
  6. Article
  7. Article
  8. Design, synthetic approach,RSC advances · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Synthesis, characterization,RSC advances · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Synthesis, Molecular Docking Analysis andFrontiers in molecular biosciences · 2021
    Article
  20. 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

3 authors.

Ihsan A ShehadiChemistry Department, Faculty of Science, University of Sharjah, Sharjah 27272, UAE.
Huda R M RashdanChemistry of Natural and Microbial Products Department, Pharmaceutical and Drug Industries Research Division, National Research Centre, Dokki 12622, Cairo, Egypt.
Aboubakr H AbdelmonsefChemistry Department, Faculty of Science, South Valley University, Qena 83523, Egypt.ORCID https://orcid.org/0000-0002-4616-0224

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Monocytic leukemia-associated antigen-42 (MLAA-42) is associated with excessive cell division and progression of leukemia. Thus, human MLAA-42 is considered as a promising target for designing of new lead molecules for leukemia treatment. Herein, the 3D model of the target was generated by homology modeling technique. The model was then evaluated using various cheminformatics servers. Moreover, the virtual screening studies were performed to explore the possible binding patterns of ligand molecules to MLAA's active site pocket. Thirteen ligand molecules from the ChemBank

Indexed as

Amino Acid SequenceAntigens, NeoplasmAntineoplastic AgentsBinding SitesComputational BiologyComputer SimulationDrug DesignDrug Screening Assays, AntitumorHumansLeukemia, Monocytic, AcuteLigandsModels, MolecularMolecular Docking SimulationNeoplasm ProteinsProtein ConformationProtein Structure, SecondaryAntigens, NeoplasmAntineoplastic AgentsLigandsMLAA-42 protein, humanNeoplasm Proteins

Identifiers

PMID32256683
PMCPMC7102452

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.