Evidence map›Paper›PMID 29756074›Full record

ArticleHeliyon2018

Discovery of small molecules through pharmacophore modeling, docking and molecular dynamics simulation against

Madhu Sudhana Saddala, Pradeepkiran Jangampalli Adi

RetractedErratum issuedOpen access · goldAbstract read
In one paragraph

Article in Heliyon, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 25 citations in OpenAlex.

  1. First Evidence of Anti-Biomedicines · 2025
    Article
  2. Article
  3. Review
  4. Anti-Metabolites · 2022
    Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 2 institutions in 2 countries.

Madhu Sudhana SaddalaCentre for Agricultural Bioinformatics, ICAR-IASRI, New Delhi, India.
Pradeepkiran Jangampalli AdiSri Venkateswara University, Tirupati, 517502, Andhra Pradesh, India.
Johns Hopkins University · USSri Venkateswara University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Vivapain-3(VP-3) protein is a family of cysteine rich proteases of malaria parasite is extensively reported to participate in a range of wide cellular processes including survival. VP-3 of plasmodium recognized as an attractive drug target in vector-borne diseases like malaria. In the present study we robust a homology model of VP-3 protein and generated the pharmacophore based models adapted to screen the best drug like compounds from PubChem database. Our results finds the fourteen best lead molecules were mapped with core pharmacophore features of VP-3 and top hits were further evaluated by molecular dynamics simulation and docking studies. Based on the molecular dynamics simulation and docking results and binding vicinity of ligand molecules, top five i.e., CID 74427945, CID 74427946, CID 360883, CID193721 and CID 51416859 showed the best docking scores with good molecular interactions against VP-3. Furthermore

Indexed as

Computational biologyMolecular biologyPharmaceutical scienceStructural biology

Identifiers

PMID29756074
PMCPMC5944417
OpenAlexW2800456204

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.