Evidence map›Paper›PMID 24966524›Full record

ArticleBioinformation2014

Molecular designing and in silico evaluation of darunavir derivatives as anticancer agents.

Manoj Kumar Mahto, Nanda Kumar Yellapu, Ravendra Babu Kilaru, Naga Raju Chamarthi, Matcha Bhaskar

Open access · hybridAbstract read
In one paragraph

Article in Bioinformation, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
1.5field-weighted citation impact, top 18% 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

3 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Study of andrographolide bioactivity againstFrontiers in chemistry · 2024
    Article
  3. 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

5 authors at 3 institutions in 1 country.

Manoj Kumar MahtoDepartment of Biotechnology, Acharya Nagarjuna University, Guntur, AP, India, 522510 ; Division of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati, AP, India, 517502.
Nanda Kumar YellapuBiomedical Informatics Center, Vector Control Research Center, Indian Council of Medical Research, Pondicherry, India, 605006.
Ravendra Babu KilaruDepartment of Chemistry, Sri Venkateswara University, Tirupati, AP, 517502, India.
Naga Raju ChamarthiDepartment of Chemistry, Sri Venkateswara University, Tirupati, AP, 517502, India.
Matcha BhaskarDivision of Animal Biotechnology, Department of Zoology, Sri Venkateswara University, Tirupati, AP, India, 517502.
National Institute of Animal Biotechnology · INSri Venkateswara University · INVector Control Research Centre · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Darunavir is a synthetic nonpeptidic protease inhibitor which has been tested for anticancer properties. To deduce and enhance the anticancer activity of the Darunavir, we have modified its reactive moiety in an effective way. We designed 9 analogues in ChemBioOffice 2010 and minimized using the LigPrep tool of Schrödinger 2011. These analogues can obstruct the activity of other signalling pathways which are implicated in many tumors. Results of the QikProp showed that all the analogues lied in the specified range of all the pharmacokinetic (ADMET) properties required to become the successful drug. Docking study was performed to test its anticancer activity against the biomarkers of the five main types of cancers i.e. bone, brain, breast, colon and skin cancer. Grid was generated for each oncoproteins by specifying the active site amino acids. The binding model of best scoring analogue with each protein was assessed from their G-scores and disclosed by docking analysis using the XP visualizer tool. An analysis of the receptor-ligand interaction studies revealed that these nine Darunavir analogues are active against all cancer biomarkers and have the features to prove themselves as anticancer drugs, further to be synthesized and tested against the cell lines.

Indexed as

ADMETCancerDarunavirDockingEGFRHIVVEGFR2

Identifiers

PMID24966524
PMCPMC4070053
OpenAlexW2018274501

What OpenQuestion holds

Textmetadata
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.