Evidence map›Paper›PMID 37466805›Full record

ArticleMolecular diversity2024

Structure-based pharmacophore modeling and DFT studies of Indian Ocean-derived red algal compounds as PI3Kα inhibitors.

Archana Vasuki, H Jemmy Christy, K Renugadevi, Manjunath Dammalli

Abstract read
PubMed Publisher
In one paragraph

Article in Molecular diversity, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.9field-weighted citation impact, top 25% 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

1 citing paper in PubMed, 6 citations in OpenAlex.

  1. 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 at 2 institutions in 1 country.

Archana VasukiDepartment of Bioinformatics, Sathyabama Institute of Science and Technology, Chennai, India.
H Jemmy ChristyDepartment of Bioinformatics, Sathyabama Institute of Science and Technology, Chennai, India. jemmyjacob@gmail.com.ORCID http://orcid.org/0000-0002-5538-4270
K RenugadeviDepartment of Biotechnology, Sathyabama Institute of Science and Technology, Chennai, India.
Manjunath DammalliDepartment of Biotechnology, Siddaganga Institute of Technology, Tumkur, Karnataka, India.
Sathyabama Institute of Science and Technology · INSiddaganga Institute of Technology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Phosphoinositide kinases (PIKs) are a type of lipid kinase that acts as an upstream activator of oncogenic signaling. Presently accessible therapeutic compounds have downsides, such as toxicity and dubious efficacy, as well as lengthy treatment durations, which have bred resistance. Here we attempt to screen the Indian Ocean-derived red algal compounds to be used as a promising lead for PI3Kα inhibitor development. Experimental structure of the PI3K alpha Isoform-Specific Inhibitor alpelisib complex-based pharmacophore model was constructed and used as key to mark off the suitable lead compounds from the pool of marine-derived red algal compounds of Indian Ocean. Besides, the study encompasses pharmacophore scaffold screening as well as physicochemical and pharmacokinetic parameter assessment. We employed molecular docking and molecular dynamics simulation to assess the binding type and stability of 21 red algal derivatives. Twelve compounds demonstrated a sustained binding mode within the PI3Kα binding pocket with an optimal protein backbone root-mean-square deviation, also prompted hydrogen bonding throughout the simulations, and also implies that these MNPs have firmly mediated the interaction with prime hinge region residues in the PI3Kα ATP binding pocket. DFT studies revealed that proposed compounds had the greatest occupied molecular orbital electrophilicity index, basicity, and dipole moment, all of which attributed their stability as well as binding affinity at the PI3Kα active site. Our study's findings revealed that CMNPD31054, CMNPD4798, CMNPD27861, CMNPD4799, CMNPD27860, CMNPD9533, CMNPD3732, CMNPD4221, CMNPD31058, CMNPD31052, CMNPD29281, and CMNPD31055 can be used as lead compounds for PI3KΑ isoform inhibitors design.

Indexed as

Density Functional TheoryMolecular Docking SimulationMolecular Dynamics SimulationRhodophytaClass I Phosphatidylinositol 3-KinasesHumansIndian OceanPharmacophorePhosphoinositide-3 Kinase InhibitorsProtein Kinase InhibitorsStructure-Activity RelationshipClass I Phosphatidylinositol 3-KinasesPhosphoinositide-3 Kinase InhibitorsProtein Kinase InhibitorsCancerDFTDocking and simulationMarine red algal compoundsPan PIK InhibitorPI3Kα

Identifiers

PMID37466805
OpenAlexW4384663273

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.