Evidence map›Paper›PMID 36132183›Full record

ArticleHeliyon2022

BESFA: bioinformatics based evolutionary, structural & functional analysis of prostrate, Placenta, Ovary, Testis, and Embryo (POTE) paralogs.

Sahar Qazi, Bimal Prasad Jit, Abhishek Das, Muthukumarasamy Karthikeyan, Amit Saxena, M D Ray, Angel Rajan Singh, Khalid Raza, B Jayaram, Ashok Sharma

Open access · goldAbstract read
In one paragraph

Article in Heliyon, 2022. 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
0.9field-weighted citation impact, top 22% 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

5 citing papers in PubMed, 5 citations in OpenAlex.

  1. Article
  2. Article
  3. Molecular Consequences ofInternational journal of molecular sciences · 2025
    Article
  4. Article
  5. Review
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

10 authors at 6 institutions in 1 country.

Sahar QaziDepartment of Biochemistry, All India Institute of Medical Sciences, Delhi 110029, India.
Bimal Prasad JitDepartment of Biochemistry, All India Institute of Medical Sciences, Delhi 110029, India.
Abhishek DasDepartment of Biochemistry, All India Institute of Medical Sciences, Delhi 110029, India.
Muthukumarasamy KarthikeyanNational Chemical Laboratory, Council of Scientific and Industrial Research (NCL-CSIR), Pune, Maharashtra, India.
Amit SaxenaCentre for Development of Advanced Computing, Pune, Maharashtra, India.
M D RayDr. B.R.A Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, Delhi 110029, India.
Angel Rajan SinghDr. B.R.A Institute-Rotary Cancer Hospital, All India Institute of Medical Sciences, Delhi 110029, India.
Khalid RazaDepartment of Computer Science, Jamia Millia Islamia, New Delhi 110025, India.
B JayaramSupercomputing Facility for Bioinformatics & Computational Biology, Indian Institute of Technology, Delhi, India.
Ashok SharmaDepartment of Biochemistry, All India Institute of Medical Sciences, Delhi 110029, India.
All India Institute of Medical Sciences · INDR. B.R.A. Institute Rotary Cancer Hospital · INJamia Millia Islamia · INCentre for Development of Advanced Computing · INIndian Institute of Technology Delhi · INNational Chemical Laboratory · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The POTE family comprises 14 paralogues and is primarily expressed in Prostrate, Placenta, Ovary, Testis, Embryo (POTE), and cancerous cells. The prospective function of the POTE protein family under physiological conditions is less understood. We systematically analyzed their cellular localization and molecular docking analysis to elucidate POTE proteins' structure, function, and Adaptive Divergence. Our results suggest that group three POTE paralogs (POTEE, POTEF, POTEI, POTEJ, and POTEKP (a pseudogene)) exhibits significant variation among other members could be because of their Adaptive Divergence. Furthermore, our molecular docking studies on POTE protein revealed the highest binding affinity with NCI-approved anticancer compounds. Additionally, POTEE, POTEF, POTEI, and POTEJ were subject to an explicit molecular dynamic simulation for 50ns. MM-GBSA and other essential electrostatics were calculated that showcased that only POTEE and POTEF have absolute binding affinities with minimum energy exploitation. Thus, this study's outcomes are expected to drive cancer research to successful utilization of POTE genes family as a new biomarker, which could pave the way for the discovery of new therapies.

Indexed as

Adaptive divergenceEvolutionHomologyMolecular dockingMolecular dynamic simulation molecular mechanics/generalized born surface area (MMGBSA)POTE paralogs

Identifiers

PMID36132183
PMCPMC9483601
OpenAlexW4294579996

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.