Evidence map›Paper›PMID 28236172›Full record

ArticleParasitology research2017

In-silico screening, identification and validation of a novel vaccine candidate in the fight against Plasmodium falciparum.

Sandeep Kumar Panda, Rajani Kanta Mahapatra

Abstract read
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In one paragraph

Article in Parasitology research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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  6. TheFrontiers in cellular and infection microbiology · 2018
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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

2 authors at 1 institution in 1 country.

Sandeep Kumar PandaSchool of Biotechnology, KIIT University, Bhubaneswar, Odisha, 751024, India.
Rajani Kanta MahapatraSchool of Biotechnology, KIIT University, Bhubaneswar, Odisha, 751024, India. rmahapatra@kiitbiotech.ac.in.
KIIT University · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

With the enormous genetic plasticity of malaria parasite, the challenges of developing a potential malaria vaccine candidate with highest efficacy still remain. This study has incorporated a bioinformatics-based screening approach to explore potential vaccine candidates in Plasmodium falciparum proteome. A systematic strategy was defined to screen proteins from the Malaria Parasite Metabolic Pathways (MPMP) database, on the basis of surface exposure, non-homology with host proteome, orthology with related Plasmodium species, and MHC class I and II binding promiscuity. The approach reported PF3D7_1428200, a putative metabolite transporter protein, as a novel vaccine candidate. RaptorX server was used to generate the 3D model of the protein and was validated by PROCHECK. Furthermore, the predicted B cell and T cell epitopes with the highest score were subjected to energy minimization by molecular dynamics simulation to examine their stability within a solvent system. Results from this study could facilitate selection of proteins for entry into vaccine production pipeline in future.

Indexed as

Computer SimulationComputational BiologyEpitopes, T-LymphocyteHumansMalaria, FalciparumMalaria VaccinesModels, BiologicalPlasmodium falciparumProteomeProtozoan ProteinsEpitopes, T-LymphocyteMalaria VaccinesProteomeProtozoan ProteinsMolecular dynamics simulationPlasmodium falciparumProteomeStructure predictionVaccine

Identifiers

PMID28236172
OpenAlexW2590085129

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.