Evidence map›Paper›PMID 39316155›Full record

ArticlePlant molecular biology2024

PredPSP: a novel computational tool to discover pathway-specific photosynthetic proteins in plants.

Prabina Kumar Meher, Upendra Kumar Pradhan, Padma Lochan Sethi, Sanchita Naha, Ajit Gupta, Rajender Parsad

Abstract read
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In one paragraph

Article in Plant molecular biology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Prabina Kumar MeherDivision of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India. prabina.meher@icar.gov.in.ORCID http://orcid.org/0000-0002-7098-8785
Upendra Kumar Pradhan *Division of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India.ORCID http://orcid.org/0000-0001-8768-879X
Padma Lochan SethiDepartment of Bioinformatics, Odisha University of Agriculture & Technology, Bhubaneswar, 751003, Odisha, India.
Sanchita NahaDivision of Computer Applications, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India.
Ajit GuptaDivision of Statistical Genetics, ICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India.
Rajender ParsadICAR-Indian Agricultural Statistics Research Institute, PUSA, New Delhi, 110012, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Photosynthetic proteins play a crucial role in agricultural productivity by harnessing light energy for plant growth. Understanding these proteins, especially within C

Indexed as

Computational BiologyPhotosynthesisPlant ProteinsAlgorithmsPlantsPlant ProteinsBioinformaticsComputational biologyDeep learningMachine learningPhotosynthesisPrediction server

Identifiers

PMID39316155

What Socratic 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 Socratic graph.