Evidence map›Paper›PMID 35507592›Full record

ArticlePloS one2022

Comparative analysis of web-based programs for single amino acid substitutions in proteins.

Arunabh Choudhury, Taj Mohammad, Farah Anjum, Alaa Shafie, Indrakant K Singh, Bekhzod Abdullaev, Visweswara Rao Pasupuleti, Mohd Adnan, Dharmendra Kumar Yadav, Md Imtaiyaz Hassan

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
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  3. Predictive Analysis and Validation of Critical Missense SNPs of theInternational journal of molecular sciences · 2025
    Review
  4. Hedgehog Components Are Present in Polymorphous Adenocarcinoma of the Salivary Gland Regardless of PRKD1 Mutation and Tissue Invasion.Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology · 2025
    Article
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  10. Article
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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

10 authors.

Arunabh ChoudhuryDepartment of Computer Science, Jamia Millia Islamia, Jamia Nagar, New Delhi, INDIA.
Taj MohammadCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, INDIA.
Farah AnjumDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Alaa ShafieDepartment of Clinical Laboratory Sciences, College of Applied Medical Sciences, Taif University, Taif, Saudi Arabia.
Indrakant K SinghMolecular Biology Research Lab, Department of Zoology, Deshbandhu College, University of Delhi, Kalkaji, New Delhi, India.
Bekhzod AbdullaevScientific Department, Akfa University, Tashkent, Uzbekistan.ORCID 0000-0001-7798-7382
Visweswara Rao PasupuletiDepartment of Biomedical Sciences and Therapeutics, Faculty of Medicine & Health Sciences, Universiti Malaysia Sabah, Kota Kinabalu, Sabah, Malaysia.
Mohd AdnanDepartment of Biology, College of Science, University of Hail, Hail, Saudi Arabia.ORCID 0000-0002-7080-6822
Dharmendra Kumar YadavCollege of Pharmacy, Gachon University of Medicine and Science, Yeonsu-gu, Incheon City, Korea.
Md Imtaiyaz HassanCentre for Interdisciplinary Research in Basic Sciences, Jamia Millia Islamia, Jamia Nagar, New Delhi, INDIA.ORCID 0000-0002-3663-4940

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Single amino-acid substitution in a protein affects its structure and function. These changes are the primary reasons for the advent of many complex diseases. Analyzing single point mutations in a protein is crucial to see their impact and to understand the disease mechanism. This has given many biophysical resources, including databases and web-based tools to explore the effects of mutations on the structure and function of human proteins. For a given mutation, each tool provides a score-based outcomes which indicate deleterious probability. In recent years, developments in existing programs and the introduction of new prediction algorithms have transformed the state-of-the-art protein mutation analysis. In this study, we have performed a systematic study of the most commonly used mutational analysis programs (10 sequence-based and 5 structure-based) to compare their prediction efficiency. We have carried out extensive mutational analyses using these tools for previously known pathogenic single point mutations of five different proteins. These analyses suggested that sequence-based tools, PolyPhen2, PROVEAN, and PMut, and structure-based web tool, mCSM have a better prediction accuracy. This study indicates that the employment of more than one program based on different approaches should significantly improve the prediction power of the available methods.

Indexed as

ProteinsSoftwareAlgorithmsAmino Acid SubstitutionComputational BiologyHumansInternetProteins

Identifiers

PMID35507592
PMCPMC9067658

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.