Evidence map›Paper›PMID 34194898›Full record

Article3 Biotech2021

Protein-protein interaction and in silico mutagenesis studies on IL17A and its peptide inhibitor.

Aishwarya Kochhar, Noor Saba Khan, Ravi Deval, Dibyabhaba Pradhan, Lingaraja Jena, Rajabrata Bhuyan, Tanmaya Kumar Sahu, Arun Kumar Jain

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In one paragraph

Article in 3 Biotech, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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, 0 citations in OpenAlex.

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

8 authors at 6 institutions in 1 country.

Aishwarya KochharBiomedical Informatics Centre, National Institute of Pathology-ICMR, New Delhi, 110029 India.
Noor Saba KhanBiomedical Informatics Centre, National Institute of Pathology-ICMR, New Delhi, 110029 India.
Ravi DevalDepartment of Biotechnology, Invertis University, NH-24, Bareilly, U.P. 243123 India.
Dibyabhaba PradhanBiomedical Informatics Centre, National Institute of Pathology-ICMR, New Delhi, 110029 India.ORCID 0000-0002-2459-5032
Lingaraja JenaDepartment of Bioscience and Biotechnology, Banasthali Vidyapith, Banasthali, 304022 India.
Rajabrata BhuyanBioinformatics Centre, Mahatma Gandhi Institute of Medical Sciences, Sevagram, Maharashtra 442102 India.
Tanmaya Kumar SahuCentre for Agricultural Bioinformatics, ICAR-Indian Agricultural Statistics Research Institute, New Delhi, 110012 India.
Arun Kumar JainBiomedical Informatics Centre, National Institute of Pathology-ICMR, New Delhi, 110029 India.
Invertis University · INBanasthali University · INIndian Agricultural Statistics Research Institute · INIndian Council of Medical Research · INMahatma Gandhi Institute of Medical Sciences · INNational Institute of Pathology · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Protein-protein interactions of Interleukin-17 (IL17) play vital role in the autoimmune and inflammatory diseases, such as rheumatoid arthritis, multiple sclerosis, and psoriasis. Potent therapeutics for these diseases could be developed by blocking or modulating these interactions through biologics, peptide inhibitors and small molecule inhibitors. Unlike biologics, peptide inhibitors are cost effective and can be orally available. Peptide inhibitors do not require a binding groove as that of small molecules either. Therefore, crystal structure of IL17A in complex with a high affinity peptide inhibitor (HAP) (1-IHVTIPADLWDWIN-14) is investigated with an aim to find hot spots that could improve its potency. An in silico mutagenesis strategy was implemented using FoldX PSSM to scan for positions tolerant to amino acid substitution. Three positions T4, A7, and N14 showed improved stability when mutated with 'F/M/Y', 'P' and 'F/M/Y', respectively. A set of 31 mutant peptides are designed through combinations of these tolerant mutations using Build Model application of FoldX. Binding affinity and interactions of 31 peptides are assessed through protein-peptide docking and binding free energy calculations. Two peptides namely, P1 ("1-IHVTIP SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s13205-021-02856-y.

Indexed as

IL17In silico drug designMolecular dynamics simulationsPeptide-based inhibitor designProtein–peptide dockingProtein–protein interaction

Identifiers

PMID34194898
PMCPMC8167077
OpenAlexW3166282912

What OpenQuestion holds

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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.