"Peptides" is a descriptor in the National Library of Medicine's controlled vocabulary thesaurus,
MeSH (Medical Subject Headings). Descriptors are arranged in a hierarchical structure,
which enables searching at various levels of specificity.
Members of the class of compounds composed of AMINO ACIDS joined together by peptide bonds between adjacent amino acids into linear, branched or cyclical structures. OLIGOPEPTIDES are composed of approximately 2-12 amino acids. Polypeptides are composed of approximately 13 or more amino acids. PROTEINS are linear polypeptides that are normally synthesized on RIBOSOMES.
| Descriptor ID |
D010455
|
| MeSH Number(s) |
D12.644
|
| Concept/Terms |
|
Below are MeSH descriptors whose meaning is more general than "Peptides".
Below are MeSH descriptors whose meaning is more specific than "Peptides".
This graph shows the total number of publications written about "Peptides" by people in this website by year, and whether "Peptides" was a major or minor topic of these publications.
To see the data from this visualization as text,
click here.
| Year | Major Topic | Minor Topic | Total |
|---|
| 1995 | 0 | 2 | 2 |
| 1996 | 1 | 1 | 2 |
| 1998 | 1 | 0 | 1 |
| 1999 | 1 | 2 | 3 |
| 2000 | 1 | 0 | 1 |
| 2001 | 0 | 1 | 1 |
| 2002 | 2 | 0 | 2 |
| 2003 | 0 | 4 | 4 |
| 2004 | 4 | 6 | 10 |
| 2005 | 6 | 3 | 9 |
| 2006 | 2 | 2 | 4 |
| 2007 | 4 | 0 | 4 |
| 2008 | 0 | 2 | 2 |
| 2009 | 1 | 4 | 5 |
| 2010 | 2 | 1 | 3 |
| 2011 | 0 | 1 | 1 |
| 2012 | 2 | 1 | 3 |
| 2013 | 3 | 0 | 3 |
| 2014 | 4 | 3 | 7 |
| 2015 | 6 | 3 | 9 |
| 2016 | 8 | 6 | 14 |
| 2017 | 67 | 38 | 105 |
| 2018 | 37 | 51 | 88 |
| 2019 | 24 | 12 | 36 |
| 2020 | 7 | 9 | 16 |
| 2021 | 13 | 19 | 32 |
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Below are the most recent publications written about "Peptides" by people in Profiles.
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Identification of Generalized Peptide Regions for Designing Vaccine Effective for All Significant Mutated Strains of SARS-CoV-2. Comb Chem High Throughput Screen. 2022; 25(3):414-428.
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DLpTCR: an ensemble deep learning framework for predicting immunogenic peptide recognized by T cell receptor. Brief Bioinform. 2021 11 05; 22(6).
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ENNAVIA is a novel method which employs neural networks for antiviral and anti-coronavirus activity prediction for therapeutic peptides. Brief Bioinform. 2021 11 05; 22(6).
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Computational design of ultrashort peptide inhibitors of the receptor-binding domain of the SARS-CoV-2 S protein. Brief Bioinform. 2021 11 05; 22(6).
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DeepImmuno: deep learning-empowered prediction and generation of immunogenic peptides for T-cell immunity. Brief Bioinform. 2021 11 05; 22(6).
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A nanotechnological approach in the current therapy of COVID-19: model drug oseltamivir-phosphate loaded PLGA nanoparticles targeted with spike protein binder peptide of SARS-CoV-2. Nanotechnology. 2021 Sep 07; 32(48).
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Separation, identification and quantification of associated impurities in cobratide using sheathless CE-MS and CE-UV. Anal Methods. 2021 09 02; 13(34):3845-3851.
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A novel and efficient approach to high-throughput production of HLA-E/peptide monomer for T-cell epitope screening. Sci Rep. 2021 08 26; 11(1):17234.
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Evaluating Stability and Activity of SARS-CoV-2 PLpro for High-throughput Screening of Inhibitors. Mol Biotechnol. 2022 Jan; 64(1):1-8.
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CD99 and polymeric immunoglobulin receptor peptides deregulation in critical COVID-19: A potential link to molecular pathophysiology? Proteomics. 2021 10; 21(20):e2100133.