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PepAnalyzer:通过序列预测肽属性。

PepAnalyzer: predicting peptide properties using its sequence.

机构信息

Molecular Biology Research Lab., Department of Zoology, Deshbandhu College, University of Delhi, Kalkaji, New Delhi, 110019, India.

Department of Computer Science, Deshbandhu College, University of Delhi, Kalkaji, New Delhi, 110019, India.

出版信息

Amino Acids. 2023 Oct;55(10):1371-1379. doi: 10.1007/s00726-023-03317-x. Epub 2023 Sep 5.


DOI:10.1007/s00726-023-03317-x
PMID:37668712
Abstract

Peptides are short linear molecules consisting of amino acids that play an essential role in most biological processes. They can treat diseases by working as a vaccine or antimicrobial agent and serves as a cancer molecule to deliver the drug to the target site for the treatment of cancer. They have the potential to solve the drawbacks of current medications and can be industrially produced in large quantities at low cost. However, poor chemical and physical stability, short circulating plasma half-life, and solubility are some issues that need solutions before they can be used as therapeutics. PepAnalyzer tool is a user-friendly tool that predicts 15 different properties such as binding potential, half-life, transmembrane patterns, test tube stability, charge, isoelectric point, molecular weights, and molar extinction coefficients only using the sequence. The tool is designed using BioPython utility and has even results with standard tools, such as Expasy, EBI, Genecorner, and Geneinfinity. The tool assists students, researchers, and the pharmaceutical sector. The PepAnalyzer tool's online platform is accessible at the link: http://www.iksmbrlabdu.in/peptool .

摘要

肽是由氨基酸组成的短线性分子,在大多数生物过程中发挥着重要作用。它们可以作为疫苗或抗菌剂来治疗疾病,也可以作为癌症分子将药物递送到靶部位以治疗癌症。它们有潜力解决现有药物的缺点,可以低成本大规模工业化生产。然而,较差的化学和物理稳定性、短循环血浆半衰期和溶解度等问题需要在将其用作治疗剂之前得到解决。PepAnalyzer 工具是一个用户友好的工具,仅使用序列即可预测 15 种不同的性质,如结合潜力、半衰期、跨膜模式、试管稳定性、电荷、等电点、分子量和摩尔消光系数。该工具是使用 BioPython 实用程序设计的,与 Expasy、EBI、Genecorner 和 Geneinfinity 等标准工具的结果一致。该工具为学生、研究人员和制药行业提供帮助。PepAnalyzer 工具的在线平台可在以下链接访问:http://www.iksmbrlabdu.in/peptool。

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[1]
PepAnalyzer: predicting peptide properties using its sequence.

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[2]
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[3]
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[4]
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[10]
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[2]
Peptide-based drug discovery through artificial intelligence: towards an autonomous design of therapeutic peptides.

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本文引用的文献

[1]
Vanadium exposure exacerbates allergic airway inflammation and remodeling through triggering reactive oxidative stress.

Front Immunol. 2022

[2]
Gam-COVID-Vac, EpiVacCorona, and CoviVac effectiveness against lung injury during Delta and Omicron variant surges in St. Petersburg, Russia: a test-negative case-control study.

Respir Res. 2022-10-10

[3]
Performance of Novel Antimicrobial Protein Bg_9562 and In Silico Predictions on Its Properties with Reference to Its Antimicrobial Efficiency against .

Antibiotics (Basel). 2022-3-8

[4]
Therapeutic peptides: current applications and future directions.

Signal Transduct Target Ther. 2022-2-14

[5]
Antimicrobial Peptides: A Potent Alternative to Antibiotics.

Antibiotics (Basel). 2021-9-10

[6]
IPC 2.0: prediction of isoelectric point and pKa dissociation constants.

Nucleic Acids Res. 2021-7-2

[7]
Characterizing Hydropathy of Amino Acid Side Chain in a Protein Environment by Investigating the Structural Changes of Water Molecules Network.

Front Mol Biosci. 2021-2-26

[8]
The Transporter Classification Database (TCDB): 2021 update.

Nucleic Acids Res. 2021-1-8

[9]
Optimization and kinetic modeling of interchain disulfide bond reoxidation of monoclonal antibodies in bioprocesses.

MAbs. 2020

[10]
Epitope Prediction by Novel Immunoinformatics Approach: A State-of-the-art Review.

Int J Pept Res Ther. 2020

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