Bioinformatics Study of Sea Cucumber Peptides as Antibreast Cancer Through Inhibiting the Activity of Overexpressed Protein (EGFR, PI3K, AKT1, and CDK4).

IF 2.4 Q2 MATHEMATICAL & COMPUTATIONAL BIOLOGY Cancer Informatics Pub Date : 2021-07-13 eCollection Date: 2021-01-01 DOI:10.1177/11769351211031864
Teresa Liliana Wargasetia, Hana Ratnawati, Nashi Widodo, Muhammad Hermawan Widyananda
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引用次数: 10

Abstract

Breast cancer is the most common type of cancer in women globally. The overexpressed proteins, including EGFR, PI3K, AKT1, and CDK4, have a role in the growth of breast cancer cells. The 3D peptide structure of sea cucumber Cucumaria frondosa was modeled and then docked with EGFR, PI3K, AKT1, and CDK4 proteins using AutoDock Vina software. The docking result, which has the best binding affinity value, is continued with molecular dynamics simulation. The docking results showed that all peptides bind to the active sites of the four proteins. WPPNYQW and YDWRF peptides bind to proteins with lower binding affinity values than positive controls. The four proteins were in a stable state when complexed with the WPPNYQW peptide, which was seen from the RMSD and RMSF value. PI3K-YDWRF and AKT1-YDWRF complexes are stable, characterized by high RMSD values and increased volatility in several amino acids. WPPNYQW peptide has high potential as an antibreast cancer agent because it binds to the active sites of the four proteins with low binding affinity values and stable interactions. Meanwhile, the YDWRF peptide interacts with the four proteins with low binding affinity values, but the interaction is only stable on PI3K and AKT1 proteins.

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海参多肽通过抑制过表达蛋白(EGFR、PI3K、AKT1、CDK4)活性抗乳腺癌的生物信息学研究
乳腺癌是全球女性中最常见的癌症类型。过度表达的蛋白,包括EGFR, PI3K, AKT1和CDK4,在乳腺癌细胞的生长中起作用。采用AutoDock Vina软件对海参的三维肽结构进行建模,并与EGFR、PI3K、AKT1和CDK4蛋白进行对接。结合亲和值最佳的对接结果继续进行分子动力学模拟。对接结果表明,所有肽都与这四种蛋白的活性位点结合。与阳性对照相比,WPPNYQW和YDWRF肽与蛋白质的结合亲和力值较低。从RMSD值和RMSF值可以看出,这4种蛋白与WPPNYQW肽络合后处于稳定状态。PI3K-YDWRF和AKT1-YDWRF复合物是稳定的,其特征是RMSD值高,并且在一些氨基酸中增加了挥发性。WPPNYQW肽结合四种蛋白的活性位点,结合亲和力低,相互作用稳定,具有很高的抗乳腺癌潜力。同时,YDWRF肽与4种结合亲和力值较低的蛋白相互作用,但仅与PI3K和AKT1蛋白相互作用稳定。
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来源期刊
Cancer Informatics
Cancer Informatics Medicine-Oncology
CiteScore
3.00
自引率
5.00%
发文量
30
审稿时长
8 weeks
期刊介绍: The field of cancer research relies on advances in many other disciplines, including omics technology, mass spectrometry, radio imaging, computer science, and biostatistics. Cancer Informatics provides open access to peer-reviewed high-quality manuscripts reporting bioinformatics analysis of molecular genetics and/or clinical data pertaining to cancer, emphasizing the use of machine learning, artificial intelligence, statistical algorithms, advanced imaging techniques, data visualization, and high-throughput technologies. As the leading journal dedicated exclusively to the report of the use of computational methods in cancer research and practice, Cancer Informatics leverages methodological improvements in systems biology, genomics, proteomics, metabolomics, and molecular biochemistry into the fields of cancer detection, treatment, classification, risk-prediction, prevention, outcome, and modeling.
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