ArticleTumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine2016
Cancer/testis antigens as molecular drug targets using network pharmacology.
Article in Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 11 citations in OpenAlex.
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- Can network pharmacology identify the anti-virus and anti- inflammatory activities of Shuanghuanglian oral liquid used in Chinese medicine for respiratory tract infection?European journal of integrative medicine · 2020Article
- Identifying Compound Effect of Drugs on Rheumatoid Arthritis Treatment Based on the Association Rule and a Random Walking-Based Model.BioMed research international · 2020Article
- Virtual Screening Technique Used to Estimate the Mechanism ofEvidence-based complementary and alternative medicine : eCAM · 2020Article
- A Network Pharmacology Study on the Active Ingredients and Potential Targets ofEvidence-based complementary and alternative medicine : eCAM · 2019Article
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Authors and funding
5 authors at 2 institutions in 1 country.
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Abstract
Present chemotherapeutic drugs have limited efficacy and severe side effects. Considering the complexity of cancer, an effective strategy is necessary to discover multiple new drug targets. Cancer/testis antigens are vital for cancer cell progression. We have performed a computational network analysis of cancer/testis antigens and assessed these antigens as drug targets. During this analysis, protein interaction network of 700 human CT antigens was investigated. CT antigen network consisted of eight independent components. Four major hubs and two minor hubs were identified that play nodal role in the flow of information across the largest network. We have predicted 30 potential drug targets by analysing several topological parameters such as betweenness centrality, cluster coefficient and probable protein complexes. Structural and functional roles of potential drug targets have also been anatomized. Analysis of the CT antigen network enables us to pinpoint a set of candidate proteins that if targeted could be detrimental for cancerous cell without affecting any normal cell. The list of putative proteins is a starting point for experimental validation and may help further in the discovery of new anticancer drug targets.
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