ArticleAdvances and applications in bioinformatics and chemistry : AABC2020
Structural and Molecular Docking Analytical Studies of the Predicted Ligand Binding Sites of Cadherin-1 in Cancer Prognostics.
Article in Advances and applications in bioinformatics and chemistry : AABC, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Dual In Vivo and In Silico Exploration of Jet A‑1 Fuel Toxicity.ACS omega · 2026Article
- In Silico Analysis of Enantioselective Binding of Pomalidomide Targets for Multiple Myeloma.Chirality · 2026Article
- Potential diagnostic and drug target markers in glioblastoma.Scientific reports · 2024Article
- Plant Antimicrobial Peptides (PAMPs): Features, Applications, Production, Expression, and Challenges.Molecules (Basel, Switzerland) · 2022Review
- Biomedical Relevance of Novel Anticancer Peptides in the Sensitive Treatment of Cancer.Biomolecules · 2021Review
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Authors and funding
4 authors at 1 institution in 1 country.
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Abstract
introductionSeveral studies have explored the design of antimicrobial peptides (AMPs) for the development of therapeutic and diagnostic molecules for the treatment and identification of pathogenic diseases as well as cancer. Human cadherin-1 protein has been identified to be involved in adhesion-mediated signalling pathways in normal cells and its loss through genetic and epigenetic alterations can result in an enhanced invasion and metastasis of malignancy in tumours. Therefore, the identification of cadherin during treatment of cancer can be used as prognostic biomarker to establish the responsiveness of patients to treatment regimen. Antimicrobial peptides (AMPs) offer several compensatory advantages in biomedical applications and have been used for treatment of diseases, dietary supplements and diagnosis of diseases. The aim of this research work was to use in silico approaches to analyse retrieved human cadherin-1 as prognostic targets in cancer treatments using modelled putative anticancer AMPs.
methodsThe structures of the putative AMPs and cadherin-1 were modelled using I-TASSER server and the protein overall quality was validated using PROCHECK. Thereafter, the protein motifs were predicted and the molecular interaction between the putative anticancer AMPs and protein was carried out using PatchDock.
resultsThe results revealed that all the AMPs were good prognostic molecules for cancer with BOO1 having the highest binding affinity of 15,874.
conclusionThis study revealed that all the generated AMPs have good prognostic value for monitoring the progress of cancer treatment using human cadherin-1 as receptor. This is the first report where AMPs were used in prognostics of cancer using human cadherin-1.
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