Dataset Information

Molecular docking analysis of alkaloid compounds with beta-catenin towards the treatment of colon cancer.

ABSTRACT: It is known that beta-catenin is associated with fibromatosis, sarcoma and mesenchymal tumor. Therefore, it is of interest to design an effective inhibtitor to the target protein beta-catenin. In this study, we report the molecular docking analysis of alkaloid compounds (aristolochicacid, cryptopleurine, demecolcine, fagaronine and thalicarpine) with beta-catenin for further consideration towards the design and development of potential inhintors for the treatmnet of colon cancer.

SUBMITTER: Ponnulakshmi R

PROVIDER: S-EPMC7147492 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Molecular docking analysis of alkaloid compounds with beta-catenin towards the treatment of colon cancer.

Ponnulakshmi Rajagopal R Vishnupriya Veeraraghavan V Mohan Surapaneni Krishna SK Abilasha Srinivasan S Ramajayam Govindan G Vijayalakshmi Periyasamy P Rajalakshmi Manikkam M Selvaraj Jayaraman J

Bioinformation 20200331 3

It is known that beta-catenin is associated with fibromatosis, sarcoma and mesenchymal tumor. Therefore, it is of interest to design an effective inhibtitor to the target protein beta-catenin. In this study, we report the molecular docking analysis of alkaloid compounds (aristolochicacid, cryptopleurine, demecolcine, fagaronine and thalicarpine) with beta-catenin for further consideration towards the design and development of potential inhintors for the treatmnet of colon cancer. ...[more]

PMID: 32308271

Similar Datasets

Project description:BACKGROUND:The main challenge in cancer research is the identification of different omic variables that present a prognostic value and personalised diagnosis for each tumour. The fact that the diagnosis is personalised opens the doors to the design and discovery of new specific treatments for each patient. In this context, this work offers new ways to reuse existing databases and work to create added value in research. Three published signatures with significante prognostic value in Colon Adenocarcinoma (COAD) were indentified. These signatures were combined in a new meta-signature and validated with main Machine Learning (ML) and conventional statistical techniques. In addition, a drug repurposing experiment was carried out through Molecular Docking (MD) methodology in order to identify new potential treatments in COAD. RESULTS:The prognostic potential of the signature was validated by means of ML algorithms and differential gene expression analysis. The results obtained supported the possibility that this meta-signature could harbor genes of interest for the prognosis and treatment of COAD. We studied drug repurposing following a molecular docking (MD) analysis, where the different protein data bank (PDB) structures of the genes of the meta-signature (in total 155) were confronted with 81 anti-cancer drugs approved by the FDA. We observed four interactions of interest: GLTP - Nilotinib, PTPRN - Venetoclax, VEGFA - Venetoclax and FABP6 - Abemaciclib. The FABP6 gene and its role within different metabolic pathways were studied in tumour and normal tissue and we observed the capability of the FABP6 gene to be a therapeutic target. Our in silico results showed a significant specificity of the union of the protein products of the FABP6 gene as well as the known action of Abemaciclib as an inhibitor of the CDK4/6 protein and therefore, of the cell cycle. CONCLUSIONS:The results of our ML and differential expression experiments have first shown the FABP6 gene as a possible new cancer biomarker due to its specificity in colonic tumour tissue and no expression in healthy adjacent tissue. Next, the MD analysis showed that the drug Abemaciclib characteristic affinity for the different protein structures of the FABP6 gene. Therefore, in silico experiments have shown a new opportunity that should be validated experimentally, thus helping to reduce the cost and speed of drug screening. For these reasons, we propose the validation of the drug Abemaciclib for the treatment of colon cancer.

Dataset Information

Molecular docking analysis of alkaloid compounds with beta-catenin towards the treatment of colon cancer.

Publications

Molecular docking analysis of alkaloid compounds with beta-catenin towards the treatment of colon cancer.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets