Full Text Available
Note: Clicking the button above will open the full text document at the original institutional repository in a new window.
In silico screening, analysis, and modelling for a novel anticancer peptide
Cancer is currently one of the leading causes of mortality and morbidity worldwide. Most anticancer therapies rely on small molecule drugs (<0.5 kDa). As with all small molecule drugs, chemotherapy is highly toxic and presents many off-target side effects. Peptide drugs offer improved specificity an...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Published: |
AUC Knowledge Fountain
2016
|
| Subjects: | |
| Tags: |
No Tags, Be the first to tag this record!
|
| _version_ | 1867613409494695936 |
|---|---|
| access_status_str | Open Access |
| author | Abdou, Youssef |
| author_browse | Abdou, Youssef |
| author_facet | Abdou, Youssef |
| author_sort | Abdou, Youssef |
| collection | Thesis |
| dc_rights_str_mv | The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. |
| description | Cancer is currently one of the leading causes of mortality and morbidity worldwide. Most anticancer therapies rely on small molecule drugs (<0.5 kDa). As with all small molecule drugs, chemotherapy is highly toxic and presents many off-target side effects. Peptide drugs offer improved specificity and are cheaper and more accessible to manufacture. In this study, we have developed a support vector machine (SVM) model in order to detect peptide sequences with potential anticancer activity through scanning the Red Sea Metagenomic library. Furthermore, we conducted an in silico study in order to analyze one of the peptides returned by the SVM pipeline and assessed its cytotoxicity and the mode of cell death by conducting MTT and Annexin V staining assays, respectively. We observed that the selected anticancer peptide contains the C-terminal portion of the homeodomain structure, of human Pax6, an antennapedia homeodomain region, and can bind DNA. Furthermore, we observed dose-response cytotoxicity of HepG2 cells with our peptide. No such cytotoxicity was observed in HeLa cells; a morphological change, however, was observed. We examined the cytotoxicity of our drug against 1BR-hTERT normal skin cells. Our peptide drug induced dose-dependent cytotoxicity that was markedly weaker than that of cancer treated cells. Together our data illustrates the isolation of one peptide drug candidate from the AUC Red Sea metagenomic library; furthermore, we were able to observe the selective dose-dependent reduction of HepG2 cell viability |
| format | Thesis |
| id | oai:fount.aucegypt.edu:etds-1359 |
| institution | American University in Cairo (Egypt) |
| last_indexed | 2026-06-10T12:35:41.195Z |
| license_str | Other — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from AUC Knowledge Fountain — bepress |
| publishDate | 2016 |
| publishDateRange | 2016 |
| publishDateSort | 2016 |
| publisher | AUC Knowledge Fountain |
| publisherStr | AUC Knowledge Fountain |
| record_format | dspace |
| source_str | AUC Knowledge Fountain — bepress |
| spelling | oai:fount.aucegypt.edu:etds-1359 In silico screening, analysis, and modelling for a novel anticancer peptide Abdou, Youssef Cancer is currently one of the leading causes of mortality and morbidity worldwide. Most anticancer therapies rely on small molecule drugs (<0.5 kDa). As with all small molecule drugs, chemotherapy is highly toxic and presents many off-target side effects. Peptide drugs offer improved specificity and are cheaper and more accessible to manufacture. In this study, we have developed a support vector machine (SVM) model in order to detect peptide sequences with potential anticancer activity through scanning the Red Sea Metagenomic library. Furthermore, we conducted an in silico study in order to analyze one of the peptides returned by the SVM pipeline and assessed its cytotoxicity and the mode of cell death by conducting MTT and Annexin V staining assays, respectively. We observed that the selected anticancer peptide contains the C-terminal portion of the homeodomain structure, of human Pax6, an antennapedia homeodomain region, and can bind DNA. Furthermore, we observed dose-response cytotoxicity of HepG2 cells with our peptide. No such cytotoxicity was observed in HeLa cells; a morphological change, however, was observed. We examined the cytotoxicity of our drug against 1BR-hTERT normal skin cells. Our peptide drug induced dose-dependent cytotoxicity that was markedly weaker than that of cancer treated cells. Together our data illustrates the isolation of one peptide drug candidate from the AUC Red Sea metagenomic library; furthermore, we were able to observe the selective dose-dependent reduction of HepG2 cell viability 2016-02-01T08:00:00Z thesis application/pdf https://fount.aucegypt.edu/etds/360 https://fount.aucegypt.edu/context/etds/article/1359/viewcontent/Youssef_20abdou_20Thesis_20Final_20Bound_20Modifications.pdf The author retains all rights with regard to copyright. The author certifies that written permission from the owner(s) of third-party copyrighted matter included in the thesis, dissertation, paper, or record of study has been obtained. The author further certifies that IRB approval has been obtained for this thesis, or that IRB approval is not necessary for this thesis. Insofar as this thesis, dissertation, paper, or record of study is an educational record as defined in the Family Educational Rights and Privacy Act (FERPA) (20 USC 1232g), the author has granted consent to disclosure of it to anyone who requests a copy. Theses and Dissertations AUC Knowledge Fountain anticancer peptides anticancer |
| spellingShingle | anticancer peptides anticancer Abdou, Youssef In silico screening, analysis, and modelling for a novel anticancer peptide |
| title | In silico screening, analysis, and modelling for a novel anticancer peptide |
| title_full | In silico screening, analysis, and modelling for a novel anticancer peptide |
| title_fullStr | In silico screening, analysis, and modelling for a novel anticancer peptide |
| title_full_unstemmed | In silico screening, analysis, and modelling for a novel anticancer peptide |
| title_short | In silico screening, analysis, and modelling for a novel anticancer peptide |
| title_sort | in silico screening analysis and modelling for a novel anticancer peptide |
| topic | anticancer peptides anticancer |
| url | https://fount.aucegypt.edu/etds/360 https://fount.aucegypt.edu/context/etds/article/1359/viewcontent/Youssef_20abdou_20Thesis_20Final_20Bound_20Modifications.pdf |
| work_keys_str_mv | AT abdouyoussef insilicoscreeninganalysisandmodellingforanovelanticancerpeptide |