Literature DB >> 21470140

Promises of apoptosis-inducing peptides in cancer therapeutics.

David Barras1, Christian Widmann.   

Abstract

Until recently, most research efforts aimed at developing anti-cancer tools were focusing on small molecules. Alternative compounds are now being increasingly assessed for their potential anti-cancer properties, including peptides and their derivatives. One earlier limitation to the use of peptides was their limited capacity to cross membranes but this limitation was alleviated with the characterization of cell-permeable sequences. Additionally, means are designed to target peptides to their malignant targets. Most anti-cancer peptidic compounds induce apoptosis of tumor cells by modulating the activity of Bcl-2 family members that control the release of death factors from the mitochondria or by inhibiting negative regulators of caspases, the proteases that mediate the apoptotic response in cells. Some of these peptides have been shown to inhibit the growth of tumors in mouse models. Hopefully, pro-apoptotic anti-tumor peptides will soon be tested for their efficacy in patients with cancers.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21470140     DOI: 10.2174/138920111796117337

Source DB:  PubMed          Journal:  Curr Pharm Biotechnol        ISSN: 1389-2010            Impact factor:   2.837


  11 in total

1.  ACPred-FL: a sequence-based predictor using effective feature representation to improve the prediction of anti-cancer peptides.

Authors:  Leyi Wei; Chen Zhou; Huangrong Chen; Jiangning Song; Ran Su
Journal:  Bioinformatics       Date:  2018-12-01       Impact factor: 6.937

2.  β-Actin-binding complementarity-determining region 2 of variable heavy chain from monoclonal antibody C7 induces apoptosis in several human tumor cells and is protective against metastatic melanoma.

Authors:  Denise C Arruda; Luana C P Santos; Filipe M Melo; Felipe V Pereira; Carlos R Figueiredo; Alisson L Matsuo; Renato A Mortara; Maria A Juliano; Elaine G Rodrigues; Andrey S Dobroff; Luciano Polonelli; Luiz R Travassos
Journal:  J Biol Chem       Date:  2012-02-13       Impact factor: 5.157

3.  Anticancer Peptide Prediction via Multi-Kernel CNN and Attention Model.

Authors:  Xiujin Wu; Wenhua Zeng; Fan Lin; Peng Xu; Xinzhu Li
Journal:  Front Genet       Date:  2022-04-27       Impact factor: 4.772

4.  A novel microtubule de-stabilizing complementarity-determining region C36L1 peptide displays antitumor activity against melanoma in vitro and in vivo.

Authors:  Carlos R Figueiredo; Alisson L Matsuo; Ricardo A Azevedo; Mariana H Massaoka; Natalia Girola; Luciano Polonelli; Luiz R Travassos
Journal:  Sci Rep       Date:  2015-09-22       Impact factor: 4.379

5.  CancerPPD: a database of anticancer peptides and proteins.

Authors:  Atul Tyagi; Abhishek Tuknait; Priya Anand; Sudheer Gupta; Minakshi Sharma; Deepika Mathur; Anshika Joshi; Sandeep Singh; Ankur Gautam; Gajendra P S Raghava
Journal:  Nucleic Acids Res       Date:  2014-09-30       Impact factor: 16.971

6.  Assessment of the chemosensitizing activity of TAT-RasGAP317-326 in childhood cancers.

Authors:  Nadja Chevalier; Nicole Gross; Christian Widmann
Journal:  PLoS One       Date:  2015-03-31       Impact factor: 3.240

7.  ACP-DL: A Deep Learning Long Short-Term Memory Model to Predict Anticancer Peptides Using High-Efficiency Feature Representation.

Authors:  Hai-Cheng Yi; Zhu-Hong You; Xi Zhou; Li Cheng; Xiao Li; Tong-Hai Jiang; Zhan-Heng Chen
Journal:  Mol Ther Nucleic Acids       Date:  2019-05-10       Impact factor: 8.886

8.  Nano Milk Protein-Mucilage Complexes: Characterization and Anticancer Effect.

Authors:  Ahmed Ali Abd El-Maksoud; Amal I A Makhlouf; Ammar B Altemimi; Ismail H Abd El-Ghany; Amr Nassrallah; Francesco Cacciola; Tarek Gamal Abedelmaksoud
Journal:  Molecules       Date:  2021-10-21       Impact factor: 4.411

9.  Effect of Silkworm Pupa Protein Hydrolysates on Proliferation of Gastric Cancer Cells In Vitro.

Authors:  Weixin Li; Lixia Mu; Yuxiao Zou; Weifei Wang; Haifeng Zhao; Xuli Wu; Sentai Liao
Journal:  Foods       Date:  2022-08-07

10.  ACP-DA: Improving the Prediction of Anticancer Peptides Using Data Augmentation.

Authors:  Xian-Gan Chen; Wen Zhang; Xiaofei Yang; Chenhong Li; Hengling Chen
Journal:  Front Genet       Date:  2021-06-30       Impact factor: 4.599

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.