Literature DB >> 20021435

Trends in the exploration of anticancer targets and strategies in enhancing the efficacy of drug targeting.

F Zhu1, C J Zheng, L Y Han, B Xie, J Jia, X Liu, M T Tammi, S Y Yang, Y Q Wei, Y Z Chen.   

Abstract

A number of therapeutic targets have been explored for developing anticancer drugs. Continuous efforts have been directed at the discovery of new targets as well as the improvement of therapeutic efficacy of agents directed at explored targets. There are 84 and 488 targets of marketed and investigational drugs for the treatment of cancer or cancer related illness. Analysis of these targets, particularly those of drugs in clinical trials and US patents, provides useful information and perspectives about the trends, strategies and progresses in targeting key cancer-related processes and in overcoming the difficulties in developing efficacious drugs against these targets. The efficacy of anticancer drugs directed at these targets is frequently compromised by counteractive molecular interactions and network crosstalk, negative and adverse secondary effects of drugs, and undesired ADMET profiles. Multi-component therapies directed at multiple targets and improved drug targeting methods are being explored for alleviating these efficacy-reducing processes. Investigation of the modes of actions of these combinations and targeting methods offers clues to aid the development of more effective anticancer therapies.

Entities:  

Mesh:

Substances:

Year:  2008        PMID: 20021435     DOI: 10.2174/1874467210801030213

Source DB:  PubMed          Journal:  Curr Mol Pharmacol        ISSN: 1874-4672            Impact factor:   3.339


  8 in total

1.  Circulating tumor and cancer stem cells in hepatitis C virus-associated liver disease.

Authors:  Abeer A Bahnassy; Abdel-Rahman N Zekri; Ahmed El-Bastawisy; Amal Fawzy; Marwa Shetta; Nehal Hussein; Dalia Omran; Abdallah A S Ahmed; Samir S El-Labbody
Journal:  World J Gastroenterol       Date:  2014-12-28       Impact factor: 5.742

2.  Elucidation of the molecular mechanisms of a salicylhydrazide class of compounds by proteomic analysis.

Authors:  Xuefei Cao; Carmen Plasencia; Atsuko Kanzaki; Austin Yang; Terrence R Burke; Nouri Neamati
Journal:  Curr Cancer Drug Targets       Date:  2009-03       Impact factor: 3.428

3.  Identification of novel immune-relevant drug target genes for Alzheimer's Disease by combining ontology inference with network analysis.

Authors:  Zhi-Jie Han; Wei-Wei Xue; Lin Tao; Feng Zhu
Journal:  CNS Neurosci Ther       Date:  2018-08-14       Impact factor: 5.243

4.  Targeting SET/I(2)PP2A oncoprotein functions as a multi-pathway strategy for cancer therapy.

Authors:  C H Switzer; R Y S Cheng; T M Vitek; D J Christensen; D A Wink; M P Vitek
Journal:  Oncogene       Date:  2011-02-07       Impact factor: 9.867

5.  Assessing the Performances of Protein Function Prediction Algorithms from the Perspectives of Identification Accuracy and False Discovery Rate.

Authors:  Chun Yan Yu; Xiao Xu Li; Hong Yang; Ying Hong Li; Wei Wei Xue; Yu Zong Chen; Lin Tao; Feng Zhu
Journal:  Int J Mol Sci       Date:  2018-01-08       Impact factor: 5.923

6.  Determining the Balance Between Drug Efficacy and Safety by the Network and Biological System Profile of Its Therapeutic Target.

Authors:  Xiao Xu Li; Jiayi Yin; Jing Tang; Yinghong Li; Qingxia Yang; Ziyu Xiao; Runyuan Zhang; Yunxia Wang; Jiajun Hong; Lin Tao; Weiwei Xue; Feng Zhu
Journal:  Front Pharmacol       Date:  2018-10-31       Impact factor: 5.810

7.  Prediction of GluN2B-CT1290-1310/DAPK1 Interaction by Protein⁻Peptide Docking and Molecular Dynamics Simulation.

Authors:  Gao Tu; Tingting Fu; Fengyuan Yang; Lixia Yao; Weiwei Xue; Feng Zhu
Journal:  Molecules       Date:  2018-11-19       Impact factor: 4.411

8.  Discovery of the Consistently Well-Performed Analysis Chain for SWATH-MS Based Pharmacoproteomic Quantification.

Authors:  Jianbo Fu; Jing Tang; Yunxia Wang; Xuejiao Cui; Qingxia Yang; Jiajun Hong; Xiaoxu Li; Shuang Li; Yuzong Chen; Weiwei Xue; Feng Zhu
Journal:  Front Pharmacol       Date:  2018-06-26       Impact factor: 5.810

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.