Literature DB >> 27554357

Protein-protein interaction inhibitors: advances in anticancer drug design.

Leonardo G Ferreira1, Glaucius Oliva1, Adriano D Andricopulo1.   

Abstract

INTRODUCTION: Pocket-based drug design has contributed to major scientific breakthroughs in pharmaceutical research and development (R&D). The integrated use of experimental and computational methods, primarily during the early phases of drug discovery, has enabled the development of highly potent and selective small-molecule ligands. In this scenario, the targeting of protein-protein interactions (PPIs) has emerged as an attractive strategy for designing innovative drugs for highly complex diseases, such as cancer. AREAS COVERED: This article focuses on the use of experimental and computational approaches with a diversity of PPI classes and discusses the relevant advances in the field, primarily for oncological applications. Analyses of the target binding pockets and medicinal chemistry approaches used to develop promising PPI inhibitors are provided, with an emphasis on data reported over the past 2 years. EXPERT OPINION: PPI drug discovery is a challenging field that depends completely on accurate structural data. The integration of molecular docking, nuclear magnetic resonance and X-ray crystallography is a cornerstone for the current development of effective PPI inhibitors. Although this field has not reached its peak, several compounds have entered clinical trials over the past few years, providing promising perspectives for novel therapies for highly prevalent and life-threatening conditions.

Entities:  

Keywords:  Structure-based drug design; X-ray crystallography; cancer; hot spots; molecular docking; protein-protein interactions

Mesh:

Substances:

Year:  2016        PMID: 27554357     DOI: 10.1080/17460441.2016.1223038

Source DB:  PubMed          Journal:  Expert Opin Drug Discov        ISSN: 1746-0441            Impact factor:   6.098


  6 in total

Review 1.  Breaking the Fourth Wall: Modulating Quaternary Associations for Protein Regulation and Drug Discovery.

Authors:  Marcus J C Long; Dziyana Hnedzko; Bo Kyoung Kim; Yimon Aye
Journal:  Chembiochem       Date:  2019-04-01       Impact factor: 3.164

2.  Identification of danthron as an isoform-specific inhibitor of HEME OXYGENASE-1/cytochrome P450 reductase interaction with anti-tumor activity.

Authors:  Yi-Tai Chou; Fu-Fei Hsu; Dun-Yao Hu; Ying-Chih Chen; Yuan-Hao Hsu; John T-A Hsu; Lee-Young Chau
Journal:  J Biomed Sci       Date:  2018-01-23       Impact factor: 8.410

3.  Characterizing the Hot Spots Involved in RON-MSPβ Complex Formation Using In Silico Alanine Scanning Mutagenesis and Molecular Dynamics Simulation.

Authors:  Omid Zarei; Maryam Hamzeh-Mivehroud; Silvia Benvenuti; Fulya Ustun-Alkan; Siavoush Dastmalchi
Journal:  Adv Pharm Bull       Date:  2017-04-13

4.  Altered Protein Interactions of the Endogenous Interactome of PTPIP51 towards MAPK Signaling.

Authors:  Alexander Brobeil; Rajaa Chehab; Eric Dietel; Stefan Gattenlöhner; Monika Wimmer
Journal:  Biomolecules       Date:  2017-07-21

Review 5.  Computer-Aided Ligand Discovery for Estrogen Receptor Alpha.

Authors:  Divya Bafna; Fuqiang Ban; Paul S Rennie; Kriti Singh; Artem Cherkasov
Journal:  Int J Mol Sci       Date:  2020-06-12       Impact factor: 5.923

6.  dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions.

Authors:  Quanya Liu; Peng Chen; Bing Wang; Jun Zhang; Jinyan Li
Journal:  BMC Bioinformatics       Date:  2018-11-27       Impact factor: 3.169

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.