Conformation as the Therapeutic Target for Neurodegenerative Diseases

Author:

Krishnan Rajaraman1,Hefti Franz,Tsubery Haim,Lulu Michal,Proschitsky Ming,Fisher Richard

Affiliation:

1. Proclara Biosciences, 222 Third Street, Cambridge, MA 02142,, United States

Abstract

Therapeutic strategies that target pathways of protein misfolding and the toxicity of intermediates along these pathways are mainly at discovery and early development stages, with the exception of monoclonal antibodies that have mainly failed to produce convincing clinical benefits in late stage trials. The clinical failures represent potentially critical lessons for future neurodegenerative disease drug development. More effective drugs may be achieved by pursuing the following two strategies. First, conformational targeting of aggregates of misfolded proteins, rather than less specific binding that includes monomer subunits, which vastly outnumber the toxic targets. Second, since neurodegenerative diseases frequently include more than one potential protein pathology, generic targeting of aggregates by shape might also be a crucial feature of a drug candidate. Incorporating both of these critical features into a viable drug candidate along with high affinity binding has not been achieved with small molecule approaches or with antibody fragments. Monoclonal antibodies developed so far are not broadly acting through conformational recognition. Using GAIM (General Amyloid Interaction Motif) represents a novel approach that incorporates high affinity conformational recognition for multiple protein assemblies, as well as recognition of an array of assemblies along the misfolding pathway between oligomers and fibers. A GAIM-Ig fusion, NPT088, is nearing clinical testing.

Publisher

Bentham Science Publishers Ltd.

Subject

Clinical Neurology,Neurology

Cited by 10 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3