背景(考古学)
生物信息学
计算生物学
神经科学
兴奋剂
功能(生物学)
癫痫
生物
计算机科学
生物信息学
遗传学
受体
基因
古生物学
作者
NULL AUTHOR_ID,NULL AUTHOR_ID,Tania Ciaglia,NULL AUTHOR_ID,Anna Piperno,NULL AUTHOR_ID,NULL AUTHOR_ID
出处
期刊:Molecules
[MDPI AG]
日期:2024-07-08
卷期号:29 (13): 3234-3234
标识
DOI:10.3390/molecules29133234
摘要
The growing interest in Kv7.2/7.3 agonists originates from the involvement of these channels in several brain hyperexcitability disorders. In particular, Kv7.2/7.3 mutants have been clearly associated with epileptic encephalopathies (DEEs) as well as with a spectrum of focal epilepsy disorders, often associated with developmental plateauing or regression. Nevertheless, there is a lack of available therapeutic options, considering that retigabine, the only molecule used in clinic as a broad-spectrum Kv7 agonist, has been withdrawn from the market in late 2016. This is why several efforts have been made both by both academia and industry in the search for suitable chemotypes acting as Kv7.2/7.3 agonists. In this context, in silico methods have played a major role, since the precise structures of different Kv7 homotetramers have been only recently disclosed. In the present review, the computational methods used for the design of Kv.7.2/7.3 small molecule agonists and the underlying medicinal chemistry are discussed in the context of their biological and structure-function properties.
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