生物信息学
适体
严重急性呼吸综合征冠状病毒2型(SARS-CoV-2)
选择(遗传算法)
2019年冠状病毒病(COVID-19)
2019-20冠状病毒爆发
生物
计算生物学
病毒学
计算机科学
遗传学
人工智能
医学
爆发
基因
传染病(医学专业)
疾病
病理
作者
Amir Muhaimin Akmal Shukri,Seok Mui Wang,Chaoli Feng,Suet Lin Chia,Siti Farah Alwani Mohd Nawi,Marimuthu Citartan
出处
期刊:Analyst
[Royal Society of Chemistry]
日期:2024-01-01
卷期号:149 (19): 4770-4788
摘要
Aptamers are molecular recognition elements that have been extensively deployed in a wide array of applications ranging from diagnostics to therapeutics. Due to their unique properties as compared to antibodies, aptamers were also largely isolated during the COVID-19 pandemic for multiple purposes. Typically generated by conventional SELEX, the inherent drawbacks of the process including the time-consuming, cumbersome and resource-intensive nature catalysed the move to adopt
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