当前位置: X-MOL 学术Bioinformatics › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
CRiSP: accurate structure prediction of disulfide-rich peptides with cystine-specific sequence alignment and machine learning.
Bioinformatics ( IF 5.8 ) Pub Date : 2020-03-26 , DOI: 10.1093/bioinformatics/btaa193
Zi-Lin Liu 1 , Jing-Hao Hu 1, 2 , Fan Jiang 1, 3 , Yun-Dong Wu 1, 2, 4
Affiliation  

High-throughput sequencing discovers many naturally occurring disulfide-rich peptides or cystine-rich peptides (CRPs) with diversified bioactivities. However, their structure information, which is very important to peptide drug discovery, is still very limited.

中文翻译:

CRiSP:具有胱氨酸特异性序列比对和机器学习的富含二硫键的肽的准确结构预测。

高通量测序发现许多天然存在的具有丰富生物活性的富含二硫键的肽或富含胱氨酸的肽(CRP)。然而,它们的结构信息对于肽药​​物的发现非常重要,但仍然非常有限。
更新日期:2020-03-26
down
wechat
bug