five

CAIRA: Catalytic associated irregular residue analyser

收藏
NIAID Data Ecosystem2026-05-02 收录
下载链接:
http://datadryad.org/dataset/doi%253A10.5061%252Fdryad.c59zw3rj5
下载链接
链接失效反馈
官方服务:
资源简介:
For the semi-automated identification of potential cleavage specificity-modulating SNVs we developed a program, called CAIRA (Catalytic Associated Irregular Residue Analyser). Entering the UniProt ID of a protease, CAIRA takes the predicted AlphaFold structure, generates a user-definable radius (e.g. 20 Å) around the active site and filters the COSMIC database for cancer-associated SNVs within this radius, which might have cleavage specificity-modulating effects. CAIRA can be used with all types of proteases (metallo, serine, aspartyl and cysteine proteases). To further assess their potential impact, SNV-affected amino acids are labelled in the protein structure of a downloadable pdb-file. Methods CAIRA was programmed using python. Protein structures were obtained from AlphaFold. Cleavage specificity logos were generated as described above using cleavage site specificity data from MEROPS the Peptidase Database. Cancer-associated SNVs data was taken from the COSMIC database (cancer.sanger.ac.uk;). Catalytically important amino acid residue(s) within the active site were extracted from UniProt annotation  and are used as the centre of the sphere. For proteases with more than one catalytically important amino acid residue within the active site (aspartyl, serine and cysteine proteases) CAIRA uses the middle between the relevant residues as the centre of the sphere. In the beta version, the ‘use binding cavity (beta)’ button can also be additionally used to switch to a version in which the binding cavity is imitated and SNVs can be output within it. For this purpose, cylinders of adjustable size are placed around the chemical bonds of the backbone of the protease's propeptide and amino acids of the protease that lie with at least one atom within these cylinders are filtered out and checked for annotated SNVs. The logo of CAIRA was designed with the help of Adobe Firefly.
创建时间:
2024-10-29
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作