DISULFIND: a disulfide bonding state and cysteine connectivity prediction server

被引:277
作者
Ceroni, Alessio
Passerini, Andrea
Vullo, Alessandro
Frasconi, Paolo
机构
[1] Univ Florence, Machine Learning & Neural Networks Grp, Dipartimento Sistemi & Informat, I-50139 Florence, Italy
[2] Univ Coll Dublin, Sch Comp Sci & Informat, Dublin 4, Ireland
关键词
D O I
10.1093/nar/gkl266
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
DISULFIND is a server for predicting the disulfide bonding state of cysteines and their disulfide connectivity starting from sequence alone. Optionally, disulfide connectivity can be predicted from sequence and a bonding state assignment given as input. The output is a simple visualization of the assigned bonding state ( with confidence degrees) and the most likely connectivity patterns. The server is available at http://disulfind.dsi.unifi.it/.
引用
收藏
页码:W177 / W181
页数:5
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