Ceroni Alessio, Passerini Andrea, Vullo Alessandro, Frasconi Paolo
Machine Learning and Neural Networks Group, Università degli Studi di Firenze, Dipartimento di Sistemi e Informatica, Via di Santa Marta 3, 50139 Firenze, Italy.
Nucleic Acids Res. 2006 Jul 1;34(Web Server issue):W177-81. doi: 10.1093/nar/gkl266.
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/.
DISULFIND是一个服务器,仅从序列开始预测半胱氨酸的二硫键结合状态及其二硫键连接性。可选择地,二硫键连接性可以根据输入的序列和给定的结合状态分配来预测。输出是分配的结合状态(带有置信度)和最可能的连接模式的简单可视化。该服务器可在http://disulfind.dsi.unifi.it/获取。