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DISULFINDTool Content

http://disulfind.dsi.unifi.it/

Protein > Biochemical Features
Protein > Sequence Features

DISULFIND is a server for predicting the disulfide bonding state of cysteines and their disulfide connectivity given a protein sequence.

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NAR Web Server Issue 2006
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tagsalgorithms amino acid sequence artificial intelligence binding sites computational biology computer simulation cysteine disulfide bridges disulfides gene expression profiling histidine machine learning metalloproteins molecular evolution molecular sequence data neural networks (computer) protein binding protein databases protein sequence analysis proteins sequence alignment

Documentation

DISULFIND is a server for predicting the disulfide bonding state of cysteines and their disulfide connectivity starting from sequence alone.

DISULFIND predicts disulfide patterns in two stages: (1) the disulfide bonding state of each cysteine is predicted by a BRNN-SVM binary classifier; (2) cysteines that are known to participate in the formation of bridges are paired by a Recursive Neural Network to obtain a connectivity pattern.

View Use Cases

Predict bonding state + connectivity pattern, given protein sequence

Predict disulfide connectivity given protein sequence AND user specified bonding state

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